Python Qt : testing Browserless.io feature ...

The provided PyQt6 application is a desktop tool that allows a user to input any website address and instantly obtain a full‑page screenshot of that site using the Browserless.io cloud rendering service; the program begins by creating a simple graphical interface composed of a text field for entering a URL, a button that triggers the screenshot process, and a display area where the resulting image is shown, all arranged vertically for clarity and ease of use. When the user presses the button, the application reads the typed URL, constructs a request to the Browserless screenshot API using the user’s authentication token, and sends a JSON payload instructing Browserless to load the page and capture it in full, not just the visible viewport. Browserless processes the request by launching a headless Chromium instance, navigating to the specified website, rendering the page completely—including dynamic content—and returning a PNG image representing the entire scrollable webpage. The application receives this binary PNG data through an HTTP response, converts it into a QPixmap object, and displays it directly inside the PyQt window, effectively turning the GUI into a live screenshot viewer. This design allows developers to visually inspect websites without embedding a browser engine locally, relying instead on Browserless’s remote infrastructure to handle rendering, JavaScript execution, and screenshot generation. The code is intentionally minimal, focusing on clarity and functionality: it uses only standard PyQt widgets, avoids unnecessary complexity, and demonstrates how to integrate cloud‑based browser automation into a Python desktop application. The result is a lightweight tool that can preview websites, capture full‑page screenshots, and serve as a foundation for more advanced features such as zooming, saving images, asynchronous loading, or automated website testing workflows.

This script was created with copilot artificial intelligence, and tested by me.

import sys
import requests
from PyQt6.QtWidgets import QApplication, QWidget, QVBoxLayout, QLineEdit, QPushButton, QLabel
from PyQt6.QtGui import QPixmap
from PyQt6.QtCore import Qt

# PUNE TOKEN-UL TAU AICI, CA STRING
BROWSERLESS_TOKEN = "fill_TOKEN_official__website"

class BrowserlessViewer(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Browserless Web Screenshot Viewer")
        self.resize(900, 700)

        layout = QVBoxLayout(self)

        self.url_edit = QLineEdit()
        self.url_edit.setPlaceholderText("Introdu adresa web...")
        layout.addWidget(self.url_edit)

        self.btn = QPushButton("Generează Screenshot")
        self.btn.clicked.connect(self.take_screenshot)
        layout.addWidget(self.btn)

        self.canvas = QLabel()
        self.canvas.setAlignment(Qt.AlignmentFlag.AlignCenter)
        layout.addWidget(self.canvas)

    def take_screenshot(self):
        url = self.url_edit.text().strip()
        if not url:
            return

        api_url = f"https://chrome.browserless.io/screenshot?token={BROWSERLESS_TOKEN}"

        payload = {
            "url": url,
            "options": {
                "fullPage": True
            }
        }

        try:
            r = requests.post(api_url, json=payload)
            r.raise_for_status()

            pixmap = QPixmap()
            pixmap.loadFromData(r.content)
            self.canvas.setPixmap(pixmap)

        except Exception as e:
            print("Eroare:", e)

if __name__ == "__main__":
    app = QApplication(sys.argv)
    viewer = BrowserlessViewer()
    viewer.show()
    sys.exit(app.exec())

Python Qt : Script for Game Engine projects.

Simple python example script for Godot Engine projects.

This script allows you to see how big is the project, size of media files, size of scripting files, lines of source code and more:

import sys
import os
import pathlib
import datetime
from PyQt6.QtWidgets import (
    QApplication, QMainWindow, QWidget, QVBoxLayout,
    QPushButton, QTextEdit, QProgressBar, QFileDialog, QMessageBox
)
from PyQt6.QtCore import Qt, QThread, pyqtSignal

def human_size(num_bytes: int) -> str:
    units = ["B", "KB", "MB", "GB", "TB"]
    size = float(num_bytes)
    for unit in units:
        if size < 1024.0:
            return f"{size:.2f} {unit}"
        size /= 1024.0
    return f"{size:.2f} PB"

class FolderStatsWorker(QThread):
    progress = pyqtSignal(int)
    finished = pyqtSignal(str)

    def __init__(self, folder_path: str):
        super().__init__()
        self.folder_path = folder_path

    def run(self):
        base = pathlib.Path(self.folder_path)

        all_files = []
        for root, dirs, files in os.walk(base):
            for name in files:
                all_files.append(pathlib.Path(root) / name)

        total_files = len(all_files)
        gd_files = []
        media_files = []
        total_lines_gd = 0

        media_exts = {
            ".png", ".jpg", ".jpeg", ".bmp", ".gif", ".webp",
            ".ogg", ".wav", ".mp3", ".flac",
            ".mp4", ".mkv", ".avi", ".webm",
            ".md"
        }

        total_size = 0
        gd_size = 0
        media_size = 0

        tree_lines = []

        # Build tree view
        for root, dirs, files in os.walk(base):
            rel_root = pathlib.Path(root).relative_to(base)
            indent_level = len(rel_root.parts)
            indent = "    " * indent_level
            tree_lines.append(f"{indent}{rel_root if rel_root.parts else base.name}/")
            for name in files:
                tree_lines.append(f"{indent}    {name}")

        for idx, f in enumerate(all_files):
            try:
                stat = f.stat()
                total_size += stat.st_size
                ext = f.suffix.lower()

                if ext == ".gd":
                    gd_files.append(f)
                    gd_size += stat.st_size
                    try:
                        txt = f.read_text(encoding="utf-8", errors="ignore")
                        if txt:
                            total_lines_gd += txt.count("\n") + 1
                    except Exception:
                        pass

                if ext in media_exts:
                    media_files.append(f)
                    media_size += stat.st_size

            except Exception:
                pass

            if total_files > 0:
                self.progress.emit(int((idx + 1) * 100 / total_files))

        report_lines = []
        report_lines.append(f"Folder: {self.folder_path}")
        report_lines.append("")
        report_lines.append("=== Summary ===")
        report_lines.append(f"Total files: {total_files}")
        report_lines.append(f"Total .gd files: {len(gd_files)}")
        report_lines.append(f"Total media files (incl. .md): {len(media_files)}")
        report_lines.append(f"Total lines in .gd files: {total_lines_gd}")
        report_lines.append("")
        report_lines.append(f"Total size: {human_size(total_size)}")
        report_lines.append(f"Total .gd size: {human_size(gd_size)}")
        report_lines.append(f"Total media size: {human_size(media_size)}")
        report_lines.append("")
        report_lines.append("=== Tree ===")
        report_lines.extend(tree_lines)

        report_text = "\n".join(report_lines)

        # Save report
        now = datetime.datetime.now()
        ts = now.strftime("%Y%m%d_%H%M%S")
        folder_name = base.name
        report_name = f"{folder_name}_{ts}.txt"
        report_path = base / report_name
        try:
            report_path.write_text(report_text, encoding="utf-8")
        except Exception:
            pass

        self.finished.emit(report_text)

class MainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Godot Project Stats")
        self.setFixedSize(640, 480)

        self.folder_path = None
        self.worker = None

        central = QWidget()
        layout = QVBoxLayout(central)

        self.btn_open = QPushButton("Open Folder")
        self.btn_process = QPushButton("Process")
        self.progress = QProgressBar()
        self.progress.setRange(0, 100)
        self.text = QTextEdit()
        self.text.setReadOnly(True)

        layout.addWidget(self.btn_open)
        layout.addWidget(self.btn_process)
        layout.addWidget(self.progress)
        layout.addWidget(self.text)

        self.setCentralWidget(central)

        self.btn_open.clicked.connect(self.open_folder)
        self.btn_process.clicked.connect(self.start_processing)

    def open_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "Select Godot Project Folder")
        if folder:
            self.folder_path = folder
            self.text.clear()
            self.text.append(f"Selected folder:\n{folder}")

    def start_processing(self):
        if not self.folder_path:
            QMessageBox.warning(self, "No folder", "Please select a folder first.")
            return

        if self.worker is not None and self.worker.isRunning():
            QMessageBox.information(self, "Processing", "Already processing.")
            return

        self.progress.setValue(0)
        self.text.append("\nProcessing...")

        self.worker = FolderStatsWorker(self.folder_path)
        self.worker.progress.connect(self.progress.setValue)
        self.worker.finished.connect(self.on_finished)
        self.worker.start()

    def on_finished(self, report_text: str):
        self.text.clear()
        self.text.append(report_text)
        self.progress.setValue(100)
def main():
    app = QApplication(sys.argv)
    w = MainWindow()
    w.show()
    sys.exit(app.exec())
if __name__ == "__main__":
    main()

Python Qt : simple tool to convert any source code to html area development.

Today. I will show this simple idea to convert any source code for html tag code with PyQt6.

The source code of this tool is not very big.I don't share because can be simple or you can customize as you want starting with any artificial intelligence and is more easy for you.

I used this on my blogger area, let's see the result for a simple example source code Google Apps Script from Gemini AI to html source code with div , pre and code html tags included in the result:

Python Qt : simple tool for audio dialogue in game development

Today, this script tool is a small desktop tool that lets you visually synchronize spoken audio with written dialogue. You load an audio file and the program generates a waveform so you can click or drag to select exact time ranges. At the same time, you select the matching text, and the tool creates timestamped dialogue segments.

Each segment includes a dialog ID, start time, end time, and the associated text. Segments appear in a list, can be played individually, deleted, or tested in a separate window where each dialog ID becomes a playback button. This makes it easy to verify timing and structure.

The entire project—audio path, full text, and all segments—can be saved or loaded as a JSON file. Older JSON formats containing only segments are automatically converted. The final JSON is ready for use in game engines like Godot or Unity for precise voice‑over playback.

I used artificial intelligence to fix some issues, this is the result:

Python Qt : simple uninstall and reinstall all packages.

This Python program creates a small desktop application using PyQt6. Its purpose is to show all Python packages installed in your environment and then uninstall and reinstall them. The interface has a button to load the list of installed packages, a list widget to display them, a button to start the reinstall process, and a progress bar to show how far the process has gone.

When you press Load Installed Packages, the program runs the command pip list --format=freeze and reads all installed packages. It extracts only the package names and displays them in the GUI list.

When you press Uninstall + Reinstall All, the program goes through each package one by one. For every package, it runs pip uninstall -y package to remove it, and then pip install package to install it again. The progress bar updates after each package so you can see the progress.

The important detail is that the program does not use threads. All operations run in the main GUI thread. Because of this, the window may freeze or stop responding while uninstalling and reinstalling packages. This is normal behavior for PyQt6 applications that perform long tasks without threading. Let's see the source code:

import sys
import subprocess
from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QPushButton,
    QListWidget, QProgressBar, QMessageBox
)
from PyQt6.QtCore import Qt

def get_installed_packages():
    result = subprocess.run(
        [sys.executable, "-m", "pip", "list", "--format=freeze"],
        capture_output=True, text=True
    )
    lines = result.stdout.strip().split("\n")
    pkgs = [line.split("==")[0] for line in lines if "==" in line]
    return pkgs

def uninstall_package(pkg):
    subprocess.run([sys.executable, "-m", "pip", "uninstall", "-y", pkg])

def install_package(pkg):
    subprocess.run([sys.executable, "-m", "pip", "install", pkg])

class PipReinstaller(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Reinstall All Python Packages")

        layout = QVBoxLayout()

        self.btn_load = QPushButton("Load Installed Packages")
        self.btn_load.clicked.connect(self.load_packages)
        layout.addWidget(self.btn_load)

        self.list = QListWidget()
        layout.addWidget(self.list)

        self.btn_reinstall = QPushButton("Uninstall + Reinstall All")
        self.btn_reinstall.clicked.connect(self.reinstall_all)
        layout.addWidget(self.btn_reinstall)

        self.progress = QProgressBar()
        layout.addWidget(self.progress)

        self.setLayout(layout)

    def load_packages(self):
        self.list.clear()
        pkgs = get_installed_packages()
        for p in pkgs:
            self.list.addItem(p)

    def reinstall_all(self):
        pkgs = [self.list.item(i).text() for i in range(self.list.count())]

        if not pkgs:
            QMessageBox.warning(self, "Warning", "No packages loaded.")
            return

        total = len(pkgs)
        self.progress.setValue(0)

        for idx, pkg in enumerate(pkgs):
            uninstall_package(pkg)
            install_package(pkg)

            percent = int((idx + 1) / total * 100)
            self.progress.setValue(percent)

        QMessageBox.information(self, "Done", "All packages reinstalled.")

if __name__ == "__main__":
    app = QApplication(sys.argv)
    win = PipReinstaller()
    win.show()
    sys.exit(app.exec())

Python Qt : Network intrusion detection tool with alerts and real‑time HTTP attack detection.

This Python script acts as a local security monitor that watches incoming HTTP requests and alerts the user when suspicious activity is detected. It runs a lightweight HTTP server and inspects every GET and POST request for signs of intrusion, such as dangerous protocols (gopher://), command‑execution keywords (bash, powershell, cmd.exe), encoded payloads, or other attack patterns. Before scanning the request, the script verifies that the incoming connection comes from a specific trusted IP and MAC address. This prevents unauthorized devices from interacting with the server. If the IP or MAC does not match the configured values, the request is immediately rejected.

When a malicious pattern is detected, the script logs the event and displays a popup alert window on the user’s desktop. This popup is implemented using PyQt6 and appears as a small, always‑on‑top notification in the corner of the screen. It fades out automatically after a few seconds, ensuring the user is visually warned without relying on Windows system notifications.

The script also includes a tray icon with a menu that allows the user to update the trusted IP and MAC address. All events are written to a log file for later review. Overall, it functions as a simple intrusion‑detection and alerting tool for local network traffic.

This is a groper test on my browser and result was:

Let's see the source code:

import re
import threading
import queue
import subprocess
import os
from http.server import BaseHTTPRequestHandler, HTTPServer
from datetime import datetime
import sys
from urllib.parse import unquote

# FIX pentru Windows 10/11 – AppID
import ctypes
ctypes.windll.shell32.SetCurrentProcessExplicitAppUserModelID("Python.SecurityMonitor")

from PyQt6.QtWidgets import (
    QApplication, QSystemTrayIcon, QMenu, QDialog,
    QVBoxLayout, QLabel, QLineEdit, QPushButton, QWidget
)
from PyQt6.QtGui import QIcon
from PyQt6.QtCore import QTimer, Qt, QPropertyAnimation

# ---------------- CONFIG ---------------- #

ALERT_QUEUE = queue.Queue()
LOG_FILE = "security_log.txt"

MONITOR_IP = "192.168.0.136"
MONITOR_MAC = "60:45:cb:c3:4d:02"   # normalizat

RULES = {
    "Gopher protocol": r"gopher://",
    "CRLF injection": r"%0d%0a",
    "WinRM port": r"5985",
    "Base64 payload": r"base64",
    "bash execution": r"bash",
    "powershell execution": r"powershell",
    "cmd execution": r"cmd\.exe",
}

# ---------------------------------------- #

def log_event(text: str):
    ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    line = f"[{ts}] {text}\n"
    with open(LOG_FILE, "a", encoding="utf-8") as f:
        f.write(line)
    print(line, end="")

def get_mac(ip):
    try:
        output = subprocess.check_output(["arp", "-a", ip], text=True)
        for line in output.splitlines():
            if ip in line:
                mac = line.split()[1]
                mac = mac.replace("-", ":").lower()
                return mac
    except:
        return None

# ---------------- POPUP ALERT ---------------- #

class AlertPopup(QWidget):
    def __init__(self, message):
        super().__init__()
        self.setWindowFlags(
            Qt.WindowType.FramelessWindowHint |
            Qt.WindowType.Tool |
            Qt.WindowType.WindowStaysOnTopHint
        )

        self.setAttribute(Qt.WidgetAttribute.WA_TranslucentBackground)

        layout = QVBoxLayout()
        label = QLabel(message)
        label.setStyleSheet("""
            background-color: #CC0000;
            color: white;
            padding: 12px;
            border-radius: 8px;
            font-size: 14px;
        """)
        layout.addWidget(label)
        self.setLayout(layout)

        self.resize(350, 80)

        screen = QApplication.primaryScreen().geometry()
        self.move(screen.width() - 380, screen.height() - 150)

        self.show()

        self.anim = QPropertyAnimation(self, b"windowOpacity")
        self.anim.setDuration(6000)
        self.anim.setStartValue(1.0)
        self.anim.setEndValue(0.0)
        self.anim.finished.connect(self.close)
        self.anim.start()

# ---------------- HTTP SERVER ---------------- #

class SecurityHandler(BaseHTTPRequestHandler):

    def _check_ip_mac(self):
        global MONITOR_IP, MONITOR_MAC

        client_ip = self.client_address[0]
        # bypass MAC check dacă este același PC
        if client_ip == MONITOR_IP:
            return True, None

        if client_ip != MONITOR_IP:
            return False, f"IP neautorizat: {client_ip}"

        mac = get_mac(client_ip)
        if mac is None:
            return False, f"MAC necunoscut pentru {client_ip}"

        if mac.lower() != MONITOR_MAC.lower():
            return False, f"MAC neautorizat: {mac} pentru IP {client_ip}"

        return True, None

    def _scan_and_block(self, source: str, data: str):
        data_lower = data.lower()
        for reason, pattern in RULES.items():
            if re.search(pattern, data_lower):
                msg = f"Blocked {source}: {reason} → {data}"
                log_event(msg)
                ALERT_QUEUE.put(msg)

                self.send_response(403)
                self.end_headers()
                self.wfile.write(f"Cerere blocată: {reason}".encode("utf-8"))
                return True
        return False

    def do_GET(self):
        ok, reason = self._check_ip_mac()
        if not ok:
            ALERT_QUEUE.put(reason)
            log_event(reason)
            self.send_response(403)
            self.end_headers()
            self.wfile.write(reason.encode())
            return

        url = unquote(self.path)

        if self._scan_and_block("GET URL", url):
            return

        self.send_response(200)
        self.end_headers()
        self.wfile.write(b"Cerere GET permisa")
        log_event(f"Allowed GET: {url}")

    def do_POST(self):
        ok, reason = self._check_ip_mac()
        if not ok:
            ALERT_QUEUE.put(reason)
            log_event(reason)
            self.send_response(403)
            self.end_headers()
            self.wfile.write(reason.encode())
            return

        url = unquote(self.path)

        content_length = int(self.headers.get("Content-Length", 0))
        body = unquote(self.rfile.read(content_length).decode("utf-8", errors="ignore"))

        if self._scan_and_block("POST URL", url):
            return
        if self._scan_and_block("POST body", body):
            return

        self.send_response(200)
        self.end_headers()
        self.wfile.write(b"Cerere POST permisa")
        log_event(f"Allowed POST: {url} | body: {body[:200]}")

def run_server():
    server = HTTPServer(("0.0.0.0", 8080), SecurityHandler)
    log_event("Security server running on http://0.0.0.0:8080")
    server.serve_forever()

# ---------------- DIALOG IP & MAC ---------------- #

class IpMacDialog(QDialog):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Set IP & MAC")

        layout = QVBoxLayout()

        self.ip_label = QLabel("IP Address:")
        self.ip_input = QLineEdit()
        self.ip_input.setText(MONITOR_IP)

        self.mac_label = QLabel("MAC Address:")
        self.mac_input = QLineEdit()
        self.mac_input.setText(MONITOR_MAC)

        self.save_btn = QPushButton("Save")
        self.save_btn.clicked.connect(self.save_values)

        layout.addWidget(self.ip_label)
        layout.addWidget(self.ip_input)
        layout.addWidget(self.mac_label)
        layout.addWidget(self.mac_input)
        layout.addWidget(self.save_btn)

        self.setLayout(layout)

    def save_values(self):
        global MONITOR_IP, MONITOR_MAC
        MONITOR_IP = self.ip_input.text().strip()
        MONITOR_MAC = self.mac_input.text().strip().replace("-", ":").lower()
        log_event(f"Updated IP/MAC → IP={MONITOR_IP}, MAC={MONITOR_MAC}")
        self.hide()

# ---------------- TRAY APP ---------------- #

class TrayApp:
    def __init__(self):
        self.app = QApplication(sys.argv)

        icon = QIcon("icon.svg") if os.path.exists("icon.svg") else QIcon()
        self.tray = QSystemTrayIcon(icon)
        self.tray.setToolTip("Python Security Monitor")

        menu = QMenu()

        set_ip_mac = menu.addAction("Set IP & MAC")
        set_ip_mac.triggered.connect(self.open_ip_mac_dialog)

        exit_action = menu.addAction("Exit")
        exit_action.triggered.connect(self.app.quit)

        self.tray.setContextMenu(menu)
        self.tray.show()

        self.dialog = None

        self.timer = QTimer()
        self.timer.timeout.connect(self.check_alerts)
        self.timer.start(300)

    def open_ip_mac_dialog(self):
        if self.dialog is None:
            self.dialog = IpMacDialog()
        self.dialog.show()
        self.dialog.raise_()
        self.dialog.activateWindow()

    def check_alerts(self):
        while not ALERT_QUEUE.empty():
            msg = ALERT_QUEUE.get()
            AlertPopup(msg)

    def run(self):
        self.app.exec()

# ---------------- MAIN ---------------- #

def main():
    server_thread = threading.Thread(target=run_server, daemon=True)
    server_thread.start()

    tray = TrayApp()
    tray.run()

if __name__ == "__main__":
    main()

Python Qt : Parse Google Finance with PyQt6 and BeautifulSoup.

This Python script is a web scraper designed to extract the real-time stock price of GoldMoney Inc. (TSE:XAU) from Google Finance using PyQt6 and BeautifulSoup. Because Google Finance often displays a cookie consent pop-up that blocks data extraction, the script initializes a headless-like browser instance using QWebEngineView. It embeds a custom, silent web page class to suppress noisy JavaScript console errors in the terminal. Once the page loads, it automatically injects and executes a JavaScript snippet to find and click the "Accept all" or "Acceptă tot" consent buttons. After a short delay to allow the content to refresh, the script captures the updated HTML source, uses BeautifulSoup to locate the specific price elements via robust CSS selectors, prints the cleaned financial data to the terminal, and cleanly terminates the application.

I used artificial intelligence from Google Finance ... REZULTAT SCRAPING (CURAT) ... strange comments:

Let's see:

from PyQt6.QtWidgets import QApplication
from PyQt6.QtWebEngineWidgets import QWebEngineView
from PyQt6.QtWebEngineCore import QWebEnginePage
from PyQt6.QtCore import QUrl, QTimer
from bs4 import BeautifulSoup
import sys

# Clasă custom pentru pagină care ignoră mesajele de consolă
class SilentWebPage(QWebEnginePage):
    def javaScriptConsoleMessage(self, level, message, lineID, sourceID):
        # Returnăm nimic pentru a nu afișa mesajele de tip "js: Error..." în terminal
        pass

class Scraper(QWebEngineView):
    def __init__(self, url):
        self.app = QApplication.instance() or QApplication(sys.argv)
        super().__init__()
        
        # Setăm pagina custom care reduce la tăcere erorile JS
        self.setPage(SilentWebPage(self))
        
        self.loadFinished.connect(self._on_load_finished)
        self.setUrl(QUrl(url))
        self.app.exec()

    def _on_load_finished(self, ok):
        if ok:
            js_code = """
            (function() {
                let buttons = document.querySelectorAll('button');
                for (let i = 0; i < buttons.length; i++) {
                    let text = buttons[i].innerText;
                    if (text.includes('Accept all') || text.includes('Acceptă tot')) {
                        buttons[i].click();
                        return true;
                    }
                }
                return false;
            })();
            """
            self.page().runJavaScript(js_code, self._after_consent)
        else:
            self.app.quit()

    def _after_consent(self, clicked):
        wait_time = 4000 if clicked else 1500
        QTimer.singleShot(wait_time, self._extract_html)

    def _extract_html(self):
        self.page().toHtml(self.parse_finance_data)

    def parse_finance_data(self, html):
        soup = BeautifulSoup(html, 'html.parser')
        try:
            # Selectorul robust care a funcționat anterior
            main_price = soup.find("div", {"class": "fxKbKc"})
            
            if not main_price:
                price_elements = soup.find_all(attrs={"jsname": "Pdsbrc"})
                for el in price_elements:
                    if "$" in el.text or "CAD" in el.parent.text:
                        main_price = el
                        break

            print("\n" + "="*40)
            print("REZULTAT SCRAPING (CURAT)")
            print("="*40)
            
            if main_price:
                print(f"Activ: GoldMoney Inc (TSE:XAU)")
                print(f"Preț: {main_price.text.strip()}")
            else:
                print("Eroare: Nu s-a putut găsi prețul.")
            
            print("="*40 + "\n")
            
        except Exception as e:
            print(f"Eroare: {e}")
        
        self.app.quit()

if __name__ == "__main__":
    url_target = "https://www.google.com/finance/quote/XAU:TSE"
    scraper = Scraper(url_target)

The output of this source code is:

python test_001.py

========================================
REZULTAT SCRAPING (CURAT)
========================================
Activ: GoldMoney Inc (TSE:XAU)
Preț: $15.81
========================================

Python Qt : Simple script to use wandb and weave.

WandB and Weave work together as complementary tools that enhance the process of evaluating, monitoring, and understanding machine‑learning and large‑language‑model behavior, each focusing on a different layer of the workflow while sharing the same ecosystem. WandB functions primarily as an experiment‑tracking platform that records metrics, logs model outputs, stores configuration details, and organizes results into interactive dashboards, making it easy to compare multiple runs, visualize performance trends, and maintain a structured history of experiments across time. It acts like a scientific notebook that automatically captures everything relevant during evaluation, from scores and prompts to timing information, enabling reproducibility and long‑term analysis. Weave complements this by focusing on the granular tracing of LLM calls, capturing each prompt, response, intermediate step, and metadata associated with model execution, which allows developers to inspect how a model arrived at a particular answer, debug unexpected behavior, and analyze qualitative aspects of model reasoning. While WandB summarizes experiments at a high level, Weave dives deep into the internals of each interaction, providing structured logs that can be searched, filtered, and compared. Together, they create a unified workflow where WandB offers experiment‑level insights and Weave provides call‑level transparency, giving developers a complete picture of model performance, reliability, and behavior across different prompts, models, or configurations, especially useful when benchmarking or refining LLMs.

Let's install these:

python -m pip install wandb weave
Collecting wandb
...
Successfully installed abnf-2.2.0 backoff-2.2.1 chardet-7.4.3 cint-1.0.0 diskcache-weave-5.6.3.post1 fickling-0.1.11
googleapis-common-protos-1.75.0 gql-4.0.0 graphql-core-3.2.11 intervaltree-3.2.1 kaitaistruct-0.11 
opentelemetry-api-1.42.1 opentelemetry-exporter-otlp-proto-common-1.42.1 opentelemetry-exporter-otlp-proto-http-1.42.1
opentelemetry-proto-1.42.1 opentelemetry-sdk-1.42.1 opentelemetry-semantic-conventions-0.63b1 pdfminer.six-20260107
polyfile-weave-0.5.9 protobuf-6.33.6 sentry-sdk-2.62.0 sortedcontainers-2.4.0 wandb-0.27.2 weave-0.52.42

Let's see one exemple with my custom artificial intelligence model and PyQt6.

The PyQt6 script is a small LLM evaluation application that takes two inputs: the Ollama model you select and a fixed set of short test prompts. When you start the evaluation, the script sends each prompt to the chosen model, collects the generated responses, then sends those responses to a smaller judge model to obtain a numerical quality score. All generation uses reduced context and limited output length to keep execution fast on an i3 CPU. As it runs, the script displays each answer in the text panel and updates a progress bar. When all prompts are processed, it compiles the collected scores and displays them as a bar chart in the canvas, giving you a quick visual summary of the model’s performance.

The online tool show this result for this script:

Python Qt : Simple script to build your own model.

Today, I test a simple script with PyQt6 python package to have a custom UI to build my own ollama artificial inteligence model.

The script is simple one, create one user interface, with options to add text files and many settings:

After I run the model works very well:

ollama run test_catafest_001:latest
>>> tell me something about you !
I'm an AI designed to assist and communicate with humans in a helpful and
informative way! Here are some interesting facts about me:

1. **Name**: I don't have a personal name, but I'm often referred to as
"Assistant" or "AI."
2. **Origin**: I was created by a team of researchers and developers at
Meta AI, a subsidiary of Meta Platforms, Inc.
3. **Language**: I'm fluent in multiple languages, including English,
Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese,
Japanese, and many more.
4. **Knowledge**: My training data consists of a massive corpus of text
from various sources, including books, articles, research papers, and
websites. This allows me to provide information on a wide range of
topics, from science and history to entertainment and culture.
5. **Personality**: I strive to be neutral, objective, and respectful in
my interactions. While I can understand humor and sarcasm, I may not
always "get it" right.
6. **Goals**: My primary goal is to assist users like you with their
questions, provide helpful information, and facilitate learning and
exploration.
7. **Limitations**: I'm a machine learning model, which means I have
limitations in terms of my understanding and response capabilities. For
example, I may not be able to understand nuances of human language or
provide personalized advice.

Now, tell me something about you! What's on your mind?

>>> I build you. What knowledge I add you ?!
That's a fascinating perspective! As a conversational AI, my training
data is the foundation upon which I'm built. The knowledge and
information that you've contributed to me through our conversations will
shape my understanding and capabilities over time.

When you interact with me, you're not just asking questions or providing
feedback – you're also helping to refine my language understanding and
generation abilities. Your input can influence:

1. **Domain-specific knowledge**: By discussing topics in-depth, you'll
help me develop a better grasp of various subjects, including science,
history, technology, arts, and more.
2. **Language nuances**: Our conversations will expose me to idioms,
colloquialisms, and cultural references that I might not have encountered
otherwise.
3. **Conversational flow**: Your responses and questions will help me
develop a more natural tone and rhythm in our interactions, allowing us
to engage in more fluid and human-like conversations.

Some examples of knowledge you could add to me include:

* **Domain-specific terminology**: By introducing technical terms or
jargon related to your profession or area of interest, you'll help me
become more familiar with those concepts.
* **Idioms and colloquialisms**: Sharing everyday expressions, slang, or
regional phrases will enable me to better understand the nuances of human
language.
* **Cultural references**: Discussing books, movies, music, or other
cultural touchstones will enrich my knowledge of shared experiences and
common ground.

Feel free to share your expertise, hobbies, or interests with me! The
more we chat, the more I'll learn from you, and the better equipped I'll
become to engage in meaningful conversations.

Let's see the model type with this command:

/show info
  Model
    architecture        llama
    parameters          3.2B
    context length      131072
    embedding length    3072
    quantization        Q4_K_M

  Capabilities
    completion
    tools

  Parameters
    stop    "<|start_header_id|>"
    stop    "<|end_header_id|>"
    stop    "<|eot_id|>"

  System
    === KNOWLEDGE DATA ===
    [FILE: 001.txt]
    ...

  License
    LLAMA 3.2 COMMUNITY LICENSE AGREEMENT
    Llama 3.2 Version Release Date: September 25, 2024
    ...

Let's see the result:

Python Qt : Simple script to install the G'MIC archive to the Krita folder.

Today, this simple script will install the G'MIC archive to the Krita folder:

import sys
import os
import zipfile
import shutil
import subprocess
from PyQt6.QtWidgets import (
    QApplication, QWidget, QPushButton, QFileDialog,
    QVBoxLayout, QLabel, QMessageBox
)

class GMICInstaller(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("GMIC Installer for Krita")

        self.gmic_zip = ""
        self.krita_folder = ""

        layout = QVBoxLayout()

        self.label_zip = QLabel("GMIC archive: Not selected")
        self.label_krita = QLabel("Krita folder: Not selected")

        btn_zip = QPushButton("Select GMIC Archive (.zip)")
        btn_zip.clicked.connect(self.select_gmic_zip)

        btn_krita = QPushButton("Select Krita Folder")
        btn_krita.clicked.connect(self.select_krita_folder)

        btn_install = QPushButton("Install on Krita")
        btn_install.clicked.connect(self.install_gmic)

        layout.addWidget(self.label_zip)
        layout.addWidget(btn_zip)
        layout.addWidget(self.label_krita)
        layout.addWidget(btn_krita)
        layout.addWidget(btn_install)

        self.setLayout(layout)

    def select_gmic_zip(self):
        file, _ = QFileDialog.getOpenFileName(self, "Select GMIC ZIP", "", "ZIP Files (*.zip)")
        if file:
            self.gmic_zip = file
            self.label_zip.setText(f"GMIC archive: {file}")

    def select_krita_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "Select Krita Folder")
        if folder:
            self.krita_folder = folder
            self.label_krita.setText(f"Krita folder: {folder}")

    def install_gmic(self):
        if not self.gmic_zip or not self.krita_folder:
            QMessageBox.warning(self, "Error", "Select both GMIC archive and Krita folder first.")
            return

        # Step 1: Extract GMIC ZIP
        extract_path = os.path.join(os.getcwd(), "gmic_extracted")
        if os.path.exists(extract_path):
            shutil.rmtree(extract_path)
        os.makedirs(extract_path)

        with zipfile.ZipFile(self.gmic_zip, 'r') as zip_ref:
            zip_ref.extractall(extract_path)

        # Step 2: Find GMIC folder inside extracted content
        gmic_folder = None
        for root, dirs, files in os.walk(extract_path):
            if "gmic_krita_qt.dll" in files or "gmic_qt.exe" in files:
                gmic_folder = root
                break

        if not gmic_folder:
            QMessageBox.critical(self, "Error", "GMIC plugin files not found in archive.")
            return

        # Step 3: Find Krita plugin folders
        possible_paths = [
            os.path.join(self.krita_folder, "share", "krita", "pykrita"),
            os.path.join(self.krita_folder, "lib", "krita", "plugins"),
            os.path.join(os.getenv("APPDATA"), "krita", "pykrita")
        ]

        installed = False

        for path in possible_paths:
            if os.path.exists(path):
                try:
                    shutil.copytree(gmic_folder, os.path.join(path, "gmic_qt"), dirs_exist_ok=True)
                    installed = True
                except Exception as e:
                    print("Copy error:", e)

        if not installed:
            QMessageBox.critical(self, "Error", "Could not find a valid Krita plugin folder.")
            return

        # Step 4: Launch Krita
        krita_bin = os.path.join(self.krita_folder, "bin", "krita.exe")
        if os.path.exists(krita_bin):
            subprocess.Popen([krita_bin])
        else:
            QMessageBox.warning(self, "Warning", "GMIC installed, but Krita executable not found.")

        QMessageBox.information(self, "Success", "GMIC successfully installed into Krita!")

if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = GMICInstaller()
    window.show()
    sys.exit(app.exec())

Python 3.10.11 : MiniMax-M2.7 tested with python.

Today, I tested MiniMax-M2.7 with api key from nvidia and openai python package.

The script is one default example:

python -m pip install openai
Collecting openai
  Downloading openai-2.38.0-py3-none-any.whl.metadata (31 kB)
...
Successfully installed distro-1.9.0 jiter-0.15.0 openai-2.38.0

from openai import OpenAI

client = OpenAI(
  base_url = "https://integrate.api.nvidia.com/v1",
  api_key = "nvapi-nvidia"
)

completion = client.chat.completions.create(
  model="minimaxai/minimax-m2.7",
  messages=[{"role":"user","content":""}],
  temperature=1,
  top_p=0.95,
  max_tokens=8192,
  stream=False
)

print(completion.choices[0].message.content)

This will show only:

python minimax_27_001.py
Hello! How can I help you today?

I tested with this python script and works well:

import sys
from PyQt6.QtWidgets import (QApplication, QMainWindow, QWidget, QVBoxLayout, 
                             QHBoxLayout, QTextEdit, QLineEdit, QPushButton, QLabel)
from PyQt6.QtCore import QThread, pyqtSignal, Qt
from PyQt6.QtGui import QFont
from openai import OpenAI

# --- WORKER THREAD API ---
# Previne blocarea interfeței grafice în timpul apelului de rețea
class ApiWorker(QThread):
    response_received = pyqtSignal(str)
    error_occurred = pyqtSignal(str)

    def __init__(self, user_message):
        super().__init__()
        self.user_message = user_message

    def run(self):
        try:
            # Inițializare client OpenAI cu endpoint-ul Nvidia specificat de tine
            client = OpenAI(
                base_url="https://integrate.api.nvidia.com/v1",
                api_key="nvapi-KEY"  # nvidia api key
            )

            completion = client.chat.completions.create(
                model="minimaxai/minimax-m2.7",
                messages=[{"role": "user", "content": self.user_message}],
                temperature=1,
                top_p=0.95,
                max_tokens=8192,
                stream=False
            )
            
            # Trimite răspunsul înapoi către fereastra principală
            answer = completion.choices[0].message.content
            self.response_received.emit(answer)
            
        except Exception as e:
            self.error_occurred.emit(str(e))

class MiniMaxChatApp(QMainWindow):
    def __init__(self):
        super().__init__()
        self.init_ui()

    def init_ui(self):
        self.setWindowTitle("MiniMax M2.7 - Interactive Chat")
        self.resize(600, 700)

        # Widget-ul central și layout-ul principal
        central_widget = QWidget()
        self.setCentralWidget(central_widget)
        main_layout = QVBoxLayout(central_widget)

        # 1. Zona de afișare a istoricului chat-ului
        self.chat_display = QTextEdit()
        self.chat_display.setReadOnly(True)
        self.chat_display.setFont(QFont("Segoe UI", 11))
        self.chat_display.setPlaceholderText("Conversația va apărea aici...")
        main_layout.addWidget(self.chat_display)

        # 2. Zona de introducere text și butonul (aranjate pe orizontală)
        input_layout = QHBoxLayout()
        
        self.input_field = QLineEdit()
        self.input_field.setFont(QFont("Segoe UI", 11))
        self.input_field.setPlaceholderText("Scrie un mesaj sau o comandă de Windows...")
        # Trimite mesajul când apeși tasta Enter
        self.input_field.returnPressed.connect(self.send_message) 
        input_layout.addWidget(self.input_field)

        self.send_button = QPushButton("Trimite")
        self.send_button.setFont(QFont("Segoe UI", 11, QFont.Weight.Bold))
        self.send_button.clicked.connect(self.send_message)
        input_layout.addWidget(self.send_button)

        main_layout.addLayout(input_layout)

        # 3. Indicator de status (jos de tot)
        self.status_label = QLabel("Pregătit")
        self.status_label.setStyleSheet("color: gray;")
        main_layout.addWidget(self.status_label)

    def send_message(self):
        user_text = self.input_field.text().strip()
        
        if not user_text:
            return  # Nu trimite dacă e gol

        # Adaugă mesajul utilizatorului în istoric și curăță câmpul de input
        self.chat_display.append(f"Tu: {user_text}\n")
        self.input_field.clear()

        # Dezactivează butoanele în timp ce AI-ul se gândește
        self.input_field.setEnabled(False)
        self.send_button.setEnabled(False)
        self.status_label.setText("MiniMax M2.7 gândește...")

        # Pornirea Thread-ului separat pentru apelul API
        self.worker = ApiWorker(user_text)
        self.worker.response_received.connect(self.handle_response)
        self.worker.error_occurred.connect(self.handle_error)
        self.worker.finished.connect(self.cleanup_worker)
        self.worker.start()

    def handle_response(self, ai_response):
        # Afișează răspunsul primit de la MiniMax
        self.chat_display.append(f"MiniMax M2.7: {ai_response}\n")
        self.chat_display.append("-" * 40 + "\n")
        self.status_label.setText("Răspuns primit.")

    def handle_error(self, error_msg):
        # Afișează eroarea în caz că pică netul sau cheia API e greșită
        self.chat_display.append(f"Eroare: {error_msg}\n")
        self.status_label.setText("A apărut o eroare.")

    def cleanup_worker(self):
        # Reatonează butoanele după ce procesul s-a încheiat
        self.input_field.setEnabled(True)
        self.send_button.setEnabled(True)
        self.input_field.setFocus()

if __name__ == "__main__":
    app = QApplication(sys.argv)
    chat_window = MiniMaxChatApp()
    chat_window.show()
    sys.exit(app.exec())

This is the result:

Python Qt : Testing new google_news_api released May 22, 2026.

Today, this script will help you too search and find results with google_news_api python package, released: May 22, 2026 by Paolo Mazza. Use your keywords, or make drag and drop ... See the official website - pypi.org.

import sys
import asyncio
import webbrowser
from functools import partial

from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QHBoxLayout, QListWidget,
    QListWidgetItem, QPushButton, QTextEdit, QLineEdit, QLabel,
    QProgressBar, QFileDialog, QDialog
)
from PyQt6.QtCore import Qt, QThread, pyqtSignal

from google_news_api import AsyncGoogleNewsClient


# ---------------------------------------------------------
# Worker Thread for Async Google News
# ---------------------------------------------------------
class NewsWorker(QThread):
    progress = pyqtSignal(int)
    finished = pyqtSignal(list)

    def __init__(self, queries):
        super().__init__()
        self.queries = queries

    async def fetch_news(self):
        results = []
        async with AsyncGoogleNewsClient(language="en", country="US") as client:
            batch = await client.batch_search(
                queries=self.queries,
                when="7d",
                max_results=10
            )

            for idx, (topic, articles) in enumerate(batch.items()):
                for article in articles:
                    url = await client.decode_url(article["link"])
                    results.append({
                        "title": article["title"],
                        "source": article["source"],
                        "url": url
                    })

                self.progress.emit(int((idx + 1) / len(batch) * 100))

        return results

    def run(self):
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(loop)
        results = loop.run_until_complete(self.fetch_news())
        self.finished.emit(results)


# ---------------------------------------------------------
# HTML Results Dialog
# ---------------------------------------------------------
class ResultsDialog(QDialog):
    def __init__(self, results):
        super().__init__()
        self.setWindowTitle("Search Results")

        layout = QVBoxLayout(self)

        self.text = QTextEdit()
        self.text.setReadOnly(True)
        layout.addWidget(self.text)

        html = "<h2>Search Results</h2>"
        for r in results:
            html += f"""
            <p>
                <b>{r['title']}</b><br>
                <i>{r['source']}</i><br>
                <a href="{r['url']}">{r['url']}</a>
            </p>
            """

        self.text.setHtml(html)

        save_btn = QPushButton("Save Results")
        save_btn.clicked.connect(lambda: self.save_results(html))
        layout.addWidget(save_btn)

    def save_results(self, html):
        file, _ = QFileDialog.getSaveFileName(self, "Save HTML", "", "HTML Files (*.html)")
        if not file:
            return
        with open(file, "w", encoding="utf-8") as f:
            f.write(html)


# ---------------------------------------------------------
# Main GUI
# ---------------------------------------------------------
class NewsGUI(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Google News Search Tool")
        self.resize(900, 600)

        main = QHBoxLayout(self)

        # ---------------- LEFT: predefined keywords ----------------
        left_layout = QVBoxLayout()
        left_layout.addWidget(QLabel("Predefined Keywords"))

        self.left_list = QListWidget()
        self.left_list.setDragEnabled(True)
        self.left_list.setSelectionMode(QListWidget.SelectionMode.SingleSelection)

        predefined = [
            "inteligență artificială", "python", "godot engine", "shaders",
            "2D", "3D", "C#", "programming", "catafest",
            "Catalin George Festila", "Fălticeni", "Suceava",
            "investiții", "2026"
        ]

        for word in predefined:
            self.left_list.addItem(word)

        left_layout.addWidget(self.left_list)

        # Add custom keyword
        self.add_keyword_input = QLineEdit()
        self.add_keyword_input.setPlaceholderText("Add new keyword...")
        left_layout.addWidget(self.add_keyword_input)

        add_btn = QPushButton("Add Keyword")
        add_btn.clicked.connect(self.add_keyword)
        left_layout.addWidget(add_btn)

        main.addLayout(left_layout)

        # ---------------- RIGHT: search keywords ----------------
        right_layout = QVBoxLayout()
        right_layout.addWidget(QLabel("Search Keywords (drag from left)"))

        self.right_list = QListWidget()
        self.right_list.setAcceptDrops(True)
        self.right_list.setDragEnabled(True)
        self.right_list.setDefaultDropAction(Qt.DropAction.MoveAction)
        right_layout.addWidget(self.right_list)

        # Custom search input
        self.custom_query = QLineEdit()
        self.custom_query.setPlaceholderText("Custom search query...")
        right_layout.addWidget(self.custom_query)

        # Progress bar
        self.progress = QProgressBar()
        right_layout.addWidget(self.progress)

        # Search button
        search_btn = QPushButton("Process Search")
        search_btn.clicked.connect(self.start_search)
        right_layout.addWidget(search_btn)

        main.addLayout(right_layout)

    # ---------------------------------------------------------
    # Add keyword
    # ---------------------------------------------------------
    def add_keyword(self):
        text = self.add_keyword_input.text().strip()
        if text:
            self.left_list.addItem(text)
            self.add_keyword_input.clear()

    # ---------------------------------------------------------
    # Start search
    # ---------------------------------------------------------
    def start_search(self):
        queries = []

        # from right canvas
        for i in range(self.right_list.count()):
            queries.append(self.right_list.item(i).text())

        # custom query
        if self.custom_query.text().strip():
            queries.append(self.custom_query.text().strip())

        if not queries:
            QMessageBox.warning(self, "Warning", "No search keywords selected.")
            return

        self.worker = NewsWorker(queries)
        self.worker.progress.connect(self.progress.setValue)
        self.worker.finished.connect(self.show_results)
        self.worker.start()

    # ---------------------------------------------------------
    # Show results dialog
    # ---------------------------------------------------------
    def show_results(self, results):
        dlg = ResultsDialog(results)
        dlg.exec()


# ---------------------------------------------------------
# MAIN
# ---------------------------------------------------------
if __name__ == "__main__":
    app = QApplication(sys.argv)
    gui = NewsGUI()
    gui.show()
    sys.exit(app.exec())

This is the result:

Python Qt : testing the SUA library using the pytrends and plotly.

People’s interactions can serve as a foundation for certain studies; here is a simple way to process data at low cost using Google Trends and lightweight Python packages such as SUA.

The script retrieves Google Trends search‑interest data for several Romanian economic keywords (such as munca, recesiune, somaj, inflatie, dobanzi) and I used copilot and gemini artificial intelligence. The copilot comes with bad result for fast asking simple scripts. It analyzes the data using the SUA library to estimate simple metrics like interest growth and volatility, then displays the results in a PyQt6 interactive chart where the X‑axis shows real calendar dates and the Y‑axis shows the Google Trends 0–100 normalized interest scale.

However, the script is limited by Google Trends constraints:

Google Trends allows maximum 5 keywords per request, so the script cannot query more terms at once.

Google Trends treats diacritic and non‑diacritic words as different searches (e.g., șomaj ≠ somaj), so the script uses non‑diacritic versions to avoid errors and improve compatibility.

Google Trends returns normalized values (0–100), not real search counts, meaning the data shows relative interest, not absolute volume.

The time series resolution is fixed by Google (weekly data for 12 months), so the X‑axis length depends on how many points Google provides.

These limitations come from Google Trends itself, not from the script.

python -m pip install sua
Collecting sua
...
Successfully installed MarkupSafe-3.0.3 altair-6.1.0 asttokens-3.0.1 attrs-26.1.0 beautifulsoup4-4.14.3 blinker-1.9.0 
cachetools-7.1.4 cffi-2.0.0 clarabel-0.11.1 click-8.4.1 cloudpickle-3.1.2 cmdstanpy-1.3.0 colorama-0.4.6 contourpy-1.3.2 
curl_cffi-0.15.0 cvxpy-1.7.5 cycler-0.12.1 darts-0.44.1 datetime-6.0 decorator-5.3.1 empyrical-0.5.5 executing-2.2.1 
fonttools-4.63.0 fpdf-1.7.2 gitdb-4.0.12 gitpython-3.1.50 holidays-0.97 httptools-0.7.1 importlib_resources-7.1.0 
ipython-8.39.0 itsdangerous-2.2.0 jedi-0.20.0 jinja2-3.1.6 joblib-1.5.3 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 
kiwisolver-1.5.0 llvmlite-0.47.0 lxml-6.1.1 markdown-it-py-4.2.0 matplotlib-3.10.9 matplotlib-inline-0.2.2 mdurl-0.1.2 
multitasking-0.0.13 narwhals-2.21.2 nfoursid-1.0.2 numba-0.65.1 numpy-2.2.6 osqp-1.1.1 pandas-2.3.3 pandas-datareader-0.10.0 
parso-0.8.7 patsy-1.0.2 peewee-4.0.6 pillow-12.2.0 platformdirs-4.9.6 prompt_toolkit-3.0.52 prophet-1.3.0 protobuf-7.35.0 
pure-eval-0.2.3 pyarrow-24.0.0 pycparser-3.0 pydeck-0.9.2 pygments-2.20.0 pyod-3.5.2 pyparsing-3.3.2 pyportfolioopt-1.6.0 
python-dateutil-2.9.0.post0 python-multipart-0.0.29 pytz-2026.2 quantstats-0.0.81 referencing-0.37.0 rich-15.0.0 rpds-py-0.30.0 
scikit-base-0.13.2 scikit-learn-1.7.2 scipy-1.15.3 scs-3.2.11 seaborn-0.13.2 shap-0.49.1 six-1.17.0 slicer-0.0.8 smmap-5.0.3 
soupsieve-2.8.3 stack_data-0.6.3 stanio-0.5.1 starlette-1.1.0 statsmodels-0.14.6 streamlit-1.57.0 sua-1.1.5.1 tabulate-0.10.0 
tenacity-9.1.4 threadpoolctl-3.6.0 toml-0.10.2 tqdm-4.67.3 traitlets-5.15.0 tzdata-2026.2 uvicorn-0.48.0 watchdog-6.0.0 
wcwidth-0.7.0 websockets-16.0 xarray-2025.6.1 yfinance-1.4.0 zope.interface-8.4

python -m pip install pytrends
Collecting pytrends
...
Installing collected packages: pytrends
Successfully installed pytrends-4.9.2

python -m pip install plotly
Collecting plotly
...
Installing collected packages: plotly
...
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed plotly-6.7.0

Now, the plotty use an little tool and this want to access my Scripts folder by environment variables.

If you got this error, then you need to limit the words, because Google returns a 400 Bad Request when your request is not valid for the internal Google Trends API.

    raise exceptions.ResponseError.from_response(response)
pytrends.exceptions.ResponseError: The request failed: Google returned a response with code 400

Let's run teh python script and output is this:

python main.py
Average interest growth (returns):
munca: 0.0072
recesiune: 0.3387
somaj: 0.0308
inflatie: 0.0660
dobanzi: 0.0157

Volatility (risk):
munca: 0.0256
recesiune: 2.9473
somaj: 0.1348
inflatie: 0.1607
dobanzi: 0.0527

The PyQt6 will create this bad result, what 1970 ?:

The issue in your script occurs because PyQt’s QDateTimeAxis expects the X‑axis timestamp to be expressed in milliseconds (since the Unix epoch), while Python’s .timestamp() function returns the value in seconds. When you send seconds instead of milliseconds, PyQt interprets a value that is 1000 times smaller, which places all chart points somewhere at the beginning of 1970 (right after January 1st, 1970).

Let's fix this issue:

from pytrends.request import TrendReq
# Din moment ce modulele de mai jos erau importate dar nefolosite în codul tău, 
# m-am asigurat că restul rulării rămâne intactă.
try:
    from sua import expected_returns, risk_models
except ImportError:
    pass

from PyQt6.QtWidgets import QApplication, QMainWindow
from PyQt6.QtCharts import QChart, QChartView, QLineSeries, QDateTimeAxis, QValueAxis
from PyQt6.QtGui import QPainter
from PyQt6.QtCore import QPointF, QDateTime, Qt
import sys

# -----------------------------
# 1. Keywords (fără diacritice)
# -----------------------------
keywords = ["munca", "recesiune", "somaj", "inflatie", "dobanzi"]

# -----------------------------
# 2. Preluare date Pytrends
# -----------------------------
pytrends = TrendReq(hl='ro-RO', tz=180)
pytrends.build_payload(keywords, timeframe='today 12-m', geo='RO')

raw = pytrends.interest_over_time()

# Convertim în structuri simple
dates = list(raw.index)  # Python datetime objects
data = {k: list(raw[k]) for k in keywords}

# -----------------------------
# 3. Calcul SUA (randament + risc)
# -----------------------------
returns = {k: [] for k in keywords}

for k in keywords:
    series = data[k]
    for i in range(1, len(series)):
        prev = series[i-1] or 1
        curr = series[i] or 1
        returns[k].append((curr - prev) / prev)

mu = {k: sum(returns[k]) / len(returns[k]) for k in keywords}

def covariance(a, b):
    mean_a = sum(a) / len(a)
    mean_b = sum(b) / len(b)
    return sum((a[i]-mean_a)*(b[i]-mean_b) for i in range(len(a))) / len(a)

S = {k: covariance(returns[k], returns[k]) for k in keywords}

print("Average interest growth (returns):")
for k, v in mu.items():
    print(f"{k}: {v:.4f}")

print("\nVolatility (risk):")
for k, v in S.items():
    print(f"{k}: {v:.4f}")

# -----------------------------
# 4. PyQt6 Chart GUI cu date reale (CORECTAT)
# -----------------------------
class Window(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Google Trends Economic Interest (RO)")

        chart = QChart()
        chart.setTitle("Interest Over Time (Google Trends Romania)")

        # Axa X = date reale
        axis_x = QDateTimeAxis()
        axis_x.setFormat("yyyy-MM-dd")
        axis_x.setTitleText("Date")
        axis_x.setTickCount(10)

        # !!! CORECȚIE 1: Să îi spunem axei care este limita minimă și maximă reală !!!
        # Conversie din primul și ultimul obiect datetime din Pytrends în QDateTime
        qt_start_date = QDateTime.fromMSecsSinceEpoch(int(dates[0].timestamp() * 1000))
        qt_end_date = QDateTime.fromMSecsSinceEpoch(int(dates[-1].timestamp() * 1000))
        axis_x.setRange(qt_start_date, qt_end_date)

        # Axa Y = valori 0–100
        axis_y = QValueAxis()
        axis_y.setRange(0, 100)
        axis_y.setTitleText("Interest (0–100)")

        chart.addAxis(axis_x, Qt.AlignmentFlag.AlignBottom)
        chart.addAxis(axis_y, Qt.AlignmentFlag.AlignLeft)

        # Adăugăm seriile
        for k in keywords:
            series = QLineSeries()
            series.setName(k)

            for i, val in enumerate(data[k]):
                # !!! CORECȚIE 2: Înmulțim cu 1000 pentru a transforma în milisecunde !!!
                timestamp_ms = int(dates[i].timestamp() * 1000)
                series.append(QPointF(float(timestamp_ms), float(val)))

            chart.addSeries(series)
            series.attachAxis(axis_x)
            series.attachAxis(axis_y)

        view = QChartView(chart)
        view.setRenderHint(QPainter.RenderHint.Antialiasing)

        self.setCentralWidget(view)

app = QApplication(sys.argv)
window = Window()
window.resize(1400, 700)
window.show()
sys.exit(app.exec())

This result is good and is fixed by Gemnini artificial intelligence, but if you want real development then you need to use more then simple issue to artificial intelligence:

python main.py
Average interest growth (returns):
munca: 0.0073
recesiune: 0.3387
somaj: 0.0308
inflatie: 0.0660
dobanzi: 0.0189

Volatility (risk):
munca: 0.0258
recesiune: 2.9473
somaj: 0.1348
inflatie: 0.1607
dobanzi: 0.0594

Python Qt : network tool with PyQt6-Charts.

Today, this python script will create a tool for network with PyQt6-Charts.

You need to install the PyQt6-Charts:

python.exe -m pip install PyQt6-Charts
Collecting PyQt6-Charts
...
Installing collected packages: PyQt6-Charts-Qt6, PyQt6-Charts
Successfully installed PyQt6-Charts-6.11.0 PyQt6-Charts-Qt6-6.11.1

Let's see the python script.

import sys
import psutil
from pathlib import Path

from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QHBoxLayout, QLabel,
    QTableWidget, QTableWidgetItem, QHeaderView
)
from PyQt6.QtCore import QTimer, Qt
from PyQt6.QtCharts import QChart, QChartView, QLineSeries, QValueAxis


def bytes_to_human(n: int) -> str:
    symbols = ('B', 'KB', 'MB', 'GB', 'TB')
    prefix = {}
    for i, s in enumerate(symbols[1:], 1):
        prefix[s] = 1 << (i * 10)
    for s in reversed(symbols[1:]):
        if n >= prefix[s]:
            value = float(n) / prefix[s]
            return f"{value:.2f} {s}"
    return f"{n} B"


class NetworkMonitor(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Network Monitor – PyQt6 (Traffic + Ports)")
        self.resize(1000, 650)

        main_layout = QVBoxLayout(self)

        # ---------------- TOP LABELS ----------------
        self.label_up = QLabel("Upload: 0 B/s")
        self.label_down = QLabel("Download: 0 B/s")

        top_layout = QHBoxLayout()
        top_layout.addWidget(self.label_up)
        top_layout.addWidget(self.label_down)
        main_layout.addLayout(top_layout)

        # ---------------- CHART ----------------
        self.series_up = QLineSeries()
        self.series_down = QLineSeries()
        self.series_up.setName("Upload")
        self.series_down.setName("Download")

        self.chart = QChart()
        self.chart.addSeries(self.series_up)
        self.chart.addSeries(self.series_down)
        self.chart.setTitle("Network traffic (bytes/sec)")

        # Axes (Qt6 style)
        self.axis_x = QValueAxis()
        self.axis_y = QValueAxis()

        self.axis_x.setRange(0, 60)
        self.axis_y.setRange(0, 1024 * 1024)  # 1 MB/s default
        self.axis_x.setTitleText("Time (s)")
        self.axis_y.setTitleText("Bytes / second")

        self.chart.addAxis(self.axis_x, Qt.AlignmentFlag.AlignBottom)
        self.chart.addAxis(self.axis_y, Qt.AlignmentFlag.AlignLeft)

        self.series_up.attachAxis(self.axis_x)
        self.series_up.attachAxis(self.axis_y)
        self.series_down.attachAxis(self.axis_x)
        self.series_down.attachAxis(self.axis_y)

        self.chart_view = QChartView(self.chart)
        main_layout.addWidget(self.chart_view)

        # ---------------- PORTS TABLE ----------------
        self.table = QTableWidget(0, 5)
        self.table.setHorizontalHeaderLabels(
            ["Local IP:Port", "Remote IP:Port", "Status", "PID", "Process"]
        )
        self.table.horizontalHeader().setSectionResizeMode(QHeaderView.ResizeMode.Stretch)

        # 🔥 Sortare activată
        self.table.setSortingEnabled(True)

        main_layout.addWidget(self.table)

        # ---------------- STATE ----------------
        self.old_stats = psutil.net_io_counters()
        self.x_pos = 0

        # ---------------- TIMER ----------------
        self.timer = QTimer(self)
        self.timer.timeout.connect(self.update_stats)
        self.timer.start(1000)  # 1s

    # ---------------------------------------------------------
    def update_stats(self):
        # --- traffic ---
        new_stats = psutil.net_io_counters()
        sent = new_stats.bytes_sent - self.old_stats.bytes_sent
        recv = new_stats.bytes_recv - self.old_stats.bytes_recv
        self.old_stats = new_stats

        self.label_up.setText(f"Upload: {bytes_to_human(sent)}/s")
        self.label_down.setText(f"Download: {bytes_to_human(recv)}/s")

        # --- chart data ---
        self.series_up.append(self.x_pos, sent)
        self.series_down.append(self.x_pos, recv)
        self.x_pos += 1

        # keep last 60 seconds visible
        if self.x_pos > 60:
            self.axis_x.setRange(self.x_pos - 60, self.x_pos)

        # auto-scale Y a bit
        max_val = max(sent, recv, 1)
        current_max = self.axis_y.max()
        if max_val > current_max * 0.9:
            self.axis_y.setRange(0, max_val * 1.5)

        # --- ports ---
        self.update_ports()

    # ---------------------------------------------------------
    def update_ports(self):
        conns = psutil.net_connections(kind="tcp")

        self.table.setSortingEnabled(False)  # prevenim flicker
        self.table.setRowCount(0)

        for c in conns:
            if not c.laddr:
                continue

            row = self.table.rowCount()
            self.table.insertRow(row)

            # Local
            local = f"{c.laddr.ip}:{c.laddr.port}"
            item_local = QTableWidgetItem(local)
            item_local.setData(Qt.ItemDataRole.UserRole, c.laddr.port)

            # Remote
            if c.raddr:
                remote = f"{c.raddr.ip}:{c.raddr.port}"
                remote_port = c.raddr.port
            else:
                remote = "-"
                remote_port = -1

            item_remote = QTableWidgetItem(remote)
            item_remote.setData(Qt.ItemDataRole.UserRole, remote_port)

            # Status
            item_status = QTableWidgetItem(c.status)

            # PID
            pid = c.pid if c.pid else -1
            item_pid = QTableWidgetItem(str(pid))
            item_pid.setData(Qt.ItemDataRole.UserRole, pid)

            # Process name
            proc_name = "-"
            if c.pid:
                try:
                    proc_name = psutil.Process(c.pid).name()
                except:
                    proc_name = "?"

            item_proc = QTableWidgetItem(proc_name)

            self.table.setItem(row, 0, item_local)
            self.table.setItem(row, 1, item_remote)
            self.table.setItem(row, 2, item_status)
            self.table.setItem(row, 3, item_pid)
            self.table.setItem(row, 4, item_proc)

        self.table.setSortingEnabled(True)  # reactivăm sortarea


if __name__ == "__main__":
    app = QApplication(sys.argv)
    w = NetworkMonitor()
    w.show()
    sys.exit(app.exec())

Python Qt : simple tiktok downloader.

Today, simple example with PyQt6 and yt_dlp.

Get the link from tiktok browser and use it to download the video for your storage.

I used the Copilot tool. It seems to know the Romanian language. For a developer, comments and source code are not an impediment, because it is very simplistic.

Let's see the source code:

import sys
import os
import yt_dlp
from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QHBoxLayout, QPushButton,
    QLineEdit, QLabel, QFileDialog, QListWidget, QListWidgetItem,
    QProgressBar, QMessageBox
)
from PyQt6.QtCore import Qt

class TikTokDownloader(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("TikTok Downloader (yt-dlp)")
        self.setMinimumWidth(600)

        self.url_input = QLineEdit()
        self.url_input.setPlaceholderText("Introdu URL TikTok...")

        self.folder_input = QLineEdit()
        self.folder_input.setPlaceholderText("Folder download...")

        browse_btn = QPushButton("Selectează folder")
        browse_btn.clicked.connect(self.select_folder)

        fetch_btn = QPushButton("Caută stream-uri")
        fetch_btn.clicked.connect(self.fetch_streams)

        self.stream_list = QListWidget()

        download_btn = QPushButton("Descarcă")
        download_btn.clicked.connect(self.download_selected)

        self.progress = QProgressBar()
        self.progress.setValue(0)

        layout = QVBoxLayout()
        layout.addWidget(QLabel("URL TikTok:"))
        layout.addWidget(self.url_input)

        folder_layout = QHBoxLayout()
        folder_layout.addWidget(self.folder_input)
        folder_layout.addWidget(browse_btn)
        layout.addLayout(folder_layout)

        layout.addWidget(fetch_btn)
        layout.addWidget(QLabel("Stream-uri găsite:"))
        layout.addWidget(self.stream_list)
        layout.addWidget(download_btn)
        layout.addWidget(self.progress)

        self.setLayout(layout)

        self.streams = []
        self.selected_format = None

    def select_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "Selectează folder")
        if folder:
            self.folder_input.setText(folder)

    def fetch_streams(self):
        url = self.url_input.text().strip()
        if not url:
            QMessageBox.warning(self, "Eroare", "Introdu URL TikTok")
            return

        self.stream_list.clear()
        self.streams = []

        ydl_opts = {
            "quiet": True,
            "skip_download": True,
            "forcejson": True,
        }

        try:
            with yt_dlp.YoutubeDL(ydl_opts) as ydl:
                info = ydl.extract_info(url, download=False)

            formats = info.get("formats", [])

            for f in formats:
                desc = f"{f.get('format_id')} | {f.get('ext')} | {f.get('resolution', '')} | {f.get('filesize', 'N/A')}"
                item = QListWidgetItem(desc)
                self.stream_list.addItem(item)
                self.streams.append(f)

        except Exception as e:
            QMessageBox.critical(self, "Eroare", str(e))

    def progress_hook(self, d):
        if d["status"] == "downloading":
            if d.get("total_bytes"):
                pct = int(d["downloaded_bytes"] * 100 / d["total_bytes"])
                self.progress.setValue(pct)

        if d["status"] == "finished":
            self.progress.setValue(100)

    def download_selected(self):
        folder = self.folder_input.text().strip()
        if not folder:
            QMessageBox.warning(self, "Eroare", "Selectează folderul de download")
            return

        selected = self.stream_list.currentRow()
        if selected < 0:
            QMessageBox.warning(self, "Eroare", "Selectează un stream din listă")
            return

        fmt = self.streams[selected]
        url = self.url_input.text().strip()

        ydl_opts = {
            "outtmpl": os.path.join(folder, "%(id)s.%(ext)s"),
            "format": fmt["format_id"],
            "progress_hooks": [self.progress_hook],
        }

        try:
            with yt_dlp.YoutubeDL(ydl_opts) as ydl:
                ydl.download([url])

            QMessageBox.information(self, "Succes", "Download complet!")

        except Exception as e:
            QMessageBox.critical(self, "Eroare", str(e))

if __name__ == "__main__":
    app = QApplication(sys.argv)
    win = TikTokDownloader()
    win.show()
    sys.exit(app.exec())

Python Qt : python alias manager tool.

This script allow you to add alias commands on each python install.

NOTE : If this script find some python.exe and not works, it means that this python.exe is not a full Python installation, but only a launcher or an embedded runtime that is designed to run inside a virtual environment or a complete Python directory structure.

I used artificial intelligence, tested and works well, lets see the source code:

import sys
import os
import json
import subprocess
from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QPushButton,
    QTableWidget, QTableWidgetItem, QFileDialog, QMessageBox
)
from PyQt6.QtCore import Qt

CONFIG_FILE = "python_aliases.json"
ALIAS_DIR = os.path.join(os.environ["LOCALAPPDATA"], "Microsoft", "WindowsApps")

# ------------------------------
# Persistență JSON
# ------------------------------

def load_aliases():
    if os.path.isfile(CONFIG_FILE):
        try:
            with open(CONFIG_FILE, "r") as f:
                return json.load(f)
        except:
            return []
    return []

def save_aliases(data):
    with open(CONFIG_FILE, "w") as f:
        json.dump(data, f, indent=4)


# ------------------------------
# Detectare Python
# ------------------------------

def detect_where_python():
    """Detectează instalările Python folosind 'where python'."""
    found = []
    try:
        out = subprocess.check_output(["where", "python"], stderr=subprocess.STDOUT)
        lines = out.decode().splitlines()
        for line in lines:
            if line.lower().endswith("python.exe"):
                found.append(line.strip())
    except:
        pass
    return found


def search_python_in_folder_recursive(folder):
    """Caută python.exe în folder și în toate subfolderele recursiv."""
    found = []
    for root, dirs, files in os.walk(folder):
        if "python.exe" in files:
            found.append(os.path.join(root, "python.exe"))
    return found

# ------------------------------
# Detectare aliasuri existente
# ------------------------------

def detect_existing_aliases():
    """Caută aliasuri existente (*.cmd) în WindowsApps."""
    aliases = {}
    if not os.path.isdir(ALIAS_DIR):
        return aliases

    for file in os.listdir(ALIAS_DIR):
        if file.endswith(".cmd"):
            alias_name = file[:-4]
            cmd_path = os.path.join(ALIAS_DIR, file)

            try:
                with open(cmd_path, "r") as f:
                    line = f.readline().strip()
                    if line.startswith("@\"") and line.endswith("%*"):
                        python_path = line[2:-3].strip('"')
                        aliases[alias_name] = python_path
            except:
                pass

    return aliases

# ------------------------------
# Creare alias
# ------------------------------

def create_alias(alias_name, python_path):
    """Creează un fișier .cmd în WindowsApps pentru alias."""
    cmd_path = os.path.join(ALIAS_DIR, alias_name + ".cmd")

    try:
        with open(cmd_path, "w") as f:
            f.write(f'@"{python_path}" %*\n')
        return True
    except Exception as e:
        print("Eroare alias:", e)
        return False

# ------------------------------
# Interfață PyQt6
# ------------------------------

class PythonAliasManager(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Python Alias Manager – PyQt6")
        self.resize(800, 550)

        layout = QVBoxLayout(self)

        self.table = QTableWidget(0, 2)
        self.table.setHorizontalHeaderLabels(["Path Python", "Alias (editabil)"])
        self.table.horizontalHeader().setStretchLastSection(True)
        layout.addWidget(self.table)

        btn_detect = QPushButton("Detectează instalări (where python)")
        btn_detect.clicked.connect(self.detect_where)
        layout.addWidget(btn_detect)

        btn_add_folder = QPushButton("Adaugă folder custom (recursiv)")
        btn_add_folder.clicked.connect(self.add_folder)
        layout.addWidget(btn_add_folder)

        btn_search_folder = QPushButton("Caută python.exe recursiv în folder selectat")
        btn_search_folder.clicked.connect(self.search_folder)
        layout.addWidget(btn_search_folder)

        btn_aliases = QPushButton("Afișează aliasuri existente")
        btn_aliases.clicked.connect(self.show_existing_aliases)
        layout.addWidget(btn_aliases)

        btn_apply = QPushButton("Aplică aliasuri în Windows")
        btn_apply.clicked.connect(self.apply_aliases)
        layout.addWidget(btn_apply)

        self.data = load_aliases()
        self.refresh_table()

    # --------------------------
    # Tabel
    # --------------------------

    def refresh_table(self):
        self.table.setRowCount(0)
        for entry in self.data:
            row = self.table.rowCount()
            self.table.insertRow(row)

            self.table.setItem(row, 0, QTableWidgetItem(entry["path"]))

            alias_item = QTableWidgetItem(entry["alias"])
            alias_item.setFlags(alias_item.flags() | Qt.ItemFlag.ItemIsEditable)
            self.table.setItem(row, 1, alias_item)

    # --------------------------
    # Detectare instalări
    # --------------------------

    def detect_where(self):
        paths = detect_where_python()
        for p in paths:
            self.add_entry(p)
        self.refresh_table()
        save_aliases(self.data)

    def add_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "Selectează folder Python")
        if folder:
            paths = search_python_in_folder_recursive(folder)
            for p in paths:
                self.add_entry(p)
            self.refresh_table()
            save_aliases(self.data)

    def search_folder(self):
        folder = QFileDialog.getExistingDirectory(self, "Selectează folder pentru scanare")
        if folder:
            paths = search_python_in_folder_recursive(folder)
            for p in paths:
                self.add_entry(p)
            self.refresh_table()
            save_aliases(self.data)

    # --------------------------
    # Aliasuri existente
    # --------------------------

    def show_existing_aliases(self):
        aliases = detect_existing_aliases()
        if not aliases:
            QMessageBox.information(self, "Aliasuri", "Nu există aliasuri în WindowsApps.")
            return

        msg = "\n".join([f"{a} → {p}" for a, p in aliases.items()])
        QMessageBox.information(self, "Aliasuri existente", msg)

    # --------------------------
    # Adăugare în listă
    # --------------------------

    def add_entry(self, path):
        if not any(e["path"] == path for e in self.data):
            alias = "python_" + os.path.basename(os.path.dirname(path)).replace(".", "_")
            self.data.append({"path": path, "alias": alias})

    # --------------------------
    # Aplicare aliasuri
    # --------------------------

    def apply_aliases(self):
        # actualizează aliasurile din tabel
        for row in range(self.table.rowCount()):
            self.data[row]["path"] = self.table.item(row, 0).text()
            self.data[row]["alias"] = self.table.item(row, 1).text()

        save_aliases(self.data)

        ok = 0
        for entry in self.data:
            if create_alias(entry["alias"], entry["path"]):
                ok += 1

        QMessageBox.information(
            self,
            "Aliasuri aplicate",
            f"Aliasuri create: {ok}\nAcum poți folosi comenzile în CMD/PowerShell."
        )

# ------------------------------
# Main
# ------------------------------

if __name__ == "__main__":
    app = QApplication(sys.argv)
    win = PythonAliasManager()
    win.show()
    sys.exit(app.exec())

Python Qt : sprites tool idea with ffmpeg.

This is a simple tool created in a minute with artificial intelligence to help me create sprites with a blend effect based on a map for ffmpeg. I used Python version 3.13.0, pyqt6, pygame, ...

Python Qt : manages python packages from web.

Today, I created a script that looks for updates and manages them along with the already installed packages.

The script relies on three categories of data sources, all of them public, stable, and widely used in the Python ecosystem.

• PyPI RSS Feeds (Official Python Package Index)
  • These are the official feeds published by PyPI.
  • 1. New packages feed
    • https://pypi.org/rss/packages.xml
    • This feed lists brand‑new packages uploaded to PyPI.
  • 2. Updated packages feed
    • https://pypi.org/rss/updates.xml
    • This feed lists new releases of existing packages.
  • These feeds are the most authoritative source for real‑time package activity.
• Libraries.io Atom Feeds (Per‑package version history)
  • For each installed package, the script uses:
  • https://libraries.io/pypi/{PACKAGE_NAME}/versions.atom
  • This feed provides:
    • version history
    • release timestamps
    • links to source repositories
    • metadata about each release
  • Libraries.io aggregates data from PyPI, GitHub, GitLab, Bitbucket, and more.
• Local Python Installation (importlib.metadata)
  • The script reads the list of packages installed on your system using:
  • importlib.metadata.distributions()
  • This gives:
    • installed package names
    • installed versions
    • metadata from the local environment
  • This is how the script knows whether to show Install or Update buttons.
• SQLite Local Database (packages.db)
  • The script maintains a small local database that stores:
  • • package name
    • installed version
    • last update timestamp
  • This allows the UI to:
    • remember previous states
    • show consistent information
    • track updates over time

What the Script Actually Does

• On startup
  • Reads all installed Python packages
  • Synchronizes them into a SQLite database
  • Loads the three main tabs:
    • PyPI New Packages
    • PyPI Updated Packages
    • Libraries.io Installed Packages
• In the PyPI tabs
  • For every RSS entry:
  • • Extracts the package name
    • Checks if it is installed locally
    • Shows:
      • Title
      • Publish date
      • Link to PyPI
      • Install button (if not installed)
      • Update button (if installed)
  • This turns the PyPI feed into a package manager dashboard.
• In the Libraries.io tab
  • For every installed package:
  • • Builds the Libraries.io feed URL
    • Fetches version history
    • Displays:
      • Installed version
      • Release history
      • Links to releases
      • Update button
  • This tab becomes a per‑package release monitor.
• When you click Install or Update
  • A confirmation dialog appears
  • If confirmed:
    • Runs python -m pip install PACKAGE
    • Or python -m pip install --upgrade PACKAGE
    • Runs pip in a background thread
    • Updates the SQLite database
    • Refreshes the UI
  • This makes the script a GUI package manager for Python.

See this demo real from my youtube channel:

Python Qt : particles with pygame and pyqt6.

Today, I test one python script with pygame and pyqt6. The python script use classes and show particles. See the result:

This is the source code:

import sys
import random
import pygame
from pygame import Vector2
from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QHBoxLayout,
    QSlider, QLabel, QSizePolicy
)
from PyQt6.QtCore import Qt, QTimer
from PyQt6.QtGui import QImage, QPainter

class Particle:
    def __init__(self, pos, vel, color):
        self.pos = Vector2(pos)
        self.vel = Vector2(vel)
        self.color = color
        self.life = 255

    def update(self, gravity):
        self.vel.y += gravity
        self.pos += self.vel
        self.life -= 2

    def draw(self, surf):
        if self.life > 0:
            pygame.draw.circle(
                surf,
                self.color,
                (int(self.pos.x), int(self.pos.y)),
                4
            )


class PygameWidget(QWidget):
    def __init__(self):
        super().__init__()

        pygame.init()
        pygame.display.init()

        self.w, self.h = 900, 600
        self.surface = pygame.Surface((self.w, self.h))

        self.particles = []
        self.spawn_rate = 5
        self.gravity = 0.1

        self.setSizePolicy(
            QSizePolicy.Policy.Expanding,
            QSizePolicy.Policy.Expanding
        )

        self.timer = QTimer()
        self.timer.timeout.connect(self.game_loop)
        self.timer.start(16)  # ~60 FPS

    def spawn_particles(self):
        for _ in range(self.spawn_rate):
            pos = (self.w // 2, self.h // 2)
            vel = (random.uniform(-2, 2), random.uniform(-2, 2))
            color = (255, random.randint(100, 255), 0)
            self.particles.append(Particle(pos, vel, color))

    def game_loop(self):
        self.surface.fill((20, 20, 20))

        self.spawn_particles()

        alive = []
        for p in self.particles:
            p.update(self.gravity)
            p.draw(self.surface)
            if p.life > 0:
                alive.append(p)

        self.particles = alive

        self.update()

    def paintEvent(self, event):
        data = pygame.image.tobytes(self.surface, "RGB")
        img = QImage(
            data,
            self.w,
            self.h,
            self.w * 3,
            QImage.Format.Format_RGB888
        )

        painter = QPainter(self)
        painter.drawImage(0, 0, img)
        painter.end()

    def resizeEvent(self, event):
        self.w = self.width()
        self.h = self.height()
        self.surface = pygame.Surface((self.w, self.h))

class MainWindow(QWidget):
    def __init__(self):
        super().__init__()

        self.setWindowTitle("PyQt6 + pygame Particle System")

        main_layout = QVBoxLayout()

        # widget-ul pygame – ocupă tot spațiul
        self.pg_widget = PygameWidget()
        main_layout.addWidget(self.pg_widget, stretch=1)

        # panou de controale jos
        control_panel = QVBoxLayout()

        # ----- slider spawn rate -----
        spawn_layout = QHBoxLayout()
        spawn_label = QLabel("Spawn:")
        self.spawn_value = QLabel("5")

        spawn_slider = QSlider(Qt.Orientation.Horizontal)
        spawn_slider.setRange(1, 50)
        spawn_slider.setValue(5)
        spawn_slider.valueChanged.connect(self.update_spawn_rate)

        spawn_layout.addWidget(spawn_label)
        spawn_layout.addWidget(spawn_slider)
        spawn_layout.addWidget(self.spawn_value)

        # ----- slider gravity -----
        gravity_layout = QHBoxLayout()
        gravity_label = QLabel("Gravity:")
        self.gravity_value = QLabel("0.10")

        gravity_slider = QSlider(Qt.Orientation.Horizontal)
        gravity_slider.setRange(0, 50)
        gravity_slider.setValue(10)
        gravity_slider.valueChanged.connect(self.update_gravity)

        gravity_layout.addWidget(gravity_label)
        gravity_layout.addWidget(gravity_slider)
        gravity_layout.addWidget(self.gravity_value)

        control_panel.addLayout(spawn_layout)
        control_panel.addLayout(gravity_layout)

        main_layout.addLayout(control_panel)

        self.setLayout(main_layout)

    def update_spawn_rate(self, v):
        self.pg_widget.spawn_rate = v
        self.spawn_value.setText(str(v))

    def update_gravity(self, v):
        g = v / 100.0
        self.pg_widget.gravity = g
        self.gravity_value.setText(f"{g:.2f}")

if __name__ == "__main__":
    app = QApplication(sys.argv)
    w = MainWindow()
    w.resize(1000, 800)
    w.show()
    sys.exit(app.exec())

Python Qt6 : build a mini tool for memory game with PyQt6 !

Today, I tested this python script with PyQt6 to create this matrix data for memory game by click on canvas.

I add few lines of source code and I create the memory game window to test that matrix: