Python Qt5 : Simple browser with QWebEngineView.

This is a simple example with PyQt5 and QWebEngineView.

You can see this example and use it from my GitHub account.

Python Qt5 : QtWebEngineWidgets and button.

In this tutorial I will show you how to add a simple button to the application build with QtWebEngineWidgets using the addWidget to a QVBoxLayout with a lay variable.

The button named PyQt5 nothing button is not connected.

Let's see this default example:

import sys

from PyQt5.QtCore import QUrl
from PyQt5.QtWidgets import QApplication, QPushButton, QMainWindow, QVBoxLayout, QWidget
from PyQt5.QtWebEngineWidgets import QWebEnginePage, QWebEngineSettings, QWebEngineView

class Widget(QWidget):
    def __init__(self, parent=None):
        super().__init__(parent)
        self.view = QWebEngineView()
        lay = QVBoxLayout(self)
        lay.addWidget(self.view)
        self.resize(640, 480)

class WebEnginePage(QWebEnginePage):
    def createWindow(self, _type):
        w = Widget()
        w.show()
        return w.view.page()

class MainWindow(QMainWindow):
    def __init__(self, parent=None):
        super(MainWindow, self).__init__(parent=None)

        self.setWindowTitle("PyQt5 ... another example !!")
        central_widget = QWidget()
        self.setCentralWidget(central_widget)
        
        button = QPushButton('PyQt5 nothing button', self)
        button.setToolTip('This is an example button')

        self.webview = QWebEngineView()
        self.page = WebEnginePage()
        self.webview.setPage(self.page)
        self.webview.settings().setAttribute(
            QWebEngineSettings.FullScreenSupportEnabled, True
        )

        self.webview.load(
            QUrl("https://www.youtube.com/watch?v=BVT3acNFzqc?rel=0&showinfo=0")
        )

        lay = QVBoxLayout(central_widget)
        lay.addWidget(button)
        lay.addWidget(self.webview)

def main():
    app = QApplication(sys.argv)
    window = MainWindow()
    window.show()
    app.exec_()

if __name__ == "__main__":
    main()

Python 3.6.9 : Unarchive a RAR file with UnRAR and python.

In this tutorial, I will show you how can unrar a RAR archive with and without a password.

First, go to this website and install the UnRAR.dll file.

After you install into default path: C:\Program Files (x86)\UnrarDLL you need to create and set a new environment variable named UNRAR_LIB_PATH.

You need to select the 32 or 64 paths to this environment variable, and this depends on the test archive.

Because I create a RAR archive with x64 version I used this path for the environment variable: C:\Program Files (x86)\UnrarDLL\x64\UnRAR64.dll.

The first test archive I created was named TestRAR.rar and I used a password 111 with encryption.

The second one is named TestRAR001.rar and has no password.

Let's install the unrar python module with the pip tool.

pip install unrar
Requirement already satisfied: unrar in c:\python39\lib\site-packages (0.4)

Let's see the source code in python version 3.6.9

from unrar import rarfile

print("-----------------")
#archiveRARFile = r"C:\\PythonProjects\\RARArchive\\TestRAR.rar"
archiveRARFile = r"C:\\PythonProjects\\RARArchive\\TestRAR001.rar"
extractPath = r"C:\\PythonProjects\\RARArchive"

files = []
#with rarfile.RarFile(archiveRARFile,"r","111") as rarFile:
with rarfile.RarFile(archiveRARFile,"r","") as rarFile:
    files = rarFile.namelist()
    rarFile.extractall(extractPath)

print("files ",files)

for file in files:
    pathFile = fr"{extractPath}+{file}"
    with open(file,"r") as f:
        data = f.readlines()
        for line in data:
            line = line.strip()
            print(line)

You can see I commented two rows for each archive in order to test each one:

After I tested, this is the result of each test and both work great.

C:\PythonProjects\RARArchive>python unrarFile.py
-----------------
files  ['TestRAR.txt']
This is a test for RAR archive.

C:\PythonProjects\RARArchive>python unrarFile.py
-----------------
files  ['TestRAR.txt']
This is a test for RAR archive.

Python Qt5 : QtWebEngineWidgets and YouTube Video.

In this tutorial I will show you how to play a video from Youtube using PyQt5 and this standard URL type:

http://www.youtube.com/watch_popup?v=VIDEOID

I used this version of python, version 3.9.6.

python
Python 3.9.6 (tags/v3.9.6:db3ff76, Jun 28 2021, 15:26:21) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
...

The source code is simple:

import time

import sys

from PyQt5.QtCore import QUrl
from PyQt5.QtWebEngineWidgets import QWebEngineView, QWebEngineProfile
from PyQt5.QtWebEngineWidgets import QWebEnginePage, QWebEngineSettings
from PyQt5.QtWidgets import QApplication

if __name__ == '__main__':


    app = QApplication(sys.argv)

    webview = QWebEngineView()
    profile = QWebEngineProfile("my_profile", webview)
    profile.defaultProfile().setPersistentCookiesPolicy(QWebEngineProfile.ForcePersistentCookies)
    webpage = QWebEnginePage(profile, webview)
    webpage.settings().setAttribute(QWebEngineSettings.PlaybackRequiresUserGesture, False)

    webview.setPage(webpage)
    webview.load(QUrl("http://www.youtube.com/watch_popup?v=aw4ZDQsFxv0"))
    webview.show()

    sys.exit(app.exec_())

The song is: SO EMOTIONAL- Olivia Rodrigo - Traitor | Allie Sherlock cover, see it on youtube.

Python 3.7.11 : My colab tutorials - part 021.

This is a simple notebook tutorial about how can test and get info from GPU on colab online tool.

This tutorial can be found on my GitHub account.

Python 3.7.11 : My colab tutorials - part 020.

The tutorial I created is a test and use of the Selenium WebDriver python package for to automate web browser interaction from Python.

This tutorial can be found on my GitHub account.

Python Qt5 : Drag and drop examples - part 001.

This tutorial si about drag and drop with PyQt5 and Python 3.9.6.

The drag and drop feature is very intuitive for the user.

The widgets should respond to the drag and drop events in order to store the data dragged into them. 

• DragEnterEvent provides an event which is sent to the target widget as dragging action enters it.
• DragMoveEvent is used when the drag and drop action is in progress.
• DragLeaveEvent is generated as the drag and drop action leaves the widget.
• DropEvent, on the other hand, occurs when the drop is completed. The event’s proposed action can be accepted or rejected conditionally.

Let's see two example, first is a drag and drop for one button:

#!/usr/bin/python
import sys
from PyQt5.QtCore import Qt, QMimeData
from PyQt5.QtGui import QDrag
from PyQt5.QtWidgets import QPushButton, QWidget, QApplication

class Button(QPushButton):

    def __init__(self, title, parent):
        super().__init__(title, parent)

    def mouseMoveEvent(self, e):

        if e.buttons() != Qt.RightButton:
            return

        mimeData = QMimeData()

        drag = QDrag(self)
        drag.setMimeData(mimeData)
        drag.setHotSpot(e.pos() - self.rect().topLeft())
        dropAction = drag.exec_(Qt.MoveAction)

    def mousePressEvent(self, e):
        super().mousePressEvent(e)
        if e.button() == Qt.LeftButton:
            print('press')


class Example(QWidget):

    def __init__(self):
        super().__init__()

        self.initUI()

    def initUI(self):

        self.setAcceptDrops(True)

        self.button = Button('Button', self)
        self.button.move(100, 65)

        self.setWindowTitle('Drag and drop with mouse - right click to move Button!')
        self.setGeometry(300, 300, 550, 450)

    def dragEnterEvent(self, e):
        e.accept()

    def dropEvent(self, e):
        position = e.pos()
        self.button.move(position)

        e.setDropAction(Qt.MoveAction)
        e.accept()

def main():
    
    app = QApplication(sys.argv)
    ex = Example()
    ex.show()
    app.exec_()

if __name__ == '__main__':
    main()

... this source code is for a drag and drop for a image file:

import sys, os
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPixmap


class ImageLabel(QLabel):
    def __init__(self):
        super().__init__()

        self.setAlignment(Qt.AlignCenter)
        self.setText('\n\n Drop Image Here \n\n')
        self.setStyleSheet('''
            QLabel{
                border: 3px dashed #bbb
            }
        ''')

    def setPixmap(self, image):
        super().setPixmap(image)

class AppDemo(QWidget):
    def __init__(self):
        super().__init__()
        
        self.setWindowTitle('Drag and drop one image to this window!')
        self.setGeometry(300, 300, 550, 450)

        self.setAcceptDrops(True)

        mainLayout = QVBoxLayout()

        self.photoViewer = ImageLabel()
        mainLayout.addWidget(self.photoViewer)

        self.setLayout(mainLayout)

    def dragEnterEvent(self, event):
        if event.mimeData().hasImage:
            event.accept()
        else:
            event.ignore()

    def dragMoveEvent(self, event):
        if event.mimeData().hasImage:
            event.accept()
        else:
            event.ignore()

    def dropEvent(self, event):
        if event.mimeData().hasImage:
            event.setDropAction(Qt.CopyAction)
            file_path = event.mimeData().urls()[0].toLocalFile()
            self.set_image(file_path)

            event.accept()
        else:
            event.ignore()

    def set_image(self, file_path):
        self.photoViewer.setPixmap(QPixmap(file_path))

app = QApplication(sys.argv)
demo = AppDemo()
demo.show()
sys.exit(app.exec_())

Python 3.7.11 : My colab tutorials - part 019.

The tutorial I created is a test and use Probabilistic Graphical Models for the most basic problem the coin problem with the pgmpy python module.

This tutorial can be found on my GitHub account.

News : The new python version 3.10.0.

Almost six days ago, the new version of python was released, version 3.10.0, see this.

Its installation on windows operating systems is done in the same way as the old installations, with the same steps and the same settings.

After installation, I turned it on and tested some of the new features.

C:\Python310>python
Python 3.10.0 (tags/v3.10.0:b494f59, Oct  4 2021, 19:00:18) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

Python 3.10 comes with precise and constructive error messages like:

...
SyntaxError: '{' was never closed
...
>>> foo(a, b for b in range(5), c)
...
    foo(a, b for b in range(5), c)
           ^^^^^^^^^^^^^^^^^^^
SyntaxError: Generator expression must be parenthesized
...
>>> {a, b for (a, b) in zip("a", "b")}
...
    {a, b for (a, b) in zip("a", "b")}
     ^^^^
SyntaxError: did you forget parentheses around the comprehension target?
...
SyntaxError: expected ':'
...
SyntaxError: invalid syntax. Perhaps you forgot a comma?
...
SyntaxError: ':' expected after dictionary key
...
SyntaxError: expected 'except' or 'finally' block
...
SyntaxError: cannot assign to attribute here. Maybe you meant '==' instead of '='?
...
IndentationError: expected an indented block after 'if' statement in line ...
...
>>> import collections
>>> collections.namedtoplo
...
AttributeError: module 'collections' has no attribute 'namedtoplo'. Did you mean: 'namedtuple'?
...
>>> a = 0
>>> aa
...
NameError: name 'aa' is not defined. Did you mean: 'a'?

PEP 634: Structural Pattern Matching Structural 

... the pattern matching is a comprehensive addition to the Python language. 

They tell us: Pattern matching enables programs to extract information from complex data types, branch on the structure of data, and apply specific actions based on different forms of data.

PEP 604: New Type Union Operator as X|Y 

PEP 613: Explicit Type Aliases 

PEP 647: User-Defined Type Guards 

PEP 612: Parameter Specification Variables

You can see more on the official webpage.

Python Qt5 : The QSvgWidget for the SVG image format.

In this example tutorial, I will show you how can show an SVG image format with the PyQt5 and QSvgWidget.

I used Fedora 35 Beta with python pyqt5 package install with pip tool.

$ pip install pyqt5

The source code in the Python programming language is this:

The result image is this:

The Hitchhiker’s Guide to Python.

Greetings, Earthling! Welcome to The Hitchhiker’s Guide to Python.

This project comes with this license, is free, and help you to learn Python:

Creative Commons Legal Code

Attribution-NonCommercial-ShareAlike 3.0 Unported ...

This guide is currently under heavy development. This opinionated guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis.

You can contribute to this project on the GitHub project.

Python 3.7.11 : My colab tutorials - part 018.

In this colab tutorial, you can see how to use the webcam with python and javascript.

This colab notebook can be found on my colab project on the GitHub webpage.

• catafest_001.ipynb - first step, import TensorFlow;
• catafest_002.ipynb - testing the GPU , Linux commands and python modules torch and fastai;
• catafest_003.ipynb - testing the Altair;
• catafest_004.ipynb - testing the cirq python package for quantum computing;
• catafest_005.ipynb - using the estimator on tensoflow 2.0;
• python_imdb_001.ipynb - using the colab with python module imdbpy;
• catafest_006.ipynb - google authentification and google.colab drive and files
• catafest_007.ipynb - test with https://github.com/harrism/numba_examples/blob/master/mandelbrot_numba.ipynb
• catafest_008.ipynb - few simple examples with selenium and chromium-chromedriver;
• catafest_009.ipynb - show you how to use %% colab features;
• catafest_010.ipynb - example with Detectron2 is Facebook AI Research's with state-of-the-art object detection algorithms;
• catafest_011.ipynb - test a sound classification with YAMNet from a web example - not very happy with the result;
• catafest_012.ipynb - a simple tutorial about Colab tool and HTML and JavaScript with examples;
• catafest_013.ipynb - a simple tutorial with settings for TPU and IMDB dataset;
• catafest_014.ipynb - get IMDB review dataset and show it;
• catafest_015.ipynb - how to get, show and use it data and create a new train data set from IMDB dataset;
• catafest_016.ipynb - show the shape of the Fashion-MNIST dataset;
• catafest_017.ipynb - this example show you how to write another python script in colab and run it;
• catafest_018.ipynb - PIFuHD demo;
• catafest_019.ipynb - get title from tiles.virtualearth.net;
• catafest_020.ipynb - get video from youtube with pytube, converting to audio, show signal wave, energy and frequency;
• catafest_021.ipynb - BERT is a transformers model with example and sentiment-analysis;
• catafest_022.ipynb - webcam on colab with python and javascript;

Python 3.7.11 : My colab tutorials - part 017.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, see this https://arxiv.org/abs/1810.04805.

I used transformers, see this video: https://www.youtube.com/watch?v=SZorAJ4I-sA and this: https://arxiv.org/pdf/2003.08271.pdf.

See this colab notebook with examples at my GitHub account.