Python 3.13.0rc1 : using gTTS version 2.5.4 python package.

gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API

... from the gtts.readthedocs.io - Documentation.

pip install gTTS
Collecting gTTS
  Downloading gTTS-2.5.4-py3-none-any.whl.metadata (4.1 kB)
...
Installing collected packages: gTTS
Successfully installed gTTS-2.5.4

simple python script with one example : create an audio file in romanian language.

from gtts import gTTS
tts = gTTS('Azi este 25 aprilie 2025', lang='ro', tld='ro')
tts.save('azi25.mp3')

News : Pydantic Releases Sandboxed Python Execution Server.

Pydantic officially announced its broader support for the MCP within the PydanticAI framework around March 20, and now the new tool leverages the Model Context Protocol (MCP), an open standard initiated by Anthropic.

The server achieves isolation by executing code using Pyodide, a Python runtime compiled to WebAssembly.

give AI agents the ability to perform Python-based tasks safely

You can find the Pydantic’s documentation for the tool, available at ai.pydantic.dev .

The Model Context Protocol itself try to solve difficulties in connecting AI models to the diverse external tools and data sources they often need.

News : Now Available: Replit Agent v2

Python 3.13.0rc1 : strange crash of Python running ...

... my windows 10 crash the python running ... this is the output of crash:

News : Python and Grok 3 Beta — The Age of Reasoning Agents

On the official website of x.ai you can find this:

We are thrilled to unveil an early preview of Grok 3, our most advanced model yet, blending superior reasoning with extensive pretraining knowledge.

You can find a simle and good example with python and pygame how this can be used.

The Grok 3 artificial inteligence is used for :

Research

Brainstorm

Analyze Data

Create images

Code

For me, the artificial intelligence help me to be more fast into coding versus issues and bugs, game design, parse and change data.

I don't test this Grok 3, but I can tell you some artificial inteligence into develop area are bad even they say is dedicated to this issue.

Python 3.13.0 : Only the unstructured library in Fedora 41 ...

The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

I used pip tool to install this python package:

mythcat@fedora:~$ pip install unstructured
Defaulting to user installation because normal site-packages is not writeable
Collecting unstructured
  Downloading unstructured-0.11.8-py3-none-any.whl.metadata (26 kB)
...
Successfully installed aiofiles-24.1.0 annotated-types-0.7.0 anyio-4.7.0 backoff-2.2.1 beautifulsoup4-4.12.3 chardet-5.2.0 click-8.1.8 cryptography-44.0.0 dataclasses-json-0.6.7 emoji-2.14.0 eval-type-backport-0.2.2 filetype-1.2.0 h11-0.14.0 httpcore-1.0.7 httpx-0.28.1 jsonpath-python-1.0.6 langdetect-1.0.9 marshmallow-3.23.2 mypy-extensions-1.0.0 nest-asyncio-1.6.0 nltk-3.9.1 pydantic-2.9.2 pydantic-core-2.23.4 pypdf-5.1.0 python-iso639-2024.10.22 python-magic-0.4.27 rapidfuzz-3.11.0 requests-toolbelt-1.0.0 sniffio-1.3.1 soupsieve-2.6 tabulate-0.9.0 tqdm-4.67.1 typing-extensions-4.12.2 typing-inspect-0.9.0 unstructured-0.11.8 unstructured-client-0.28.1 wrapt-1.17.0

But I got error on the unstructured-inference:

pip install unstructured-inference
Collecting unstructured-inference
...
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for onnx
Failed to build onnx
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (onnx)

... and errors on unstructured[pdf]:

mythcat@fedora:~$ pip install unstructured[pdf]
...
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for onnx
Failed to build onnx
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (onnx)

News : My GAME ENGINE is FINALLY DONE! (9 Years in the Making) - build with python.

... this is the cave engine project manager and if you don't know cave cave is a 3D easy to use ... python game engine for you to make games for computer Windows or Linux ... from GuilhermeTeres !

News : Python and the Intel's NPU Acceleration Library.

You can find the Intel's NPU Acceleration Library on this GitHub repo with Python code samples.

News : Python in Visual Studio Code – September 2024 Release

We’re excited to announce the September 2024 release of the Python and Jupyter extensions for Visual Studio Code!

This release includes the following announcements:

Django unit test support

Go to definition from inlay hints with Pylance

If you’re interested, you can check the full list of improvements in our changelogs for the Python, Jupyter and Pylance extensions.

Read more on the offcial website.

News : ... august 2024

... news for Python users and developers.

Python 3.12.5 released, see the official webpage.

... new Python 3.13.0 release candidate 1 released, you can read on this webpage.

the last one: Announcing Python Software Foundation Fellow Members for Q1 2024! from this webpage.

About the releases, I can say that all kinds of improvements are coming, I liked that they made the shell more interactive.

News : New Django Builder online tool.

Django builder is free to use, and a personal project worked on in my spare time.

Any donations are very much appreciated.

If you want to, feel free to donate using the BitCoin address or PayPal link below.

Here is a new online tool that allows you to create projects with the Django framework and manage them more easily. It comes with different versions of Django, you can include channels and HTMX.

I don't see a command line to manage the project...

Python 3.10.12 : Colab quantum circuits with qiskit - part 046.

I've added another introductory example to my GitHub repository with Google Colab notebooks on how to use quantum circuits with the Python package called qiskit and the IBM Quantum Platform.

I used the IBM Quantum Platform and it provides an A.P.I symbol so that it can be used with the source code.

You can find this notebook at this catafest_061.ipynb repo file.

News : SciPy 1.13.0 new release.

SciPy 1.13.0 is the culmination of 3 months of hard work. This out-of-band release aims to support NumPy 2.0.0, and is backwards compatible to NumPy 1.22.4. The version of OpenBLAS used to build the PyPI wheels has been increased to 0.3.26.dev.

This release requires Python 3.9+ and NumPy 1.22.4 or greater.

For running on PyPy, PyPy3 6.0+ is required.

This release can be found on the official GitHub repo.

python -m pip install --upgrade pip
Requirement already satisfied: pip in c:\python312\lib\site-packages (24.0)
...
python -m pip install --upgrade matplotlib
Collecting matplotlib
  Downloading matplotlib-3.8.4-cp312-cp312-win_amd64.whl.metadata (5.9 kB)
...
Successfully installed contourpy-1.2.1 cycler-0.12.1 fonttools-4.50.0 kiwisolver-1.4.5 matplotlib-3.8.4
...
python -m pip install --upgrade scipy
Collecting scipy
  Downloading scipy-1.13.0-cp312-cp312-win_amd64.whl.metadata (60 kB)
...
Successfully installed scipy-1.13.0

I tested the interpolate.Akima1DInterpolator changes with the default python script and works well:

import numpy as np
from scipy.interpolate import Akima1DInterpolator

import matplotlib.pyplot as plt
fig, ax = plt.subplots()

x = np.linspace(1, 7, 7)
y = np.array([-1, -1, -1, 0, 1, 1, 1])
xs = np.linspace(min(x), max(x), num=100)
y_akima = Akima1DInterpolator(x, y, method="akima")(xs)
y_makima = Akima1DInterpolator(x, y, method="makima")(xs)


ax.plot(x, y, "o", label="data")
ax.plot(xs, y_akima, label="akima")
ax.plot(xs, y_makima, label="makima")

ax.set_title('Fruit supply by kind and color')
ax.legend(title='Fruit color')

plt.show()

about Akima piecewise cubic Hermite interpolation.

Akima interpolator Fit piecewise cubic polynomials, given vectors x and y. The interpolation method by Akima uses a continuously differentiable sub-spline built from piecewise cubic polynomials. The resultant curve passes through the given data points and will appear smooth and natural.

The result of this source code is this:

Python 3.12.1 : About multiprocessing performance.

Today I test a simple python script for Pool and ThreadPool python classes from multiprocessing python module.

The main goal was to test Python’s multiprocessing performance with my computer.

NumPy releases the GIL for many of its operations, which means you can use multiple CPU cores even with threads.

Processing large amounts of data with Pandas can be difficult, and with Polars dataframe library is a potential solution.

Sciagraph gives you both performance profiling and peak memory profiling information.

Let's teste only these class:

The multiprocessing.pool.Pool class provides a process pool in Python.

The multiprocessing.pool.ThreadPool class in Python provides a pool of reusable threads for executing spontaneous tasks.

This is the python script:

from time import time
import multiprocessing as mp
from multiprocessing.pool import ThreadPool
import numpy as np
import pickle

def main():
    arr = np.ones((1024, 1024, 1024), dtype=np.uint8)
    expected_sum = np.sum(arr)

    with ThreadPool(1) as threadpool:
        start = time()
        assert (
            threadpool.apply(np.sum, (arr,)) == expected_sum
        )
        print("Thread pool:", time() - start)

    with mp.get_context("spawn").Pool(1) as process_pool:
        start = time()
        assert (
            process_pool.apply(np.sum, (arr,))
            == expected_sum
        )
        print("Process pool:", time() - start)

if __name__ == "__main__":
    main()

This is the result:

python thread_process_pool_001.py
Thread pool: 1.6689703464508057
Process pool: 11.644825458526611

Python 3.12.1 : From script to executable with pyinstaller.

Using scripts in or out of the environment is useful and accessible. Another version is to create an executable, but it will no longer allow the same access to the source code resource and the executable will not be very buildable.

It is debatable, especially for those who do not trust the compiled language.

Today, I use a Python packet called aaa that allows, through other options, the creation of an executable.

I installed this Python packet with the pip utility.

pip install PyInstaller

The source code I used is a simple example that displays some text.

import time 
print("Welcome catafest !")
time.sleep(100)

To convert the Python program file into a single standalone executable, I used this command:

pyinstaller --onefile --console exec_001.py
9538 INFO: PyInstaller: 6.5.0, contrib hooks: 2024.3
9539 INFO: Python: 3.12.1
9636 INFO: Platform: Windows-10-10.0.19045-SP0
9638 INFO: wrote C:\PythonProjects\executable_001\exec_001.spec
9711 INFO: Extending PYTHONPATH with paths
['C:\\PythonProjects\\executable_001']
18951 INFO: checking Analysis
18999 INFO: Building because C:\PythonProjects\executable_001\exec_001.py changed
18999 INFO: Initializing module dependency graph...
19031 INFO: Caching module graph hooks...
19392 INFO: Analyzing base_library.zip ...
26750 INFO: Loading module hook 'hook-encodings.py' from 'C:\\Python312\\Lib\\site-packages\\PyInstaller\\hooks'...
35164 INFO: Loading module hook 'hook-pickle.py' from 'C:\\Python312\\Lib\\site-packages\\PyInstaller\\hooks'...
40857 INFO: Loading module hook 'hook-heapq.py' from 'C:\\Python312\\Lib\\site-packages\\PyInstaller\\hooks'...
44873 INFO: Caching module dependency graph...
45194 INFO: Running Analysis Analysis-00.toc
45194 INFO: Looking for Python shared library...
45217 INFO: Using Python shared library: C:\Python312\python312.dll
45217 INFO: Analyzing C:\PythonProjects\executable_001\exec_001.py
45223 INFO: Processing module hooks...
45240 INFO: Performing binary vs. data reclassification (2 entries)
45243 INFO: Looking for ctypes DLLs
45259 INFO: Analyzing run-time hooks ...
45264 INFO: Including run-time hook 'C:\\Python312\\Lib\\site-packages\\PyInstaller\\hooks\\rthooks\\pyi_rth_inspect.py'
45326 INFO: Looking for dynamic libraries
45708 INFO: Extra DLL search directories (AddDllDirectory): []
45709 INFO: Extra DLL search directories (PATH): []
46487 INFO: Warnings written to C:\PythonProjects\executable_001\build\exec_001\warn-exec_001.txt
46534 INFO: Graph cross-reference written to C:\PythonProjects\executable_001\build\exec_001\xref-exec_001.html
46696 INFO: checking PYZ
46797 INFO: checking PKG
46962 INFO: Building because C:\PythonProjects\executable_001\exec_001.py changed
46962 INFO: Building PKG (CArchive) exec_001.pkg
52220 INFO: Building PKG (CArchive) exec_001.pkg completed successfully.
52222 INFO: Bootloader C:\Python312\Lib\site-packages\PyInstaller\bootloader\Windows-64bit-intel\run.exe
52222 INFO: checking EXE
52225 INFO: Building EXE because EXE-00.toc is non existent
52225 INFO: Building EXE from EXE-00.toc
52251 INFO: Copying bootloader EXE to C:\PythonProjects\executable_001\dist\exec_001.exe
52334 INFO: Copying icon to EXE
52383 INFO: Copying 0 resources to EXE
52383 INFO: Embedding manifest in EXE
52416 INFO: Appending PKG archive to EXE
52457 INFO: Fixing EXE headers
52738 INFO: Building EXE from EXE-00.toc completed successfully.

News : All Books Bundle from Michael Driscoll

For $60 you can buy a lot of all the card decks from Michael Driscoll.

• Get a copy of all my self-published Python eBooks :
• Python 101 - 2nd Edition
• Python 201: Intermediate Python
• ReportLab: PDF Processing with Python
• Jupyter Notebook 101
• Creating GUI Applications with Python
• Pillow: Image Processing with Python
• Automating Excel with Python
• The Python Quiz Book

News : Website for Python users.

Here is a site called clcoding.com for those who use the python language with many simple examples and even a test fairy: python coding challenge day.

Python 3.12.1 : flaskcode - an web based code editor.

This is an web based code editor on python flask framework.

Let's install with pip tool:

pip install flaskcode
Collecting flaskcode
  Downloading flaskcode-0.0.8.tar.gz (14.5 MB)
...
Installing collected packages: flaskcode
Successfully installed flaskcode-0.0.8

The flaskcode can be integrated in to your own Flask app by configuring and registering flaskcode.blueprint with your app:

from flask import Flask
import flaskcode

app = Flask(__name__)
app.config.from_object(flaskcode.default_config)
app.config['FLASKCODE_RESOURCE_BASEPATH'] = '/path/to/resource/folder'
app.register_blueprint(flaskcode.blueprint, url_prefix='/flaskcode')

@app.route('/')
def hello():
    return "Hello World!"

if __name__ == '__main__':
    app.run()

You can run easy this online tool on web browser with this command:

flaskcode
FlaskCode CLI: C:\PythonProjects

 * Serving Flask app 'flaskcode.cli'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5001
Press CTRL+C to quit

Python 3.12.1 : Bandit tool for security issues in Python code.

Bandit is a tool designed to find common security issues in Python code. To do this Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files it generates a report.

Bandit was originally developed within the OpenStack Security Project and later rehomed to PyCQA

Installation is simple with the pip tool:.

pip install bandit
Collecting bandit
  Downloading bandit-1.7.7-py3-none-any.whl.metadata (5.9 kB)
...
Installing collected packages: PyYAML, pygments, pbr, mdurl, stevedore, markdown-it-py, rich, bandit
Successfully installed PyYAML-6.0.1 bandit-1.7.7 markdown-it-py-3.0.0 mdurl-0.1.2 pbr-6.0.0 pygments-2.17.2 
rich-13.7.1 stevedore-5.2.0

You can see all features with this command:

bandit -h

I test on the script from the last tutorial with pypdf python module and the result is great:

bandit test_001.py
[main]  INFO    profile include tests: None
[main]  INFO    profile exclude tests: None
[main]  INFO    cli include tests: None
[main]  INFO    cli exclude tests: None
[main]  INFO    running on Python 3.12.1
Run started:2024-03-05 19:53:56.858212

Test results:
        No issues identified.

Code scanned:
        Total lines of code: 24
        Total lines skipped (#nosec): 0

Run metrics:
        Total issues (by severity):
                Undefined: 0
                Low: 0
                Medium: 0
                High: 0
        Total issues (by confidence):
                Undefined: 0
                Low: 0
                Medium: 0
                High: 0
Files skipped (0):

Python 3.12.1 : Testing pypdf - version 4.1.0 .

I tried to find a solution for processing PDF files.

The newer Python package called "unstructured" I tested was a disaster and a waste of time and resources.

Today I will show you tests with the Python package called pypdf with version: 4.1.0.

You can find it on the official page.

Installation is simple with the pip tool and you can also add options offered by crypto.

pip install pypdf[crypto]
Collecting pypdf[crypto]
  Downloading pypdf-4.1.0-py3-none-any.whl.metadata (7.4 kB)
...
Installing collected packages: pypdf
Successfully installed pypdf-4.1.0

Here is some information displayed with the show option.

python -m pip show pypdf
Name: pypdf
Version: 4.1.0
Summary: A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files
Home-page:
Author:
Author-email: Mathieu Fenniak <biziqe@mathieu.fenniak.net>
License:
Location: C:\Python312\Lib\site-packages
Requires:
Required-by:

I create a little script for testing:

import os
from pypdf import PdfReader  
from pypdf import PdfWriter
#PdfMerger is deprecated and will be removed in pypdf 5.0.0. Use PdfWriter instead.
#from pypdf import PdfMerger

pdf_file = PdfReader("invoice-001.pdf")
print("Size in pages : ",len(pdf_file.pages))
print("========")
page = pdf_file .pages[0]
print("Page : ", page)
print("========")
text = page.extract_text()
print("Page text : ", text)
print("========")
print("PDF Metadata : ", pdf_file.metadata)
print("PDF Metadata - Title: ", pdf_file.metadata.title)
print("========")
pdf_writer = PdfWriter("invoice-002.pdf")
page = pdf_writer.add_blank_page(width=8.27 * 72, height=11.7 * 72)
pdf_writer.write("invoice-002.pdf")

from pypdf import PdfWriter

merger = PdfWriter()

for pdf in ["invoice-001.pdf", "invoice-002.pdf"]:
    merger.append(pdf)

merger.write("invoice-003.pdf")
merger.close()

The result is this:

python test_001.py
Size in pages :  1
========
Page :  {'/Type': '/Page', '/Resources': {'/ProcSet': ['/PDF', '/Text', '/ImageB', '/ImageC', '/ImageI'], '/ExtGState': 
{'/G3': IndirectObject(3, 0, 2484091272080)}, '/XObject': {'/X4': IndirectObject(4, 0, 2484091272080)}, '/Font': {'/F7': 
IndirectObject(7, 0, 2484091272080), '/F8': IndirectObject(8, 0, 2484091272080)}}, '/MediaBox': [0, 0, 612, 792], 
'/Contents': IndirectObject(9, 0, 2484091272080), '/StructParents': 0, '/Parent': IndirectObject(10, 0, 2484091272080)}
========
Page text :  Dino Store
227 Cobblestone Road
30000 Bedrock, Cobblestone County
+555 7 789-1234
https://dinostore.bed | hello@dinostore.bedPayment details:
ACC:123006705
IBAN:US100000060345
SWIFT:BOA447
Bill to:
Slate Rock and Gravel Company
222 Rocky Way
30000 Bedrock, Cobblestone County
+555 7 123-5555
fred@slaterockgravel.bedInvoice No. 1
Invoice Date: 03.03.2024
Issue Date: 03.03.2024
Due Date: 02.04.2024
INVOICE
Item Quantity Price Discount Tax Linetotal
1 Test 001 1 50,00 € 1% 19% 49,50 €
2 Test 002 2 40,00 € 2% 19% 78,40 €
3 Frozen Brontosaurus Ribs 1 100,00 € 0% 19% 100,00 €
Subtotal: 227,90 €
Tax 19%: 43,30 €
Total: 271,20 €
Terms & Notes
Fred, thank you very much. We really appreciate your business.
Please send payments before the due date.
========
PDF Metadata :  {'/Creator': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) 
Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0', '/Producer': 'Skia/PDF m122', '/CreationDate': 
"D:20240304221509+00'00'", '/ModDate': "D:20240304221509+00'00'"}
PDF Metadata - Title:  None
========

The run of the script will create a second blend PDF named invoice-002 then will merge with the first one will result a PDF named : invoice-003.pdf .