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 3.12.1 : Using the subprocess python module - part 001.

The subprocess module allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older modules and functions:

See the official webpage for Python verison 3.12.3 same like version 3.12.1 I used.

Let's see two examples with this python module:

First script will get output of net users command and will parse all into a list:

import subprocess

def find_users():
    try:
        result = subprocess.run(["net", "users"], capture_output=True, text=True)
        users = result.stdout.splitlines()      
        # define list content         
        user_list = []
        for line in users[4:-2]:  # inser only some rows 
            #print(line) #only users        
            user = line.split()
            user_list += user
        # print the right result
        print(user_list)
    except Exception as e:
        print(f"Error : {str(e)}")

# run find_users
find_users()

The result is this:

python test_001.py
['Administrator', 'catafest', 'DefaultAccount', 'Guest', 'WDAGUtilityAccount']

This source code will show data from tasklist and will print result of this ... :

import subprocess

def find_processes():
    try:
        result = subprocess.run(['tasklist', '/v'], capture_output=True, text=True)
        output_lines = result.stdout.splitlines()

        for line in output_lines[3:]:
            columns = line.split()
            #print(columns)
            #if len(columns) >= 8 and columns[9] == 'N/A':
            if len(columns) >= 8 and columns[0] == 'tasklist.exe':
                print(line)
    except Exception as e:
        print(f"A apărut o eroare la găsirea proceselor suspendate: {str(e)}")

find_processes()

The result will be like this:

python test_pid_003.py
tasklist.exe 8348 Console 1 10,304 K Unknown DESKTOP-mycomputer 0:00:00 N/A

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.

Python 3.12.3 : python and Federated Message Bus in Fedora Linux Distro.

A few days ago I tested this functionality named Federated Message Bus of the Linux distribution called Fedora.

Federated Message Bus is a library built on ZeroMQ using the PyZMQ Python bindings. fedmsg aims to make it easy to connect services together using ZeroMQ publishers and subscribers.

You can use this python package named fedmsg to use this functionality ...

This is the source code :

import fedmsg
from fedmsg import *

import os
# Set the routing_nitpicky flag to True
os.environ['FEDMSG_ROUTING_NITPICKY'] = 'True'


config = fedmsg.config.load_config([],None)
config['mute'] = True
config['timeout'] = 0

for name, endpoint, topic, msg in fedmsg.tail_messages(**config):
    print ("name ", name)

This is the result :

[mythcat@fedora FedoraMessaging]$ python fedmsg_001.py
No routing policy defined for "org.fedoraproject.prod.copr.build.start" but routing_nitpicky is False so the message is being treated as authorized.
name  fedora-infrastructure
No routing policy defined for "org.fedoraproject.prod.copr.chroot.start" but routing_nitpicky is False so the message is being treated as authorized.
name  fedora-infrastructure
No routing policy defined for "org.fedoraproject.prod.github.check_run" but routing_nitpicky is False so the message is being treated as authorized.
name  fedora-infrastructure
No routing policy defined for "org.fedoraproject.prod.github.pull_request_review" but routing_nitpicky is False so the message is being treated as authorized.
name  fedora-infrastructure
No routing policy defined for "org.fedoraproject.prod.github.pull_request_review_comment" but routing_nitpicky is False so the message is being treated as authorized.
name  fedora-infrastructure ... 

Python 3.12.1 : aiohttp python package - part 001.

This python package named aiohttp provides asynchronous HTTP client and server functionality.

You can find more about this pytho package on the GitHub repo and the official page.

The last time I wrote about this python package was on Thursday, July 9, 2020 in this source code tutorial titled Python 3.8.3 : About aiohttp python package.

A few days ago I tested two python scripts that use this python packet.

One script makes a benchmark and the other uses cookie technology as a test.

Here is the script that makes the benchmark...

import timeit
from http import cookies

from yarl import URL

from aiohttp import CookieJar

def filter_large_cookie_jar():
    """Filter out large cookies from the cookie jar."""
    jar = CookieJar()
    c = cookies.SimpleCookie()
    domain_url = URL("http://maxagetest.com/")
    other_url = URL("http://otherurl.com/")

    for i in range(5000):
        cookie_name = f"max-age-cookie{i}"
        c[cookie_name] = "any"
        c[cookie_name]["max-age"] = 60
        c[cookie_name]["domain"] = "maxagetest.com"
    jar.update_cookies(c, domain_url)
    assert len(jar) == 5000
    assert len(jar.filter_cookies(domain_url)) == 5000
    assert len(jar.filter_cookies(other_url)) == 0

    filter_domain = timeit.timeit(lambda: jar.filter_cookies(domain_url), number=1000)
    filter_other_domain = timeit.timeit(
        lambda: jar.filter_cookies(other_url), number=1000
    )
    print(f"filter_domain: {filter_domain}")
    print(f"filter_other_domain: {filter_other_domain}")

filter_large_cookie_jar()

Here is the result obtained...

python test_bench_001.py
filter_domain: 59.85247729999901
filter_other_domain: 0.042927300000883406

Is more easier to understand code on how to use a cookie with this Python package using the httpbin website.

httpbin.org is a simple HTTP request and response service. It provides an easy way to test and inspect various aspects of HTTP communication.

Let's see the source code:

import asyncio
import aiohttp

async def main():
    urls = [
        'http://httpbin.org/cookies/set?test=ok',
    ]

    async with aiohttp.ClientSession(cookie_jar=aiohttp.CookieJar()) as s:
        for url in urls:
            async with s.get(url) as r:
                print('JSON:', await r.json())

        cookies = s.cookie_jar.filter_cookies('http://httpbin.org')
        for key, cookie in cookies.items():
            print(f'Key: "{cookie.key}", Value: "{cookie.value}"')

if __name__ == '__main__':
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        pass

The result of this running is this ...

python test_cookie_001.py
JSON: {'cookies': {'test': 'ok'}}
Key: "test", Value: "ok"

Python 3.12.1 : NiceGUI - UI framework over internet.

NiceGUI is an easy-to-use, Python-based UI framework, which shows up in your web browser. You can create buttons, dialogs, Markdown, 3D scenes, plots and much more.

The project can be found on this GitHub repo.

pip install nicegui
Collecting nicegui
  Downloading nicegui-1.4.21-py3-none-any.whl.metadata (9.4 kB)
...
Successfully installed aiofiles-23.2.1 aiohttp-3.9.4 aiosignal-1.3.1 bidict-0.23.1 docutils-0.19 fastapi-0.109.2 
frozenlist-1.4.1 httptools-0.6.1 ifaddr-0.2.0 markdown2-2.4.13 multidict-6.0.5 nicegui-1.4.21 orjson-3.10.0 
pscript-0.7.7 python-engineio-4.9.0 python-multipart-0.0.9 python-socketio-5.11.2 simple-websocket-1.0.0 
starlette-0.36.3 uvicorn-0.29.0 vbuild-0.8.2 watchfiles-0.21.0 websockets-12.0 yarl-1.9.4

The default demo example from the official webpage works fine.

This is the source code I used.

from nicegui import ui
from nicegui.events import ValueChangeEventArguments

def show(event: ValueChangeEventArguments):
    name = type(event.sender).__name__
    ui.notify(f'{name}: {event.value}')

ui.button('Button', on_click=lambda: ui.notify('Click'))
with ui.row():
    ui.checkbox('Checkbox', on_change=show)
    ui.switch('Switch', on_change=show)
ui.radio(['A', 'B', 'C'], value='A', on_change=show).props('inline')
with ui.row():
    ui.input('Text input', on_change=show)
    ui.select(['One', 'Two'], value='One', on_change=show)
ui.link('And many more...', '/documentation').classes('mt-8')

ui.run()

I run with the python and you can see is visible in many places:

python test_001.py
NiceGUI ready to go on http://localhost:8080, http://x.x.x.x:8080, and http://x.x.x.x:8080

The result is this:

You can find a lot of examples on the official GitHub repo.

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 3.12.2 : Python and the Fedora Messaging Infrastructure - part 001.

I tried using the Fedora Messaging online tool with the python package of the same name on Python version 3.12.2.

You can find the documentation on the official page./div>

I created a working folder called FedoraMessaging:

[mythcat@fedora PythonProjects]$ mkdir FedoraMessaging
[mythcat@fedora PythonProjects]$ cd FedoraMessaging

You need to install the fedora-messaging and rabbitmq-server packages.

[root@fedora FedoraMessaging]# dnf5 install fedora-messaging
Updating and loading repositories:
Repositories loaded.
Package                             Arch    Version                       Repository         Size
Installing:                                                                                      
 fedora-messaging                   noarch  3.5.0-1.fc41                  rawhide        38.6 KiB
...
[root@fedora FedoraMessaging]# dnf install rabbitmq-server

At some point it will ask for a reboot.

You need to install the python package named fedora-messaging.

[root@fedora FedoraMessaging]# pip install --user fedora-messaging
Collecting fedora-messaging
...
Installing collected packages: pytz, incremental, wrapt, tomli, rpds-py, pyasn1, pika, hyperlink, constantly, attrs, 
referencing, pyasn1-modules, automat, twisted, jsonschema-specifications, service-identity, jsonschema, crochet, 
fedora-messaging
Successfully installed attrs-23.2.0 automat-22.10.0 constantly-23.10.4 crochet-2.1.1 fedora-messaging-3.5.0 
hyperlink-21.0.0 incremental-22.10.0 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 pika-1.3.2 pyasn1-0.6.0 
pyasn1-modules-0.4.0 pytz-2024.1 referencing-0.34.0 rpds-py-0.18.0 service-identity-24.1.0 tomli-2.0.1 twisted-24.3.0 
wrapt-1.16.0

You need to start the broker:

[mythcat@fedora FedoraMessaging]$ sudo systemctl start rabbitmq-server

I used the source code from the documentation to test its functionality with a python script named hello_test.py.

from fedora_messaging import api, config

config.conf.setup_logging()
api.consume(lambda message: print(message))

from fedora_messaging import api, config

config.conf.setup_logging()
api.publish(api.Message(topic="hello by mythcat", body={"Hello": "world!"}))

I ran it and got this response:

[mythcat@fedora FedoraMessaging]$ python hello_test.py
[fedora_messaging.message INFO] Registering the 'base.message' key as the '<class 'fedora_messaging.message.Message'>' 
class in the Message class registry
[fedora_messaging.twisted.protocol INFO] Waiting for 0 consumer(s) to finish processing before halting
[fedora_messaging.twisted.protocol INFO] Finished canceling 0 consumers
[fedora_messaging.twisted.protocol INFO] Disconnect requested, but AMQP connection already gone

I created another python script named my_consumer.py, to check if this works:

from fedora_messaging import api, config
# Setup logging
config.conf.setup_logging()
# Define the callback function to process messages
def process_message(message):
    # Check if the message topic matches "hello by mythcat"
    if message.topic == "hello by mythcat":
        print(f"Received message: {message.body}")
    else:
        print(f"Ignoring message with topic: {message.topic}")
# Consume messages
api.consume(process_message)

I ran it and got this response:

[mythcat@fedora FedoraMessaging]$ python my_consumer.py
[fedora_messaging.twisted.protocol INFO] Successfully registered AMQP consumer Consumer(queue=amq.gen-9lKk7sGeYY5I40bdc5VrzQ,
callback=<function process_message at 0x7fdb0f5da160>)
[fedora_messaging.message INFO] Registering the 'base.message' key as the '<class 'fedora_messaging.message.Message'>'
class in the Message class registry
[fedora_messaging.twisted.consumer INFO] Consuming message from topic hello by mythcat 
(message id 800a1540-1e91-4b4a-a125-15e33eebb699)
Received message: {'Hello': 'world!'}
[fedora_messaging.twisted.consumer INFO] Successfully consumed message from topic hello by mythcat 
(message id 800a1540-1e91-4b4a-a125-15e33eebb699)

It can be seen that the answer is received and displayed correctly.