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"Mathspp Pydon'ts": Decorators | Pydon't 🐍

Link: https://mathspp.com/blog/pydonts/decorators


This article teaches the decorator pattern in Python, why it exists, how to use it, and when to use it to write efficient and idiomatic Python code.

Decorators
The decorator pattern is a functional
PyCoder’s Weekly: Issue #665: Dict Comprehensions, Data Visualization, Memory Leaks, and More (Jan. 21, 2025)

Link: https://pycoders.com/issues/665

#665 – JANUARY 21, 2025 View in Browser » Building Dictionary Comprehensions in Python In this video course, you’ll learn how to write dictionary comprehensions in Python. You’ll also explore th
Python Bytes: #417 Bugs hide from the light

Link: https://pythonbytes.fm/episodes/show/417/bugs-hide-from-the-light

<strong>Topics covered in this episode:</strong><br>

<ul>
<li><strong><a href="https://github.com/d4v3y0rk/llm_catcher?featured_on=pythonbytes">LLM Catcher</a></strong></li>
<li><strong>On PyPI Quar
Michael Foord: Advanced Python Course

Link: https://agileabstractions.com/advanced-python-course/

Over the last year I’ve updated my Advanced Python course to be based on a series of modules that can more easily be adapted to the specific needs of any team or group of delegates. There’s a lot more
PyCharm: Anomaly Detection in Time Series

Link: https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-time-series/


How do you identify unusual patterns in data that might reveal critical issues or hidden opportunities? Anomaly detection helps identify data that deviates significantly from the norm. Time series da
Real Python: How to Deal With Missing Data in Polars

Link: https://realpython.com/polars-missing-data/

Efficiently handling missing data in Polars is essential for keeping your datasets clean during analysis. Polars provides powerful tools to identify, replace, and remove null values, ensuring seamless
Python⇒Speed: Faster pip installs: caching, bytecode compilation, and uv

Link: https://pythonspeed.com/articles/faster-pip-installs/

Installing your Python application’s dependencies can be surprisingly slow.
Whether you’re running tests in CI, building a Docker image, or installing an application, downloading and installing depend
Brian Okken: Updates to the Top pytest Plugins - now 200

Link: https://pythontest.com/pytest/top-200-pytest-plugins/

I’m working on some updates to the Top pytest plugins list.
For January’s numbers, I’ve used a tweak on the process.
Starting with the process documented by Hugo for the Top PyPI Packages, I’m grabbin
Brett Cannon: My impressions of Gleam

Link: https://snarky.ca/my-impressions-of-gleam/

When I was about to go on paternity leave, the Gleam programming language reached 1.0. It&aposs such a small language that I was able to learn it over the span of two days. I tried to use it to conver
meejah.ca: Sending a File in 2025

Link: https://meejah.ca/blog/sending-a-file

Making a file appear on ONE other computer
Test and Code: pytest-cov : The pytest plugin for measuring coverage

Link: https://testandcode.com/episodes/pytest-cov

pytest-cov is a pytest plugin that helps produce coverage reports using Coverage.py.In this episode, we'll discuss:what Coverage.py iswhy you should measure code coverage on both your source and test
Django Weblog: Djangonaut Space - New session 2025

Link: https://www.djangoproject.com/weblog/2025/jan/23/djangonaut-space-new-session-2025/

We are thrilled to announce that Djangonaut Space, a mentorship program, is open for applicants for our next cohort! 🚀
Djangonaut Space is holding a fourth session! This session will start on February
Armin Ronacher: Build It Yourself

Link: http://lucumr.pocoo.org/2025/1/24/build-it-yourself

Another day, another rant
about dependencies. from me. This time I will ask you that we
start and support a vibe shift when it comes to dependencies.
You're probably familiar with the concept of “dep
Real Python: The Real Python Podcast – Episode #236: Simon Willison: Using LLMs for Python Development

Link: https://realpython.com/podcasts/rpp/236/

What are the current large language model (LLM) tools you can use to develop Python? What prompting techniques and strategies produce better results? This week on the show, we speak with Simon Williso
Real Python: Python and TOML: New Best Friends

Link: https://realpython.com/python-toml/

TOML stands for Tom’s Obvious Minimal Language. Its human-readable syntax makes TOML convenient to parse into data structures across various programming languages. In Python, you can use the built-in
Real Python: How to Download Files From URLs With Python

Link: https://realpython.com/python-download-file-from-url/

Python makes it straightforward to download files from a URL with its robust set of libraries. For quick tasks, you can use the built-in urllib module or the requests library to fetch and save files.
Real Python: How to Flush the Output of the Python Print Function

Link: https://realpython.com/python-flush-print-output/

Python’s flush parameter in the print() function allows you to control when to empty the output data buffer, ensuring your output appears immediately. This is useful when building visual progress indi
Real Python: Executing Python Scripts With a Shebang

Link: https://realpython.com/python-shebang/

In shell scripts, the shebang line (#!) specifies the path to the interpreter that should execute the file. You can place it at the top of your Python file to tell the shell how to run your script, al
Real Python: Python's raise: Effectively Raising Exceptions in Your Code

Link: https://realpython.com/python-raise-exception/

When you use the raise statement in Python to raise (or throw) an exception, you signal an error or an unusual condition in your program. With raise, you can trigger both built-in and custom exception