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Learn how to turn your Python code into a reusable package with Hatch! From setup to installation, this beginner-friendly tutorial ...

Python is the #1 language for data work, data development, data analysis, machine learning, and generative AI.

Ouvrons maintenant un interpréteur Python pour commencer à jouer avec les modules. Nous allons commencer par importer le ...

Your code doesn't exist alone. It is one part of a large ecosystem, where many other things exist for you to build off of. This is ...

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no ...

Learn how to perform stateful distributed computation in Python with the Ray actors API.

Description: Master Python Documentation: Learn How to Use Official Python Docs Like a Pro! Python documentation is an ...

A demonstration of publishing a package on PyPI, by taking some code in a larger library that deserves its own package. This is ...

Use the performance advantage of #rustlang in Python by writing Python modules using Rust!!! You can build python libraries ...

Here, we discuss how to package and distribute your work via pyproject.toml and the Python Package Index and other things.

In this live-coding demo session we take a Python script as starting point which reads data, computes simple statistics, and ...

Keywords ### #dynamicssimulations #moleculardynamics #softwaretool #tooldesigned #structural #simulations #software ...

How to generate random numbers and use them to generate a random artwork. Most of this video talks about the program design ...

Part of the NERSC New User Training on September 7-8, 2023. Please see ...

Björklund, A., Mäkelä, J. & Puolamäki, K. (2022). SLISEMAP: Supervised dimensionality reduction through local explanations.

https://emacsconf.org/2025/talks/swanky You can view this and other resources using free/libre software at ...

Dependency management with environments and requirement files in Python. When you have projects that depend on other ...

Any feedback much appreciated, if you enjoyed sub for my unemployment addiction #coding #python #facts #fyp.

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible.

shorts Ever find yourself in a position where a adding a prints to your code is not enough to find the bug, but its too much of a ...