A review and tutorial covering Christoph Molnar's book on Interpretable Machine Learning, with Python code examples for linear and logistic regression.
The Dask team shares insights on running successful virtual community tutorials, including benefits for learners and maintainers, and practical logistics.
Author Yasoob releases the alpha version of his project-based Python book, offering a discount and free future updates.
Compares the 'Ask for Forgiveness' (EAFP) and 'Look Before You Leap' (LBYL) coding philosophies, using Python file reading as an example.
A series exploring techniques to write faster Python code, covering idiomatic patterns, performance tools, and benchmarking.
A guide to cleaning and processing messy CSV data using Python's Pandas library, including reading files and assigning custom headers.
A tutorial on writing a simple Python-to-C compiler in Python, using libpython to compile and run a Fibonacci program.
A developer builds a school year calendar feature in Django, adding break day models, methods, and tests.
A guide to making Django projects portable and easy to share across different machines using Git and dependency management.
A technical guide on setting up and analyzing distributed Dask clusters for parallel computing across multiple machines.
A guide to creating an IPython extension to improve the %rerun magic command by handling exceptions during command replay.
A technical guide explaining the JPEG compression algorithm and demonstrating how to write a basic JPEG decoder from scratch using Python.
A tutorial on automating GitHub profile README updates using Python and GitHub Actions to display recent blog posts.
A developer builds a student enrollment form using Python and Django, focusing on context data, Tailwind CSS styling, and unit testing.
A guide to setting up a Python project with automated testing, linting, and type-checking to improve code quality and team collaboration.
A guide to setting up cost-effective, on-demand load testing using Locust and Heroku for web applications.
A developer builds a mobile web app for a homelessness-focused hackathon using Python and Django, covering models, admin, and pages.
A design document outlining the separation of the data layer in QuTiP for a Google Summer of Code project, focusing on abstract interfaces and implementation strategies.
A developer shares 9 practical tips for improving your Bash and Python scripting workflow, based on real-world experience.
Benchmark analysis shows async Python web frameworks often have worse throughput and higher latency variance than synchronous alternatives under realistic conditions.
