A scientist explains why Python is their preferred language for machine learning and data analysis, arguing for productivity over language wars.
A scientist explains why Python is their preferred tool for machine learning and data analysis, emphasizing productivity over language wars.
Author announces the free release of their open-source book 'Intermediate Python', designed to guide learners after mastering the basics.
A tutorial on using Dask for out-of-core data analysis with a large OpenStreetMap dataset, demonstrating scalable Python data manipulation.
A developer shares a Python script to save subscriber-only LWN.net articles to Pocket for offline reading.
A discussion on the challenges of sustainably funding open source software, inspired by a PyCon AU talk and the case of the Hypothesis library.
Compares frequentist and Bayesian approaches to statistical model selection, highlighting philosophical differences and computational trade-offs.
A summary of the second Nilearn sprint, highlighting new features and improvements for this neuroimaging machine learning library.
A tutorial on creating a custom extension for the handroll static site generator, from code to configuration.
A programmer shares their personal method for learning new programming languages and offers motivation based on their own journey into coding.
A developer documents their journey creating a Whitney Houston song API from scratch using Python, web scraping, and JSON.
Using Python and unsupervised machine learning to analyze Seattle bicycle count data and uncover insights about commuting work habits.
A simulation of the card game 'Stop the Bus' using Python and Blender, analyzing optimal stopping strategies through millions of simulated games.
Explores implementing the Fibonacci sequence in Python using Haskell's lazy, functional style for elegance and efficiency.
A guide to four command-line tools (IPython, Autoenv, Cookie Cutter, Bash Git Prompt) to boost productivity for Python developers.
A developer's guide to handling timezones in Python, covering pitfalls, best practices, and the datetime module's design.
A comparison of Python implementations for the Lomb-Scargle periodogram, recommending the fast algorithm in the gatspy package for analyzing irregularly-sampled data.
The Bite Python Newsletter is now an official weekly publication, with a new schedule and homepage.
Explains the benefits of using Python's namedtuple for readable, self-documenting, and efficient code compared to regular tuples.
A guide to using the 'retrying' Python library for implementing robust retry logic in applications dealing with external failures.
