Benchmarking Gnocchi for fun & profit
A technical article about benchmarking the performance of Gnocchi, a time-series database, including tool development and hardware setup results.
A technical article about benchmarking the performance of Gnocchi, a time-series database, including tool development and hardware setup results.
Author shares the journey and process of writing a book on Python Machine Learning, including productivity tips and the book's focus.
Author shares the journey and process of writing 'Python Machine Learning,' a technical book for aspiring machine learning practitioners.
The author demonstrates their pure-Python HTTP/2 stack working with iOS 9 and major browsers, sharing client settings.
A developer shares a curated list of useful Python tutorials covering topics like memory leaks, Flask APIs, and command-line libraries.
A guide to using the Voluptuous library for robust data validation and schema definition in Python applications.
The author is giving away free coupons for a paid Udemy course on Python GUI programming with the Qt framework.
A scientist explains why Python is their preferred tool for machine learning and data analysis, emphasizing productivity over language wars.
A scientist explains why Python is their preferred language for machine learning and data analysis, arguing for 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.
Explores implementing the Fibonacci sequence in Python using Haskell's lazy, functional style for elegance and efficiency.