A guide to profiling Python code using cProfile to identify performance bottlenecks and optimize execution time.
A blog owner is seeking guest bloggers to write about Python and related topics due to their busy schedule.
Explores Visual Question Answering (VQA) as an alternative Turing Test, detailing neural network approaches using Python and Keras.
Explains the benefits of using a `src` directory in Python projects for accurate testing and packaging, and how to measure combined test coverage across multiple Python versions.
A tutorial on analyzing Seattle's Pronto CycleShare data using Python, Pandas, and the PyData stack for data science.
Announcing Hyper-h2 v1.0.0, a new Python library project providing foundational tools for building HTTP/2 implementations.
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 'Python Machine Learning,' a technical book for aspiring machine learning practitioners.
Author shares the journey and process of writing a book on Python Machine Learning, including productivity tips and the book's focus.
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 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.
