Argues that HTTPS requires certificate verification for security, discussing Python's debate on backporting this fix to version 2.7.
A response to a critique of the author's introductory series on Frequentist vs. Bayesian statistics, focusing on audience and the role of decision theory.
A developer explains how to make GitHub track contributions to OpenStack repositories by starring them, using a Python script.
The author announces hyper v0.1.0, detailing new HTTP/2 support, dropped Python 3.3, and challenges with PyOpenSSL.
Using Blender to create 3D histograms of London rail station data, moving beyond Matlab's plotting capabilities.
Highlights of the scikit-learn 0.15 release, including performance improvements, new features, and deprecations.
A developer switches their default Python to PyPy for better performance and bug-finding, encouraging others to try it.
A beginner's guide to the Python deque module from collections, explaining its double-ended queue functionality and basic operations.
![[Book review] Python 101](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-e46fab4888f6-full-36a6f67e.webp)
A positive review of the book 'Python 101' by Mike Driscoll, covering its structure and recommending it for Python beginners.
The author announces they will be giving their first conference talk on Webscraping in Python at EuroPython 2014.
A critique of Python's datetime module, comparing its limitations to C#/.NET's more robust date and time handling.
A Python tutorial covering essential tools and techniques for machine learning, including data visualization, PCA, LDA, and classification.
A tutorial on using Python tools for machine learning, covering data loading, visualization, preprocessing, and classification with scikit-learn.
Learn how to use Python's multiprocessing module for parallel programming to overcome the GIL and utilize multiple CPU cores effectively.
A guide to using Python's multiprocessing module for parallel programming to overcome the GIL and utilize multi-core CPUs.
A practical guide to implementing Bayesian analysis in Python using MCMC packages like emcee, PyMC, and PyStan, with a line-fitting example.
Explores differences between frequentist and Bayesian statistics, focusing on how they handle nuisance parameters in data analysis.
A guide explaining the key differences between Python 2.7.x and Python 3.x, covering syntax changes, features, and common pitfalls.
Handroll 1.1, a static website generator, is released with new features like code highlighting, plugins, and better documentation.
A practical guide to simplifying Python logging, focusing on essential code snippets for libraries and applications.
