An interview about software testing in Python, covering the author's journey with Python, the Zen of Python, and challenges for beginners.
The author announces a self-published book on Python tips, tricks, and patterns, offering an early sign-up for a reduced price.
A developer shares his journey to becoming a Google Developer Advocate, detailing his career path and the reasons behind his decision to join the tech giant.
An update on the certifi project's new release, addressing 1024-bit root certificate removal and the plan for a hybrid bundle.
A curated list of beginner-friendly Python programming books, ranging from interactive tutorials to comprehensive guides.
A collection of useful Python programming tips and tricks, including enumerate, comprehensions, and debugging techniques.
A guide to using the AFL fuzzing tool to test Python code for bugs and security vulnerabilities by generating random inputs.
A guide to moving beyond basic grep for Python application monitoring, covering error logging with Sentry and metrics collection with tools like Prometheus.
A developer reflects on the emotional and professional revitalization they experience at PyCon, the annual Python conference.
A developer shares how starting with a minimal, functional version of a side-project (a Python TODO manager) leads to completion and avoids abandonment.
Analysis of London bus arrival times using Python and statistical modeling to explore waiting time distributions.
Introducing Todoman, a simple, open-source CLI task manager for Unix-like systems that saves tasks as iCalendar.
Analyzes the tension between Red Hat's long-term enterprise support for outdated software like Python 2.6 and the burden it places on open-source community maintainers.
Announcing EuroSciPy 2015, the European conference on Python for scientific computing, with calls for papers, talks, and tutorials.
An introduction to single-layer neural networks, covering the Perceptron and Adaline models, with Python implementations and gradient descent.
An introduction to single-layer neural networks, covering the history, perceptrons, adaptive linear neurons, and the gradient descent algorithm with Python implementations.
A monthly review sharing useful Python articles, news about Google Code shutting down, a book recommendation, and a handy shell tip.
Explains how to connect Python objects to Blinker signals using inner functions as closures to bridge the gap.
A tutorial on using Python and OpenCV to detect and count books in an image, filtering out other objects.
Explores using Fabric for server orchestration, provisioning, and deployment, integrating with Vagrant and Ansible for a unified workflow.
