Case Study: Developing and Testing Python Packages with uv

Structuring Python projects properly, especially when developing packages, can often be confusing. Many developers struggle with common questions: To help clarify these common challenges, I’ll show how I typically set up Python projects and organise package structures using the Python package and environment manager, uv. The challenge A typical and recurring problem in Python is… Continue reading Case Study: Developing and Testing Python Packages with uv

A Python Orientation – How to Get Started

Python is a wonderful language for both beginners and expert programmers, but getting started can be daunting. Which version should I use? Which editors are best? What do you mean there are different implementations and environments? Here’s a guide to help navigate these big FAQs.

My Anaconda Workflow: Python environment and package management made easy

in this article martin provides an easy-to-follow reference guide of his anaconda workflow. he uses this to make his life easier managing the his python environment and package dependencies. and to great avail as you will soon discover. not only will you learn the basics of the powerful conda tool, he also goes into more depth on the more niche/advanced features like using alternate channels, distributing and cloning environments, updating anaconda, and setting environment variables. warning: this might get you on anaconda, and if you are already you probably want to keep this one nearby for reference.

Best Practices for Compatible Python 2 and 3 Code

95% of most popular Python packages support Python 3. Maybe you are lucky and get to start fresh using Python 3. However as of last year Python 2.7 still reigns supreme in pip installs and at a lot of places 2.x is the only version you get to work in. I think writing Python 2 and 3 compatible code is an important skill, so lets check what it entails.