Learn Python Programming

Add tests to your Python code with pytest. Let me show you how to write simple, effective tests!

If you need to install multiple Python versions, going the ol' installer route isn't the best idea. In this article I show you how I manage multiple Python versions, using pyenv.

Understanding time complexity and BigO notation helps us write better and more efficient algorithms. In this post we explain the different time complexities with Python examples!

To remove items from a list we can use remove() or pop(). They behave slightly differently, so let's take a look!

The property decorator allows us to define methods that act as attributes in Python classes. This simplifies using the objects, and extends what we can do when getting and setting attribute values.

When Python if statements grow, they become difficult to work with. Learn how to simplify them using match-case and dictionaries in this post!

Learn some of the main building blocks of Python in this post! Including indentation, comments, operators, and conditionals.

Python 3.10 deprecated a frequently-used function in the asyncio library. In this post we explain what the new best practice is and how to change your code to use it.

Learn about the new "match...case" syntax in Python 3.10, and how you can use it with a bunch of examples!

Object-Oriented Programming can be very confusing. In this post we explain it from the ground up, using examples, to show you how and when to use it.

Python 3.9 introduced two new operators for dictionary merging and updating. Learn more about them, as well as other places where you can use them!

Working with dependencies is a fact of life. With this post, learn about dependency management in Python using virtual environments!

What are Abstract Classes? When are they useful? When should you use them? Let's take a look!

30 Days Of Python is a series that guides you through the initial stages of learning to code with Python. Totally free, with dozens of exercises and projects to complete!

Dates and times are essential in programming, but they come with complications: parsing and serializing, storing in databases, and working with timezones among others. Read this post to learn more about how to work with dates and times in Python effectively!

When should you use processes and threads in Python? How can you make use of all your CPU has to offer? In this post we explore a few techniques to improve performance, easily.

In this post we talk about some tips and techniques for writing clean, readable Python. Avoid common style mistakes and write beautiful Python code!