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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!

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!

When working with fractions in Python, we tend to use floats, but we also have the decimal module. Learn how to use it, and its benefits over floats.