An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples. Beginner projects focus on logic building and automation, while advanced ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

Python simplifies coding with easy syntax, built-in tools, and real-world applications. Mastering basics like loops, functions, and APIs helps build strong programming foundations. Building projects ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient for ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

A comprehensive collection of my notes and code examples for revision, covering Python OOP concepts, advanced topics like operator overloading, multithreading, file I/O, and more — structured for easy ...