Are you stuck with Python? Python is an amazing language, and relatively easy to learn and use. But relatively easy doesn't mean that you won't have questions and problems. I've been using Python since 1993, and have been teaching it since 1995.  I teach everyone from experienced engineers to newcomers to programming, from children to retirees, from simple data structures to machine-learning algorithms. I'm now m...

Want a job in devops, testing, Web development, or data science? Then you'll probably need to learn Python, the hottest language in the computer world. This bundle is the online version of the same course I've been teaching to companies around the world for more than 20 years. It includes more than 40 hours of video lectures and dozens of exercises — all aimed at getting you jump-started into the world of Python. 

Less Python code. More Python power.

Software is "eating the world," entering every industry and every workplace. If you know how to write software, you'll be able to do your current job better, and will have an advantage interviewing for new jobs. Join me for a free, hour-long webinar in which I'll show you why Python is not only powerful and popular, but why it's easy to learn — even if you don't have a background in computer science, and what sor...

Sign up for this free course, and learn more about Reuven's most ambitious course — for teaching you Python and data analytics in 16 weeks.

What are exceptions? How do we use them? More importantly, how do we use them effectively? This is a recording of a webinar I did in October 2024, and covers what you need to know to use exceptions effectively. This short course includes both a video and the Jupyter notebook I used when recording the video, so that you can download it and follow along.

In this course, get started reading from and writing to files, including CSV and JSON.

How to write effective functions in Python. This course reviews defining functions, types of parameters, variable scoping, and the use of functions as objects. Includes 4 hours of video and lots of hands-on exercises!

What you need to start with Python: Syntax, loops, and data structures. 

Write less Python code! Learn to use existing module, as well as to write your own. Also: Virtual environments and publishing to PyPI. With more than 4 hours of video and a dozen exercises.

 As with many other modern languages, Python supports object-oriented programming. Moreover, Python makes it relatively straightforward to work with objects, thanks to a consistent approach, the fact that everything in the language is an object, simple syntax, and the removal of some confusing things. But for many developers, getting started with Python objects is hard and a bit daunting. If you're new to objects,...

This live course (which continues the content from the previous week) will go deeper into object-oriented programming in Python. Among the topics we'll discuss: - Class attributes - Magic methods - Inheritance - Smart object design

Learn the how and why of Python objects — and write more powerful code in less time

Want to learn programming, and aren't sure where to start? This 15-part course will get you where you need to go. It was originally recorded over 15 weeks in the spring-summer of 2020. Homework exercises are no longer in the forum, but printed at the bottom of each lesson.  Enjoy!

New to Python? Want to understand functions, and how they work? In this live, 4-hour class, I'll teach you what you need to know to use and write Python functions. As usual, I'll be live coding while teaching. There will be lots of exercises and plenty of time for questions. Join me, and come away really understanding functions.

New to Python? Confused by object-oriented programming? That's not a surprise. Objects have a lot of terminology and concepts that are hard for newcomers to grasp. In this course (and its follow-on the next week), I'll give you a gentle introduction to object-oriented programming in Python. Join me, and add this powerful tool to your toolbox!

Watch the recorded 4-hour class that I gave in September 2020 — and learn how to make your Python code more reliable!

15 exercises for Python beginners, focusing on Python's core data structures — strings, lists, tuples, dictionaries, and sets.