Reuven Lerner's Python Courses/Add Python to your resume — Intro Python bundle

  • $930 or 4 monthly payments of $250

Add Python to your resume — Intro Python bundle

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. 

Get this course, and many others, at https://LernerPython.com

Contents

  • $96

Comprehending comprehensions

Less Python code. More Python power.

  • $180

Intro Python: Files

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

  • $180

Intro Python: Functions

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!

  • $300

Intro Python: Fundamentals

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

  • $180

Intro Python: Modules and Packages

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.

  • $180

Object-oriented Python

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

  • Free

Python for non-programmers

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!

  • $180

Testing your Python programs with pytest

  • Sep 13, 2020 at 6:00 PM IDT

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