Data structures store a collection of related data making it easier to solve complex problems. This course will teach you how to work with the four built-in data structures in Python: lists, tuples, sets, and dictionaries.

Handle exceptions and create useful error messages. Improve your skills by using exceptions for code flow control.

Get started with Python! Learn how to create programs and projects in Python. Work with strings, lists, loops, dictionaries, and functions.

Learn how to use Python for Data Science, Machine Learning & Data Analysis, Learn Hand's on Pandas and NumPy With 100+ Exercises and 4 Real Life Projects !

Python is a widely used scripting language on Linux. This course will teach you the core of the Python language and how to combine Python scripts with other Linux tools.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

This course teaches Python in the context of mechanical/aerospace engineering for advanced simulation and modeling.

This course is for R users who want to get up to speed with Python!

A practical guide to using Python for scientific computing and engineering applications, focusing on data analysis and visualization techniques.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

The next step after using procedural code is to write modular software by using functions. Functions, from simple ones to multiple-argument ones, are useful in making code reusable.

Tabnine AI assistant for software developers : Code faster with whole line and full function code completions