Critical Thinking, Innovation, Research and Development, Commercialization

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

About this course

An introduction to programming using a language called Python. Learn how to read and write code as well as how to test and “debug” it. Designed for students with or without prior programming experience who’d like to learn Python specifically. 

Estimated 10 weeks

3-9 hours per week

Self-paced

Progress at your own speed

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Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on 

opportunities for lots of practice. Exercises inspired by real-world programming problems. No software required except for a web browser, or you can write code on your own PC or Mac.

Whereas CS50x itself focuses on computer science more generally as well as programming with C, Python, SQL, and JavaScript, this course, aka CS50P, is entirely focused on programming with Python. You can take CS50P before CS50x, during CS50x, or after CS50x. But for an introduction to computer science itself, you should still take CS50x!

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What you’ll learn

  • Functions, Variables
  • Conditionals
  • Loops
  • Exceptions
  • Libraries
  • Unit Tests
  • File I/O
  • Regular Expressions
  • Object-Oriented Programming
  • Et Cetera
  •  Institution: Harvard
  • Subject: Business & Management
  • Level: Introductory
  • Prerequisites: None
  •  Langauge: English
  • Video Transcript: English
  • Associated programs: Professional Certificate in computer science for python programming

About the instructors

David J. Malan

Gordon McKay Professor of the Practice of Computer Science at Harvard University

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