This is CS50P, CS50’s Introduction to Programming with Python. Enroll for free at Slides, source code, and more at Playlist at
TABLE OF CONTENTS
00:00:00 - Introduction
00:00:24 - Regular Expressions
00:01:16 - Validation without Regular Expressions
00:10:45 - re Library
00:14:04 - Regular Expression Patterns
00:33:09 - Matching Start and End
00:38:58 - Sets of Characters
00:49:18 - Character Classes
00:57:38 - Flags
01:00:40 - Groups
01:10:06 - Email Address Validation
01:12:14 - match, fullmatch
01:13:47 -
01:20:40 - Capturing Groups
01:29:57 - Walrus Operator
01:32:35 - Extracting from Strings
01:40:31 -
01:53:24 -
02:03:57 - Conclusion
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. 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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LICENSE
CC BY-NC-SA 4.0
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
David J. Malan
malan@
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12 months ago 00:03:22 1
CS50P Final Project
1 year ago 15:57:48 1
Harvard CS50’s Introduction to Programming with Python – Full University Course