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Python for Everybody - Full University Python Course

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. 🔗 Sample Code Zip: https://www.py4e.com/code3.zip 🔗 Lecture Slides and Handouts: https://www.py4e.com/lectures3/ 🔗 Free Textbook: https://www.py4e.com/book.php 🔗 Course Website: https://www.py4e.com/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Why Program? ⌨️ (0:12:21) Why Program? - Hardware Architecture ⌨️ (0:24:24) Python 3 Windows Installation ⌨️ (0:32:34) Python 3 Mac Installation ⌨️ (0:36:41) Why Program? - Python as a Language ⌨️ (0:44:17) Why Program? - What do we say? ⌨️ (0:56:55) Variables, Expressions, and Statements ⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions ⌨️ (1:26:00) Conditional Execution ⌨️ (1:39:13) Conditional Execution - More Conditional Structures ⌨️ (1:52:48) Functions ⌨️ (2:03:02) Functions - Functions of our own ⌨️ (2:15:21) Loops and Iteration ⌨️ (2:25:04) Loops and Iteration - Definite Loops ⌨️ (2:31:40) Loops and Iteration - Loop Idioms ⌨️ (2:40:07) Loops and Iteration - More Loop Patterns ⌨️ (2:58:39) Strings ⌨️ (3:09:06) Strings - More String Operations ⌨️ (3:27:33) Reading Files ⌨️ (3:35:12) Reading Files - Reading Files in Python ⌨️ (3:48:42) Python Lists ⌨️ (3:59:27) Python Lists - Loop Operations ⌨️ (4:08:52) Python Lists - Strings vs. Lists ⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern ⌨️ (4:28:44) Dictionaries ⌨️ (4:36:32) Dictionaries - Counting ⌨️ (4:45:43) Dictionaries - Counting Words in Text ⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary ⌨️ (5:22:46) Tuples ⌨️ (5:32:18) Tuples - Sorting ⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples ⌨️ (5:54:56) Regular Expressions ⌨️ (6:05:21) Regular Expressions - From Matching to Extracting ⌨️ (6:13:47) Regular Expressions - String Parsing ⌨️ (6:22:17) Networked Programs ⌨️ (6:29:45) Networked Programs - Application Protocols ⌨️ (6:38:56) Networked Programs - Write a Web Browser ⌨️ (6:43:10) Networked Programs - Code Example: socket1.py ⌨️ (6:48:58) Networked Programs - Characters and Strings ⌨️ (6:59:57) Networked Programs - urllib ⌨️ (7:05:10) Networked Programs - Code Example: urllib1.py, urlwords.py ⌨️ (7:08:25) Networked Programs - Parsing HTML ⌨️ (7:14:48) Networked Programs - Code Example: urllinks.py ⌨️ (7:23:43) Using Web Services ⌨️ (7:26:35) Using Web Services - XML ⌨️ (7:32:02) Using Web Services - Code Example: xml1.py, xml2.py ⌨️ (7:37:40) Using Web Services - XML Schema ⌨️ (7:51:32) Using Web Services - JavaScipt Notation ⌨️ (7:57:45) Using Web Services - Code Example: json1.py, json2.py ⌨️ (8:03:08) Using Web Services - Service Oriented Approach ⌨️ (8:04:44) Using Web Services - Web Services ⌨️ (8:11:33) Using Web Services - Code Example: geojson.py ⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting ⌨️ (8:28:45) Using Web Services - Code Example: twitter1.py, twitter2.py ⌨️ (8:48:01) Python Objects ⌨️ (8:58:28) Python Objects - Sample Code ⌨️ (9:06:50) Python Objects - Object Lifecycle ⌨️ (9:13:19) Python Objects - Inheritance ⌨️ (9:20:44) Databases ⌨️ (9:35:55) Databases - SQLite Browser ⌨️ (9:45:40) Databases - Code Sample: emaildb.py ⌨️ (9:58:55) Databases - Code Sample: twspider.py ⌨️ (10:08:06) Databases - Database Design ⌨️ (10:16:29) Databases - Representing Relationships ⌨️ (10:20:37) Databases - Relationship Building ⌨️ (10:33:05) Databases - Join Operation ⌨️ (10:43:13) Databases - Code Sample: tracks.py ⌨️ (10:57:45) Databases - Many-to-Many Relationships ⌨️ (11:09:37) Databases - Code Sample: roster.py ⌨️ (11:20:40) Databases - Code Sample: twspider.py ⌨️ (11:20:40) Data Visualization ⌨️ (11:48:18) Data Visualization - Code Sample: Geodata ⌨️ (12:01:05) Data Visualization - Page Rank ⌨️ (12:12:14) Data Visualization - Code Sample: Pagerank Spidering ⌨️ (12:29:12) Data Visualization - Code Sample: Pagerank Computation ⌨️ (12:44:17) Data Visualization - Code Sample: Pagerank Visualization ⌨️ (12:44:17) Data Visualization - Mailing List Crawl ⌨️ (12:57:08) Data Visualization - Code Sample: Gmane Data Retrieval ⌨️ (13:13:42) Data Visualization - Code Sample: Gmane Data Modeling ⌨️ (13:26:04) Data Visualization - Code Sample: Gmane Data Visualization This course was created by Dr. Charles Severance (a.k.a. Dr. Chuck). He is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. "Python for Everybody" by Dr. Chuck Severance and the University of Michigan is licensed under CC BY. -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org