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Python for Everybody - Full University Python Course

15 Views· 18 November 2023
Austin jessey
Austin jessey
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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.

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