Python for Everybody Full University Python Course


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Python for Everybody Full University Python Course

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.

⭐️ 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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