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