Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 8.30 GB | Duration: 13.5 hours

What you'll learn

For all who want to learn Python

Requirements

Interested in programming languages

Description

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

Who this course is for:

For Beginner and experts. For young and old.