Python - Learn all about Functions, Loops and Iteration
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.


Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/python-for-everybody-y/


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