Srbija Posted August 31, 2020 Share #1 Posted August 31, 2020 (edited) 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 https://anonymz.com/?https://www.udemy.com/course/python-for-everybody-y/ https://rapidgator.net/file/e01fa890d3a33e9fcb1b264a1b591f02/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part01.rar.html https://rapidgator.net/file/d134b85b04f64f9dd65fe2f6cb2f8c3d/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part02.rar.html https://rapidgator.net/file/e23e820196f497162c360418e93b1430/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part03.rar.html https://rapidgator.net/file/5a13fe260eb9eaa79387425deedb2649/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part04.rar.html https://rapidgator.net/file/0d1ec5932d6578522e0b6ec378796db9/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part05.rar.html https://rapidgator.net/file/f3b352cbfb9723ecf41c0d3d4a07d522/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part06.rar.html https://rapidgator.net/file/4d28cae8b39656d8f157fab13e6add6e/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part07.rar.html https://rapidgator.net/file/7506fae2bc0f5f3ff1d58434356be31c/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part08.rar.html https://rapidgator.net/file/0e6959401426783e0ce49b67dc2e4d3a/Python_-_Learn_all_about_Functions,_Loops_and_Iteration.part09.rar.html Edited January 31, 2021 by Bad Karma Dead links removed Link to comment
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