Udemy - Python Advanced Programming Bootcamp For Beginners

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Python Advanced Programming Bootcamp For Beginners [TutsNode.com] - Python Advanced Programming Bootcamp For Beginners 1. Programming with Python
  • 3. Setting-up IDE.mp4 (269.0 MB)
  • 1. Introduction.html (2.0 KB)
  • 2.1 Repl.it IDE.html (0.1 KB)
  • 3.1 Pycharm IDE.html (0.1 KB)
  • 3.1 Python Official Website.html (0.1 KB)
  • 3.2 Pycharm IDE.html (0.1 KB)
  • 3.2 Python Official Website.html (0.1 KB)
  • 4. Basic Programming concepts.html (0.1 KB)
  • 2. What is Programming.srt (22.6 KB)
  • 3. Setting-up IDE.srt (22.5 KB)
  • 2. What is Programming.mp4 (96.6 MB)
16. Modules & Packages
  • 1. Modules & Packages.srt (15.2 KB)
  • 2. random Module.srt (13.6 KB)
  • 3. datetime Module.srt (8.7 KB)
  • 4. Modules & Packages.html (0.1 KB)
  • 5. Modules.html (0.1 KB)
  • 1. Modules & Packages.mp4 (90.5 MB)
  • 2. random Module.mp4 (64.8 MB)
  • 3. datetime Module.mp4 (61.3 MB)
18. Intermediate Level Milestone
  • 2. Workbook 2.html (0.3 KB)
  • 1. Intermediate Level Test.html (0.1 KB)
  • 2.1 WorkBook (Intermediate).pdf (19.7 MB)
17. All built-in functions
  • 28.1 PYTHON BUILT-INS( ).jpg (141.0 KB)
  • 12.1 format( ) specs.pdf (97.6 KB)
  • 12. format( ).srt (6.1 KB)
  • 18. help( ).srt (5.7 KB)
  • 2. all( ).srt (5.1 KB)
  • 26. map( ).srt (5.0 KB)
  • 28. open( ).srt (4.9 KB)
  • 30. print( ).srt (4.6 KB)
  • 10. enumerate( ).srt (4.4 KB)
  • 21. input( ).srt (4.3 KB)
  • 9. dir( ).srt (4.3 KB)
  • 15. globals( ).srt (4.3 KB)
  • 1. abs( ).srt (3.7 KB)
  • 7. compile( ), exec( ) & eval( ).srt (3.6 KB)
  • 25. locals( ).srt (3.5 KB)
  • 8. delattr( ).srt (3.4 KB)
  • 16. hasattr( ).srt (3.3 KB)
  • 23. issubclass( ).srt (3.3 KB)
  • 11. filter( ).srt (3.1 KB)
  • 3. any( ).srt (2.9 KB)
  • 22. isinstance( ).srt (2.8 KB)
  • 4. ascii( ).srt (1.7 KB)
  • 36. zip( ).srt (2.7 KB)
  • 5. bin( ).srt (1.8 KB)
  • 24. iter( ) & next( ).srt (2.4 KB)
  • 6. callable( ).srt (0.9 KB)
  • 31. range( ).srt (2.2 KB)
  • 34. setattr( ).srt (2.1 KB)
  • 14. getattr( ).srt (1.9 KB)
  • 20. id( ).srt (1.8 KB)
  • 33. reversed( ).srt (1.7 KB)
  • 35. vars( ).srt (1.7 KB)
  • 17. hash( ).srt (1.7 KB)
  • 19. hex( ).srt (1.7 KB)
  • 32. repr( ).srt (1.6 KB)
  • 27. oct( ).srt (1.4 KB)
  • 13. Formatting Specifications for format( ).html (0.5 KB)
  • 29. open( )'s mode parameter's values.html (0.2 KB)
  • 18. help( ).mp4 (40.1 MB)
  • 26. map( ).mp4 (33.7 MB)
  • 28. open( ).mp4 (32.9 MB)
  • 9. dir( ).mp4 (32.1 MB)
  • 15. globals( ).mp4 (29.9 MB)
  • 30. print( ).mp4 (29.3 MB)
  • 10. enumerate( ).mp4 (29.2 MB)
  • 12. format( ).mp4 (27.4 MB)
  • 8. delattr( ).mp4 (25.8 MB)
  • 25. locals( ).mp4 (25.8 MB)
  • 22. isinstance( ).mp4 (25.1 MB)
  • 36. zip( ).mp4 (24.9 MB)
  • 23. issubclass( ).mp4 (23.6 MB)
  • 11. filter( ).mp4 (23.2 MB)
  • 21. input( ).mp4 (22.1 MB)
  • 7. compile( ), exec( ) & eval( ).mp4 (22.0 MB)
  • 2. all( ).mp4 (20.5 MB)
  • 16. hasattr( ).mp4 (20.3 MB)
  • 1. abs( ).mp4 (18.0 MB)
  • 34. setattr( ).mp4 (17.2 MB)
  • 31. range( ).mp4 (13.8 MB)
  • 3. any( ).mp4 (12.5 MB)
  • 35. vars( ).mp4 (12.4 MB)
  • 14. getattr( ).mp4 (11.8 MB)
  • 24. iter( ) & next( ).mp4 (11.6 MB)
  • 33. reversed( ).mp4 (10.9 MB)
  • 19. hex( ).mp4 (8.9 MB)
  • 20. id( ).mp4 (8.6 MB)
  • 17. hash( ).mp4 (8.6 MB)
  • 32. repr( ).mp4 (8.3 MB)
  • 27. oct( ).mp4 (7.7 MB)
  • 5. bin( ).mp4 (5.5 MB)
  • 6. callable( ).mp4 (4.2 MB)
  • 4. ascii( ).mp4 (4.0 MB)
23. Data Science Project with Python
  • 1.4 Trees_Report.ipynb (57.1 KB)
  • 1. Data Science Exercise 1.srt (28.2 KB)
  • 1.1 trees.csv (0.8 KB)
  • 3. Data Science Exercise 3.html (0.1 KB)
  • 5. Data Science Exercise 5.html (0.1 KB)
  • 2. Data Science Exercise 2.html (0.1 KB)
  • 4. Data Science Exercise 4.html (0.1 KB)
  • 1.3 Data Science With Python [ EXTENDED ].html (0.1 KB)
  • 1.2 Full Python Programming.html (0.1 KB)
  • 1. Data Science Exercise 1.mp4 (198.9 MB)
2. Data Types & Variables
  • 2. Data Types Quiz.html (0.1 KB)
  • 5. Variables Quiz.html (0.1 KB)
  • 6. Assigning values to variables.html (0.1 KB)
  • 1. Data Types in Python.srt (18.3 KB)
  • 3. Variables.srt (7.5 KB)
  • 4. Variable Names.srt (4.2 KB)
  • 1. Data Types in Python.mp4 (124.3 MB)
  • 3. Variables.mp4 (46.0 MB)
  • 4. Variable Names.mp4 (21.0 MB)
14. Functions
  • 1. Functions in Python.srt (39.6 KB)
  • 2. Functions.html (0.1 KB)
  • 3. Functions Exercise 1.html (0.1 KB)
  • 4. Functions Exercise 2.html (0.1 KB)
  • 5. Functions Exercise 3.html (0.1 KB)
  • 1. Functions in Python.mp4 (204.7 MB)
15. Object Oriented Programming
  • 1. OOP Classes and Objects in Python.srt (33.4 KB)
  • 8. Error Handling in Python.srt (22.2 KB)
  • 5. Inheritance in Python.srt (18.1 KB)
  • 2. Classes & Objects.html (0.1 KB)
  • 3. Cl

Description


Description

Welcome to the Full Python Programming Course For Beginners! [ Less talk MORE code ]

By the end of this course you’ll be to do any sort of Advanced Level Python Programming and the same applies even if you are a complete beginner. This course is designed for beginners to become Advanced level Programmers step by step. This course is divided into three sections on the basis of levels :

Beginner Level,
Intermediate Level and
Advanced Level

In the Beginner Level we will cover all the basic programming concepts of Python Programming so that you know what is where for which reason and also understand :

What is Programming?
How to Program?
What is Syntax?
Python Programming
Python Data Types

In the Intermediate Level we will get more into the details and learn concepts like :

Decision Control in Python
Creating loops in Python
What are Iterables and Iterations
How to iterate over data types in Python
How to create functions in Python
Object Oriented Programming with Python
Creating Classes and initializing objects in Python
Inheriting Classes in Python
How to Handle Errors in Python
Modules & Packages in Python

By the end of this section, you’ve already mastered Python Programming and jump into any Advanced Level Programming, that’s why

In the Advanced Level we will learn about data science with Python and you’ll be able to perform :

Importing Data
Data Cleansing
Data Processing
Data Analysis
Data Visualization

And at the end you’ll perform 5 Data Science Projects to start working with Data anywhere.

I will ensure EVERYBODY taking this course will be able to perform any Advanced Level programming not Immediately but DEFINITELY

So, see you there!
Who this course is for:

Python
People curious about Python Programming
Beginner at Programming
Beginner Python Developers
Beginner Python Developers Curious about Data Science
Beginner Python Developers Curious about Data Analysis
Beginner Python Developers Curious about Data Visualization

Requirements

Curiosity & Enthusiasm

Last Updated 1/2021



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Udemy - Python Advanced Programming Bootcamp For Beginners

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3.9 GB
seeders:35
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Udemy - Python Advanced Programming Bootcamp For Beginners

Torrent hash: CEF7030F1F76B02BFDEC3EE320AA382FD279C530