Udemy - Python Advanced Programming Bootcamp For Beginners
- Category Other
- Type Tutorials
- Language English
- Total size 3.9 GB
- Uploaded By tutsnode
- Downloads 395
- Last checked 1 month ago
- Date uploaded 5 years ago
- Seeders 15
- Leechers 4
Infohash : CEF7030F1F76B02BFDEC3EE320AA382FD279C530
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
Files:
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)
- 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)
- 2. Workbook 2.html (0.3 KB)
- 1. Intermediate Level Test.html (0.1 KB)
- 2.1 WorkBook (Intermediate).pdf (19.7 MB)
- 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)
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- 6. callable( ).srt (0.9 KB)
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- 20. id( ).srt (1.8 KB)
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- 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)
- 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 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)
- 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)
- 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. Classes & Objects Exercise 1.html (0.1 KB)
- 4. Classes & Objects Exercise 2.html (0.1 KB)
- 6. Inheritance.html (0.1 KB)
- 7. Inheritance.html (0.1 KB)
- 9. Error Handling.html (0.1 KB)
- 10. Error Handling.html (0.1 KB)
- 1. OOP Classes and Objects in Python.mp4 (207.9 MB)
- 8. Error Handling in Python.mp4 (141.6 MB)
- 5. Inheritance in Python.mp4 (129.5 MB)
- 1. Decision Control using if statements.srt (24.7 KB)
- 2. if statements.html (0.1 KB)
- 3. If statements Exercise - 1.html (0.1 KB)
- 4. If statements Exercise - 2.html (0.1 KB)
- 5. If statements Exercise - 3.html (0.1 KB)
- 1. Decision Control using if statements.mp4 (119.8 MB)
- 2. Python Strings.html (0.1 KB)
- 3. Strings.html (0.1 KB)
- 5. Strings Slicing and indicing.html (0.1 KB)
- 6. String Slicing.html (0.1 KB)
- 8. String built-in functions.html (0.1 KB)
- 9. String built-in functions.html (0.1 KB)
- 1. Python Strings.srt (7.0 KB)
- 7. String Built-in Functions.srt (4.6 KB)
- 4. Extracting values from strings Strings Slicing & Indicing.srt (3.4 KB)
- 1. Python Strings.mp4 (29.1 MB)
- 7. String Built-in Functions.mp4 (23.6 MB)
- 4. Extracting values from strings Strings Slicing & Indicing.mp4 (16.2 MB)
- 9. Data Processing and Analysis with Pandas Library.srt (22.4 KB)
- 5. Data Processing with NumPy Package.srt (13.3 KB)
- 3. Jupyter Notebook.srt (7.6 KB)
- 1. Data Science with Python.srt (4.1 KB)
- 2. Anaconda.srt (2.9 KB)
- 14. Data Visualization with Matplotlib Library.srt (2.9 KB)
- 4. Jupyter Notebook.html (0.1 KB)
- 6. NumPy Package.html (0.1 KB)
- 7. NumPy Slicing.html (0.1 KB)
- 8. NumPy.html (0.1 KB)
- 10. Pandas Series.html (0.1 KB)
- 11. Pandas DataFrames.html (0.1 KB)
- 12. Pandas Slicing.html (0.1 KB)
- 13. Pandas.html (0.1 KB)
- 15. Matplotlib.html (0.1 KB)
- 2.1 Anaconda Installer.html (0.1 KB)
- 9. Data Processing and Analysis with Pandas Library.mp4 (107.7 MB)
- 1. Data Science with Python.mp4 (57.7 MB)
- 5. Data Processing with NumPy Package.mp4 (54.9 MB)
- 2. Anaconda.mp4 (38.9 MB)
- 3. Jupyter Notebook.mp4 (31.2 MB)
- 14. Data Visualization with Matplotlib Library.mp4 (18.0 MB)
- 1. Creating files in PyCharm.srt (16.0 KB)
- 2. Editing the themes & color schemes.srt (12.7 KB)
- 5. Executing Python programs.srt (10.7 KB)
- 4. Keymapping shortcuts.srt (7.7 KB)
- 3. Themes & Color Schemes.html (0.9 KB)
- 2.1 Theme Store.html (0.4 KB)
- 5.1 Windows Terminal [Microsoft Store].html (0.1 KB)
- 1. Creating files in PyCharm.mp4 (108.2 MB)
- 2. Editing the themes & color schemes.mp4 (107.2 MB)
- 5. Executing Python programs.mp4 (82.6 MB)
- 4. Keymapping shortcuts.mp4 (60.1 MB)
- 1. GUI Introduction.srt (14.2 KB)
- 3. Getting input from the user.srt (12.2 KB)
- 2. Creating Buttons.srt (8.8 KB)
- 3. Getting input from the user.mp4 (117.5 MB)
- 1. GUI Introduction.mp4 (107.1 MB)
- 2. Creating Buttons.mp4 (76.8 MB)
- 2. Numbers in Python.html (0.1 KB)
- 4. Numeric Functions.html (0.1 KB)
- 5. Numbers in Python.html (0.1 KB)
- 1. Numbers in Python.srt (5.1 KB)
- 3. Numeric Functions.srt (4.7 KB)
- 1. Numbers in Python.mp4 (27.3 MB)
- 3. Numeric Functions.mp4 (21.7 MB)
- 1. Creating loops using while statements.srt (13.3 KB)
- 2. While loops.html (0.1 KB)
- 3. While loops.html (0.1 KB)
- 1. Creating loops using while statements.mp4 (70.1 MB)
- 2. Python Booleans.html (0.1 KB)
- 3. Bools.html (0.1 KB)
- 1. Python Booleans.srt (5.2 KB)
- 1. Python Booleans.mp4 (25.6 MB)
- 1. Python Lists.html (0.1 KB)
- 3. Unpacking lists.html (0.1 KB)
- 5. List Built-in Functions.html (0.1 KB)
- 6. List Built-in Functions.html (0.1 KB)
- 4. List Built-in Functions.srt (6.1 KB)
- 2. Python Lists.srt (4.5 KB)
- 4. List Built-in Functions.mp4 (32.8 MB)
- 2. Python Lists.mp4 (26.6 MB)
- 1. Iterating over data-types using for loops.srt (10.4 KB)
- 2. for Loops.html (0.1 KB)
- 3. for loops Exercise - 1.html (0.1 KB)
- 4. for loops Exercise - 2.html (0.1 KB)
- 5. for loops Exercise - 3.html (0.1 KB)
- 1. Iterating over data-types using for loops.mp4 (60.5 MB)
- 2. Python Tuples.html (0.1 KB)
- 3. Tuples.html (0.1 KB)
- 5. Tuple Operations and Tuple Built-in Funcitons.html (0.1 KB)
- 6. Tuple Operations.html (0.1 KB)
- 1. Python Tuples.srt (5.7 KB)
- 4. Tuple Operations and Tuple Built-in Funcitons.srt (3.8 KB)
- 1. Python Tuples.mp4 (31.5 MB)
- 4. Tuple Operations and Tuple Built-in Funcitons.mp4 (20.6 MB)
- 2. Python Sets.html (0.1 KB)
- 3. Sets.html (0.1 KB)
- 5. Sets Built-in Functions.html (0.1 KB)
- 6. Sets Built-in Functions.html (0.1 KB)
- 8. Mathematical Sets Operations.html (0.1 KB)
- 9. Sets Mathematical Operations.html (0.1 KB)
- 1. Pythons Sets.srt (3.8 KB)
- 4. Sets Built-in Functions.srt (3.1 KB)
- 7. Mathematical Sets Operations.srt (3.1 KB)
- 7. Mathematical Sets Operations.mp4 (21.8 MB)
- 1. Pythons Sets.mp4 (21.0 MB)
- 4. Sets Built-in Functions.mp4 (18.5 MB)
- 2. Python Dictionaries.html (0.1 KB)
- 3. Dictionaries.html (0.1 KB)
- 5. Dictionary Built-in Functions.html (0.1 KB)
- 6. Dictionary Built-in Functions.html (0.1 KB)
- 1. Python Dictionaries.srt (3.7 KB)
- 4. Dictionary Built-in Functions.srt (3.5 KB)
- 1. Python Dictionaries.mp4 (20.8 MB)
- 4. Dictionary Built-in Functions.mp4 (20.1 MB)
- 1. Beginner Level Test.html (0.1 KB)
- 2. Workbook 1.html (0.3 KB)
- 2.1 WorkBook ( Beginner ).pdf (4.2 MB)
- 2. Workbook 3.html (0.3 KB)
- 1. Advanced Level Test.html (0.1 KB)
- 2.1 WorkBook (Advanced).pdf (4.7 MB)
- TutsNode.com.txt (0.1 KB)
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