Udemy - Python Programming Bible: Hands on Python 3 with 10 Projects [Course Drive]

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Python Programming Bible Hands on Python 3 with 10 Projects Python Programming Bible Hands on Python 3 with 10 Projects 14. Decorators
  • 1. Decorators.mp4 (205.4 MB)
  • 1. Decorators.vtt (17.3 KB)
  • ReadMe.txt (0.5 KB)
  • Visit Coursedrive.org.url (0.1 KB)
  • 1. Welcome to Course !
    • 1. Introduction of Python Programming Language.mp4 (76.8 MB)
    • 1. Introduction of Python Programming Language.vtt (4.6 KB)
    • 2. Updates on Udemy Reviews.mp4 (33.5 MB)
    • 2. Updates on Udemy Reviews.vtt (2.2 KB)
    • Must Read.txt (0.5 KB)
    • Visit Coursedrive.org.url (0.1 KB)
    2. Python Setup
    • 1. Installation of Python.mp4 (66.8 MB)
    • 1. Installation of Python.vtt (5.3 KB)
    3. Python Basics
    • 1. Beginning to Code.mp4 (31.3 MB)
    • 1. Beginning to Code.vtt (3.9 KB)
    • 2. Variables.mp4 (106.5 MB)
    • 2. Variables.vtt (8.5 KB)
    4. Data Types in Python
    • 1. Data Types Introduction.mp4 (23.7 MB)
    • 1. Data Types Introduction.vtt (1.3 KB)
    • 2. Numbers.mp4 (45.9 MB)
    • 2. Numbers.vtt (4.8 KB)
    • 3. Strings Part 1.mp4 (67.1 MB)
    • 3. Strings Part 1.vtt (5.5 KB)
    • 4. Strings Part 2.mp4 (46.3 MB)
    • 4. Strings Part 2.vtt (4.4 KB)
    • 5. Strings Part 3.mp4 (45.2 MB)
    • 5. Strings Part 3.vtt (4.0 KB)
    • 6. Strings Part 4.mp4 (103.8 MB)
    • 6. Strings Part 4.vtt (8.1 KB)
    • 7. Lists.mp4 (108.6 MB)
    • 7. Lists.vtt (8.6 KB)
    • 8. Dictionaries.mp4 (123.0 MB)
    • 8. Dictionaries.vtt (9.3 KB)
    • 9. Tuples.mp4 (62.1 MB)
    • 9. Tuples.vtt (4.5 KB)
    • 10. Sets.mp4 (30.0 MB)
    • 10. Sets.vtt (2.2 KB)
    • 11. Booleans.mp4 (17.9 MB)
    • 11. Booleans.vtt (1.7 KB)
    5. File Handling Basics, Operators and Build in Functions
    • 1. File Handling Basics Part 1.mp4 (66.6 MB)
    • 1. File Handling Basics Part 1.vtt (7.8 KB)
    • 2. File Handling Basics Part 2.mp4 (63.9 MB)
    • 2. File Handling Basics Part 2.vtt (4.7 KB)
    • 3. Comparison Operators.mp4 (41.5 MB)
    • 3. Comparison Operators.vtt (4.5 KB)
    • 4. Logical Operators.mp4 (38.7 MB)
    • 4. Logical Operators.vtt (4.1 KB)
    • 5. Built in Functions.mp4 (36.7 MB)
    • 5. Built in Functions.vtt (3.1 KB)
    6. Statements, Loops and List Comprehensions
    • 1. If, Elif and Else Statements.mp4 (82.9 MB)
    • 1. If, Elif and Else Statements.vtt (5.5 KB)
    • 2. For loop.mp4 (158.1 MB)
    • 2. For loop.vtt (12.9 KB)
    • 3. While loop.mp4 (90.5 MB)
    • 3. While loop.vtt (9.0 KB)
    • 4. Useful functions in Python.mp4 (151.9 MB)
    • 4. Useful functions in Python.vtt (13.8 KB)
    • 5. List Comprehensions.mp4 (64.7 MB)
    7. Functions and Lambda Expressions
    • 1. Functions Part 1.mp4 (178.5 MB)
    • 1. Functions Part 1.vtt (15.7 KB)
    • 2. Functions Part 2.mp4 (110.0 MB)
    • 2. Functions Part 2.vtt (10.4 KB)
    • 3. Map, Filter and Lambda Expressions.mp4 (102.4 MB)
    • 3. Map, Filter and Lambda Expressions.vtt (9.3 KB)
    • 4. Scope of Variables in Python.mp4 (79.2 MB)
    • 4. Scope of Variables in Python.vtt (8.3 KB)
    8. Object Oriented Programming (OOP)
    • 1. Object Oriented Programming Introduction.mp4 (29.3 MB)
    • 1. Object Oriented Programming Introduction.vtt (1.6 KB)
    • 2. Class and Attributes.mp4 (79.7 MB)
    • 2. Class and Attributes.vtt (9.1 KB)
    • 3. Methods.mp4 (74.1 MB)
    • 3. Methods.vtt (7.0 KB)
    • 4. Inheritance.mp4 (72.0 MB)
    • 4. Inheritance.vtt (6.3 KB)
    • 5. Polymorphism and Abstract Class.mp4 (138.1 MB)
    • 5. Polymorphism and Abstract Class.vtt (11.7 KB)
    • 6. Special Methods.mp4 (91.2 MB)
    • 6. Special Methods.vtt (7.4 KB)
    9. Data Analysis with Numpy
    • 1. NumPy Introduction.mp4 (26.6 MB)
    • 1. NumPy Introduction.vtt (1.4 KB)
    • 2. NumPy Arrays.mp4 (138.1 MB)
    • 2. NumPy Arrays.vtt (14.1 KB)
    • 3. NumPy Arrays Indexing and Selection.mp4 (96.4 MB)
    • 3. NumPy Arrays Indexing and Selection.vtt (9.9 KB)
    • 4. NumPy Operations.mp4 (32.2 MB)
    • 4. NumPy Operations.vtt (3.6 KB)
    10. Data Analysis with Pandas
    • 1. Pandas Introduction.mp4 (17.5 MB)
    • 1. Pandas Introduction.vtt (1.0 KB)
    • 2. Pandas Series.mp4 (87.6 MB)
    • 2. Pandas Series.vtt (9.2 KB)
    • 3. DataFrames Part 1.mp4 (113.1 MB)
    • 3. DataFrames Part 1.vtt (9.7 KB)
    • 4. DataFrames Part 2.mp4 (133.2 MB)
    • 4. DataFrames Part 2.vtt (11.6 KB)
    • 5. Multi-index and index hierarchy.mp4 (77.1 MB)
    • 5. Multi-index and index hierarchy.vtt (6.6 KB)
    • 6. Working with Missing Data.mp4 (42.4 MB)
    • 6. Working with Missing Data.vtt (5.0 KB)
    • 7. Groupby Function.mp4 (75.3 MB)
    • 7. Groupby Function.vtt (5.3 KB)
    • 8. Merging, Joining and Concatenating DataFrames.mp4 (54.1 MB)
    • 8. Merging, Joining and Concatenating DataFrames.vtt (4.6 KB)
    • 9. Pandas Operations.mp4 (71.1 MB)
    • 9. Pandas Operations.vtt (5.8 KB)
    • 10. Reading and Writing Files.mp4 (83.1 MB)
    • 10. Reading and Writing Files.vtt (7.1 KB)
    • ReadMe.txt (0.5 KB)
    • Visit Coursedrive.org.url (0.1 KB)
    11. Data Visualization with Matplotlib
    • 1. Matplotlib Part 1.mp4 (24.8 MB)
    • Description

      ⚡️⚡️For More Udemy Courses Visit ?? Course Drive


      Python Programming Bible: Hands on Python 3 with 10 Projects

      This is Python For Beginners Course, Build 10 Projects, Use it for Data Science, Machine Learning, IoT, AI, GUI and More






      What you'll learn

      • Complete Understanding of Python from Scratch
      • CREATE your own Programs and Applications
      • Python for Data Science and Machine Learning
      • If-else statement, For loop and While loop
      • Functions and Lambdas Expressions
      • Master Object Oriented Programming (OOP) in Python 3
      • Graphical User Interface (GUI) in Python
      • Data Analysis with NumPy
      • Data Analysis with Pandas
      • Matplotlib for Data Visualization

      Requirements

      • Access to a Computer with an Internet Connection
      • No Prior Knowledge or Experience Needed, Only a Passion to Learn

      Description

      Hello Beautiful People there,
      Be a Professional Python Programmer and Learn the Most Demanding Skill in the Job Market
      This is the most comprehensive, straight-forward and fun project-based course
      With this Mega course you will Go from Beginner to Expert in Python 3

      Master Python 3 by Building 10 Projects,
      1) Create a Text Editor like Notepad++
      2) Encryption Decryption using Python
      3) Number Guessing Game
      4) Simple Calculator
      5) Making a Deck of Playing Cards
      6) Rock, Paper, Scissors Game
      7) Validation of Password
      8) Conversion of Numbers in Binary, Octal and Hexadecimal
      9) Removing Vowels
      10) Speech Recognition System

      We will Cover a Wide Variety of Topics Including,
      1) Data Structures in Python
      2) File Handling Basics, Operators and Built in functions in Python
      3) Statements and Loops
      4) Functions and Lambda Expressions
      5) Object Oriented Programming
      6) NumPy : NumPy array, Indexing and Selection, NumPy Operations
      7) Pandas : DataFrames, Series, Matrix, Working on missing data, Reading and Writing files
      8) Matplotlib : Data Visualization, Plotting different graphs
      9) Modules and Packages
      10) Errors and Exceptions Handling
      11) Decorators and Generators
      12) Regular Expressions
      13) Graphical User Interface (GUI) in Python, and More...

      Learn Python to advance your Career and increase your knowledge in a fun and practical way !

      Who this course is for:

      • Beginners who have Never Programmed in Python Before
      • Data Science, AI & Web Development Aspirants who want to start with Python
      • Programmers Switching to Python



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Udemy - Python Programming Bible: Hands on Python 3 with 10 Projects [Course Drive]


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Udemy - Python Programming Bible: Hands on Python 3 with 10 Projects [Course Drive]


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