4.27 out of 5
4.27
218 reviews on Udemy

Python Programming Bible: Hands-On Python 3 with 10 Projects

Get a Solid Foundation of Python 3, Learn Python for Data Science, AI, Machine Learning, GUI and More...
Instructor:
Vijay Gadhave
1,666 students enrolled
English [Auto]
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
NumPy Array, NumPy Operations
DataFrames, Pandas Series, Pandas Matrix
Write your own Decorators and higher order functions
Create your own Generators and other Iterators
Build Games with Python
Error and Exceptions Handling
Write your own Custom Modules

Hello Everyone, Welcome to “Python Programming Bible: Hands-On Python 3 with 10 Projects”

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 !

Welcome to Course !

1
Introduction of Python Programming Language
2
Updates on Udemy Reviews

Python Setup

1
Installation of Python

Python Basics

1
Beginning to Code
2
Variables

Data Types in Python

1
Data Types Introduction
2
Numbers
3
Strings Part 1
4
Strings Part 2
5
Strings Part 3
6
Strings Part 4
7
Lists
8
Dictionaries
9
Tuples
10
Sets
11
Booleans

File Handling Basics, Operators and Build in Functions

1
File Handling Basics Part 1
2
File Handling Basics Part 2
3
Comparison Operators
4
Logical Operators
5
Built in Functions

Statements, Loops and List Comprehensions

1
If, Elif and Else Statements
2
For loop
3
While loop
4
Useful functions in Python
5
List Comprehensions

Functions and Lambda Expressions

1
Functions Part 1
2
Functions Part 2
3
Map, Filter and Lambda Expressions
4
Scope of Variables in Python

Object Oriented Programming (OOP)

1
Object Oriented Programming Introduction
2
Class and Attributes
3
Methods
4
Inheritance
5
Polymorphism
6
Abstract Classes

Data Analysis with Numpy

1
NumPy Introduction
2
NumPy Arrays
3
NumPy Arrays : Indexing and Selection
4
NumPy Operations

Data Analysis with Pandas

1
Pandas Introduction
2
Pandas Series
3
DataFrames Part 1
4
DataFrames Part 2
5
Multi-index and index hierarchy
6
Working with Missing Data
7
Groupby Function
8
Merging, Joining and Concatenating DataFrames
9
Pandas Operations
10
Reading and Writing Files

Data Visualization with Matplotlib

1
Matplotlib Introduction
2
Matplotlib Part 1
3
Matplotlib Part 2
4
Matplotlib Part 3
5
Matplotlib Part 4
6
Matplotlib Part 5
7
Matplotlib Part 6
8
Matplotlib Part 7
9
Matplotlib Part 8
10
Matplotlib Part 9
11
Matplotlib Part 10

Modules and Packages

1
Pip Install
2
Modules and Packages
3
__name__ and __main__

Errors and Exception Handling

1
Syntax Errors
2
Runtime Errors
3
Exception Handling

Decorators

1
Decorators

Generators

1
Generators
2
Next and Iter Function

Regular Expressions

1
Regular Expressions Part 1
2
Regular Expressions Part 2

Graphical User Interface in Python

1
GUI Introduction
2
GUI Part 1
3
GUI Part 2
4
GUI Part 3
5
GUI Part 4
6
GUI Part 5
7
GUI Part 6
8
GUI Part 7
9
GUI Part 8
10
GUI Part 9
11
GUI Part 10
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Includes

14 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion