Python Programming Bible: Hands-On Python 3 with 10 Projects (Updated)

Python Programming Bible: Hands-On Python 3 with 10 Projects (Updated)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.77 GB
Genre: eLearning Video | Duration: 107 lectures (13 hours, 51 mins) | Language: English

Get a Solid Foundation of Python 3, Learn Python for Data Science, AI, Machine Learning, 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
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

Requirements

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

Description

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 !

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