Python Programming Bible: Hands-On Python 3 with 10 Projects
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Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 14 hours
- Lessons
- 108 lessons
- Certificate
- Available on completion
- Course author
- Vijay Gadhave
-
- Complete Understanding of Python from Scratch
- CREATE your own Programs and Applications
- Data Structures in Python
- File Handling Basics, Operators and Built in functions in Python
- Statements and Loops
- Functions and Lambda Expressions
- Object Oriented Programming
- NumPy array, Indexing and Selection, NumPy Operations
- Pandas DataFrames, Series, Matrix, Working on missing data, Reading and Writing files
- Matplotlib Data Visualization, Plotting different graphs
- Modules and Packages
- Errors and Exceptions Handling
- Decorators and Generators
- Regular Expressions
- Graphical User Interface (GUI) in Python
- Working with different Files
- Working with the Images
- Hash Function, Encryption and Decryption
Description
Welcome to this mega course on Python, We have designed this course to become a professional Python Programmer and to learn the most demanding skill in the job market !
This is a comprehensive, straight-forward and fun project-based course to learn python programming. With this python mega course you will Go from Beginner to Expert in Python 3
Learn Python Programming 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
14) Working with different Files
16) Working with the Images
17) Hash Function, Encryption and Decryption
18) Datetime Module and More !
Learn Python to advance your Career and increase your knowledge in a fun and practical way !
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