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Complete Python Roadmap 🐍👇

1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler

2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators

3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements

4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries

5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions

6. File Handling
- Reading from and Writing to Files
- Handling Exceptions

7. Modules and Packages
- Importing Modules
- Creating Packages

8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction

9. Error Handling
- Try, Except Blocks
- Custom Exceptions

10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module

11. Decorators and Generators
- Function Decorators
- Generator Functions

12. Working with APIs
- Making HTTP Requests
- JSON Handling

13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations

14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates

15. Asynchronous Programming
- Async/Await
- Asyncio Library

16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)

17. Pythonic Code
- PEP 8 Style Guide
- Code Readability

18. Version Control (Git)
- Basic Commands
- Collaborative Development

19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib

20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation

21. Web Scraping
- BeautifulSoup
- Scrapy

22. RESTful API Development
- Flask/Django Rest Framework

23. CI/CD Basics
- Continuous Integration
- Continuous Deployment

24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)

25. Security Best Practices
- Input Validation
- Handling Sensitive Data

26. Code Documentation
- Docstrings
- Generating Documentation

27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences

Resources to Learn Python:

1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/

2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90

3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101

4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63

Join @free4unow_backup for more Python resources.

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Data Structure in Python

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Python list

Python TensorFlow Roadmap

Stage 1 - Learn Python basics
Stage 2 - Understand ML concepts
Stage 3 - Install TensorFlow, explore Keras & TensorBoard
Stage 4 - Build simple models (regression/classification)
Stage 5 - Learn tensors & computational graphs
Stage 6 - Train deep models (CNNs/RNNs)
Stage 7 - Optimize with GPU/TPU
Stage 8 - Deploy with TensorFlow Lite/Serving

🏆 – Python TensorFlow Expert

Pandas Functions

Matplotlib Functions

Python Code to remove Image Background
—————————————————————-
from rembg import remove
from PIL import Image

image_path = 'Image Name' ## ---> Change to Image name

output_image = 'ImageNew' ## ---> Change to new name your image

input = Image.open(image_path)

output = remove(input)

output.save(output_image)