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.me/pythonfreebootcamp/177
-
t.me/pythonspecialist/90
3. Books & Notes
-
https://t.me/dsabooks/99
-
https://t.me/dsabooks/101
4. Python Interview Preparation
-
https://t.me/PythonInterviews
-
t.me/DataAnalystInterview/63
Join
@free4unow_backup for more Python resources.
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ENJOY LEARNING 👍👍