1. Learn Python Basics
Start with:
- Variables
- Loops
- Conditions
- Functions
- Lists, Sets, Dictionaries
- File handling
These basics give you a strong foundation.
2. Explore Python Libraries
Learn important libraries based on your interest:
- NumPy
- Pandas
- Matplotlib
- Requests
- BeautifulSoup
They make your work faster and easier.
3. Choose a Career Path in Python
Python has many paths:
Web Development
Learn Django or Flask.
Data Science
Learn NumPy, Pandas, Matplotlib, Scikit-Learn.
Machine Learning / AI
Learn TensorFlow, PyTorch, NLP libraries.
Automation / Scripting
Use Python to automate daily tasks.
Cybersecurity
Use Python for penetration testing tools.
4. Work With Databases
Learn SQL or MongoDB to store and manage data.
5. Build Projects
Examples:
- To-do app
- Weather app
- Automation script
- Web scraper
- Machine learning model
Projects prove your skill.
6. Git & GitHub
Upload your projects so recruiters can see your work.
Conclusion
Python opens doors to many career opportunities. Follow this roadmap consistently, build projects, and choose your specialization.
