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Python Developer Roadmap

Master Python — the language that opens doors to web dev, data science, AI, automation, and more. Python is the #1 language taught in Indian colleges and the most in-demand skill on Naukri.

4-6 months3-7 LPA → 20-45 LPA expected9 steps • 32 free resources
1

Python Fundamentals

3-4 weeks

Start from zero. Variables, data types, loops, functions, and how to think like a programmer. Python's clean syntax makes it perfect for beginners.

By the end, you'll be able to

  • Write Python programs using variables, loops, and functions
  • Work with lists, dictionaries, sets, and tuples
  • Handle files, exceptions, and user input
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Mini-project

Build a personal expense tracker: add expenses, categorize them, generate monthly reports, and save to CSV.

2

Object-Oriented Python

2-3 weeks

Learn OOP in Python: classes, inheritance, encapsulation, and how to design clean, reusable code structures.

By the end, you'll be able to

  • Design classes with proper encapsulation
  • Use inheritance and composition effectively
  • Write Pythonic code using dunder methods and decorators
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Mini-project

Build a library management system with classes for books, members, and transactions. Add search, lending rules, and late fee calculation.

3

Web Development with Django/Flask

4-5 weeks

Build web applications. Django is the full-featured choice, Flask for lightweight APIs. Most Indian startups use one of these.

By the end, you'll be able to

  • Build full web applications with Django or Flask
  • Work with templates, forms, and database models
  • Implement user authentication and authorization
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Mini-project

Build a blog platform with Django: user auth, posts, comments, categories, search, and an admin panel.

4

Databases & ORMs

2-3 weeks

Connect Python to databases. Learn SQLAlchemy or Django ORM, raw SQL, and how to design efficient schemas.

By the end, you'll be able to

  • Use Django ORM or SQLAlchemy fluently
  • Design database schemas from requirements
  • Optimize queries and understand database indexing
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Mini-project

Build an e-commerce database: products, users, orders, reviews. Write complex queries for analytics.

5

APIs & REST

2-3 weeks

Build and consume APIs. Learn Django REST Framework or FastAPI, serialization, authentication, and API documentation.

By the end, you'll be able to

  • Build REST APIs with proper endpoints and validation
  • Implement token-based authentication
  • Document APIs with Swagger/OpenAPI
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Mini-project

Build a REST API for a social media app: users, posts, likes, follows, feed. Add JWT auth and Swagger docs.

6

Python for Automation & Scripting

2-3 weeks

Python shines at automation. Web scraping, file processing, email automation, Excel manipulation — automate the boring stuff.

By the end, you'll be able to

  • Automate repetitive tasks with Python scripts
  • Scrape websites with BeautifulSoup and Selenium
  • Process files, PDFs, and spreadsheets programmatically
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Mini-project

Build 5 automation scripts: scrape job listings from Naukri, auto-generate reports from Excel, bulk rename files, send personalized emails, and monitor website changes.

7

Testing & Code Quality

1-2 weeks

Write tests, follow PEP 8, use type hints, and set up linting. Professional Python code needs more than just working — it needs to be maintainable.

By the end, you'll be able to

  • Write unit tests with pytest
  • Use type hints and static analysis tools
  • Follow PEP 8 and set up pre-commit hooks
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Mini-project

Add a full test suite to your Django project. Aim for 80% coverage. Set up CI with GitHub Actions.

8

Deployment & DevOps

2-3 weeks

Ship Python apps. Learn Docker, CI/CD, cloud deployment, and monitoring for production Python applications.

By the end, you'll be able to

  • Containerize Python apps with Docker
  • Deploy to AWS/Heroku/Railway
  • Set up CI/CD pipelines for automated deployment
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Mini-project

Deploy your Django app with Docker, PostgreSQL, Nginx, and GitHub Actions CI/CD to AWS or Railway.

9

Data Science & AI with Python

3-4 weeks

Explore Python's superpower: data. Learn pandas, numpy, matplotlib, and get a taste of machine learning to make yourself more versatile.

By the end, you'll be able to

  • Analyze data with pandas and numpy
  • Create visualizations with matplotlib and seaborn
  • Build basic ML models with scikit-learn
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Mini-project

Analyze a real dataset (IPL stats, IMDB movies, or Indian census). Clean data, visualize insights, and build a prediction model.

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Pick the path that fits you

Not sure if this is the right roadmap? Browse all our career paths and find the one that matches your goals.