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3–6 months

Python Developer Roadmap

From first line of code to job-ready Python developer.

Who this is for: students, freshers and working people who want to write Python for a living, whether that ends up as web back-ends, data work or automation. You need no prior coding, only a laptop that can run Python 3.12+ and about 10–12 hours a week. At that pace most people finish in four to five months.

How to use it: go through the stages in order and do not skip the milestone projects. Each project is the proof that a stage is done. Tick topics off as you go; your ticks are saved in this browser only.

What "job-ready" means here. Interviewers for junior Python roles in India rarely ask about obscure syntax. They ask you to read a short function and say what it returns, to fix a bug in a loop, to explain the difference between a list and a tuple, and to walk through one project you built. If you can explain every line of your three projects, you are ready.

Common mistakes we see:

  • Watching tutorial after tutorial without typing code. Pause every video and rebuild it from memory.
  • Starting Django, pandas and machine learning at the same time. Fundamentals first, then pick one direction in stage 4.
  • Never using Git. A GitHub profile with regular commits is the easiest thing a recruiter can check.
  • Skipping error handling. Real programs read bad files and get bad input; stage 1 covers try/except for that reason.
1

Python fundamentals

4–6 weeks

Write small programs that read input, make decisions and save results to a file. Aim to solve a problem from a blank file without looking anything up, not to memorise every built-in. Set up a virtual environment from day one so later stages feel normal.

  • Variables & types
  • Loops & conditions
  • Functions & modules
  • Files & exceptions
  • Virtual environments & pip

Milestone project: CLI expense tracker saving to CSV

Learn Python on BeeProton →
2

Intermediate Python

3–4 weeks

Learn the features that make code shorter and easier to test. Classes and dataclasses organise data; generators handle large files without running out of memory; pytest gives you the confidence to change code without breaking it.

  • OOP & dataclasses
  • Comprehensions & generators
  • Decorators & context managers
  • Type hints
  • Testing with pytest

Milestone project: Library management system with tests

Learn Python on BeeProton →
3

Tools of the trade

2 weeks

Every team expects these on day one. Commit small changes with clear messages, get comfortable in a terminal, use a debugger instead of print statements, and let a formatter settle style arguments for you.

  • Git & GitHub
  • Linux command line
  • Debugging
  • Code style (ruff, black)

Milestone project: Publish a package to GitHub with README

Learn Git & GitHub on BeeProton →
4

Specialise

4–8 weeks

Pick one direction and go deep: web back-ends with Django or FastAPI, data work with pandas and SQL, or automation with scraping and scheduled scripts. Choose the one that matches the jobs you are applying for.

  • Django or FastAPI
  • Pandas & SQL
  • Web scraping & automation
  • REST APIs

Milestone project: Deploy a web app or automation bot

Learn Django on BeeProton →
5

Job preparation

2–4 weeks

Polish three projects with READMEs and live demos, practise easy and medium problems on lists, dictionaries and strings, and rehearse explaining your own code out loud. Update your LinkedIn and resume with links to the projects.

  • DSA basics
  • Portfolio of 3 projects
  • Interview practice
  • Resume & LinkedIn

Milestone project: Mock interviews on BeeProton Practice