How To Learn Python İn 30 Days
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Week 1: Fundamentals (days 1-7)
30 days is enough to go from zero Python to writing useful programs, if you actually do the work every day. This is a structured plan — not “watch 50 hours of tutorials.” The goal is to ship code, not to feel studious.
Week 2: Real programs (days 8-14)
Two hours a day, thirty days. If you follow this, you’ll have five real projects and a solid foundation for data, web, or scripting work.
Week 3: Problem-solving (days 15-21)
Days 1-2: install Python (or use Replit), learn variables, types, prints, inputs. Days 3-4: if statements, for/while loops, lists. Days 5-7: functions, dicts, strings. Goal: write small scripts from scratch. Not reading — writing.
Week 4: Projects (days 22-30)
Days 8-9: file I/O, reading and writing text. Days 10-11: modules, pip, using libraries. Days 12-14: build a CLI tool (e.g., a to-do list that reads/writes JSON). Your first real project. Ugly is fine — shipped is what matters.
Tools to install on day 1
Work through 20 easy exercises on LeetCode, Exercism, or Codewars. Goal: fluency with loops, strings, lists, dicts. Stop when you can solve most easy problems in under 15 minutes without help.
What to skip for now
Pick a track: data (pandas + a real CSV), web (FastAPI or Flask), automation (requests + BeautifulSoup). Build 3-4 small projects in that track. This is where you go from “I can write Python” to “I can ship things.”
What to prioritize
Object-oriented programming deep dive, decorators, async, metaclasses, virtual envs beyond basic usage. You can function without these for weeks. They’ll be easier to learn after you’ve written real programs.
Where to learn
Reading and manipulating data. Calling APIs with requests. Writing small CLI tools. Making simple graphs with matplotlib. These are the skills that pay in job interviews and real work.
Stack Overflow is fine
Automate the Boring Stuff (free book), Python docs, YouTube (CoreySchafer, Real Python). Pick one resource and stick with it. Switching sources every week just re-teaches the same intro. Stay linear.
Build in public
Googling errors is a core skill, not cheating. The goal isn’t to memorize syntax — it’s to solve problems. Real engineers Google every day. You should too.
Day 30: what to build next
By day 30, pick a specialization: data science (pandas, scikit-learn, Jupyter), web backend (FastAPI, Postgres), or automation/scripting (CLI tools, integrations). Going deep in one direction beats staying shallow across all.