๐
TechLearn Python in 8 Weeks
Go from zero to writing real Python scripts, automations, and a small data project in 8 focused weeks.
8 weeks5-7 hours/wkbeginner
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๐ฏ Goal
Become confident writing real Python programs and a small data project in 8 weeks.
๐ง Skill Breakdown
- Python syntax & data types
- Control flow & functions
- Files & APIs
- Data with pandas
- Practical project building
๐ Curriculum Plan
Week 1: Setup & Syntax
- Objective: Install Python, run your first scripts.
- Practical Tasks:
- Install Python + VS Code
- Write 5 micro-scripts
- Solve 10 easy exercises
- Expected Outcome: Comfortable with print, variables, basic types.
Week 2: Control flow
- Objective: if/else, loops, list comprehensions.
- Practical Tasks:
- FizzBuzz
- Number guessing game
- Word counter
- Expected Outcome: Can solve small logic problems.
Week 3: Functions & modules
- Objective: Reusable code blocks.
- Practical Tasks:
- Refactor week 2 code
- Write a calculator module
- Unit-test 3 functions
- Expected Outcome: Comfortable composing functions.
Week 4: Files & errors
- Objective: Read/write files, handle exceptions.
- Practical Tasks:
- CSV reader
- Log parser
- Try/except patterns
- Expected Outcome: Robust I/O handling.
Week 5: APIs & JSON
- Objective: Talk to the web with requests.
- Practical Tasks:
- Hit a public API
- Save responses to disk
- Build a tiny weather CLI
- Expected Outcome: Comfortable with HTTP + JSON.
Week 6: Data with pandas
- Objective: Load, clean, summarize tabular data.
- Practical Tasks:
- Load a public CSV
- Group/aggregate
- Plot 2 charts
- Expected Outcome: Basic data analysis.
Week 7: Mini-project sprint
- Objective: Pick a real problem.
- Practical Tasks:
- Define scope
- Build core feature
- Polish + README
- Expected Outcome: Working portfolio-ready script.
Week 8: Polish & next steps
- Objective: Document, share, plan what's next.
- Practical Tasks:
- Push to GitHub
- Write a short post
- Plan next 8 weeks
- Expected Outcome: Public proof of skill.
๐ Final Project
Build a small data tool: scrape or fetch a dataset, clean it with pandas, and produce a chart + 1-page insights write-up. Publish on GitHub with a clear README.
๐ Books & Long-Form Reading
- A canonical book or course in this field
๐ฅ Communities to Join
- Active subreddit, Discord or forum for this topic
๐ Progress Tracking
- Weekly self-check questions and a clear "ready to move on" criterion
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