Data Science Practice Lab 📊

Last updated: 2025-09-20 (UTC+8)
Tracking my progress in Python, pandas, and data science via FreeCodeCamp, Kaggle, and mini projects.

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📂 Structure

• freecodecamp-python/ — notebooks / scripts / modules
• kaggle-pandas/ — Kaggle Pandas course work (exercises)
• logs/ — weekly logs (ISO week, e.g. 2025-W38.md)
• tips/— quick tips & cheatsheets (copy-pasteable) → see tips.md

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Status — Kaggle 1/6 · FreeCodeCamp 12/12

Kaggle — Pandas (Exercises Only) (1/6 - updated 2025-09-20, UTC+8)

Scope: Exercises 1–6 from Kaggle’s Pandas course
Next up: Exercise 2 — Indexing, Selecting & Assigning

Folder: kaggle-pandas/notebooks

• Exercise 1: Creating, Reading & Writing
• Exercise 2: Indexing, Selecting & Assigning
• Exercise 3: Summary Functions & Maps
• Exercise 4: Grouping & Sorting
• Exercise 5: Data Types & Missing Values
• Exercise 6: Renaming & Combining

FreeCodeCamp — Python Refresher 📝 (12/12)

Contains my practice notebooks following freeCodeCamp’s 4.5-hour tutorial from the freeCodeCamp 4.5-hour Python refresher course.
Revisiting Python fundamentals while keeping a clean record of practice code.

Open the folder: freecodecamp-python/

Notebooks

• 01 Basic Calculator & Mad Libs
• 02 Tips, Lists, Tuples
• 03 Functions, Return, If/Comparisons, Better Calculator
• 04 Dictionaries
• 05 While/For Loops & Exponent Function
• 06 2D Lists & Nested Loops
• 07 Try/Except
• 08 File Reading
• 09 File Writing & Appending
• 10 Modules & pip
• 11 Classes & Objects
• 12 Multiple Choice Quiz

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🔗 Quick Links

• FreeCodeCamp Python Refresher Notes
• FreeCodeCamp folder
• Kaggle Pandas folder
• Tips

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🗒️ How I log (weekly)

• Files in ./logs/ named YYYY-Www.md (ISO week), e.g. 2025-W38.md
• Each log covers: Focus / Time / Done / Learned / Issues / Next / Artifacts
• Logs (Weekly)

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🛠️ Run locally

# from repo root
python -m venv .venv
.\.venv\Scripts\python -m pip install -U pip
.\.venv\Scripts\pip install -r requirements.txt