Data Science by Python

Our student notes PDF is ready! Here's what's packed inside across 7 color-coded chapters:

ChapterColorContents1 — Python Fundamentals 🟦 NavyData types, control flow, functions, OOP2 — NumPy 🟩 GreenArrays, indexing, broadcasting, linear algebra3 — Pandas 🟧 OrangeDataFrames, cleaning, GroupBy, merge, pivot4 — Matplotlib 🟪 PurplePlot types, subplots, Seaborn, styling5 — PyTorch 🟥 RedTensors, autograd, nn.Module, training loop, CNNs6 — Automation 🩵 TealFiles, Excel, scraping, email, APIs, scheduling 7—Cheat Sheets 🩷 PinkQuick references and all key formulas

Every section includes color-highlighted definitions, formula boxes, solved code examples with outputs, tips & notes, and a complete end-to-end data pipeline as a bonus.