Python - Foundations to Fluency

Week 1 — Hello Python

- Why Python and why now

- Setting up VS Code + Python correctly

- How a program thinks and runs

- Variables, data types, type conversion

- Taking user input and displaying output

- Basic operators — arithmetic, comparison, logical

- String manipulation — slicing, formatting, methods

Week 2 — Logic & Control Flow

- If, elif, else — decision making in code

- Nested conditions and real-world logic

- For loops and while loops — when to use which

- Loop control — break, continue, pass

- Pattern printing and number problems

- Functions — defining, calling, parameters, return values

- Scope of variables — local vs global

Week 3 — Data Structures

- Lists — creation, indexing, slicing, methods

- Tuples — immutability and use cases

- Sets — unique data and set operations

- Dictionaries — key-value pairs, nested dicts

- List comprehensions — writing clean code

- Working with mixed data structures

- Real-world data organisation problems

Week 4 — Object Oriented Programming

- Why OOP exists and when to use it

- Classes and objects from scratch

- Constructors and the self keyword

- Instance vs class variables

- Inheritance — parent and child classes

- Encapsulation and abstraction simplified

- Polymorphism with real examples

- Building a small OOP-based mini system

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Week 5 — File Handling & Error Management

- Reading and writing text files

- Working with CSV and JSON files

- Try, except, finally — handling errors gracefully

- Custom exceptions

- Working with OS and datetime modules

- Logging basics — like a real developer

- Organising code into modules and packages

Week 6 — Data Analysis & Visualisation

- NumPy — arrays, operations, broadcasting

- Pandas — DataFrames, reading files, cleaning data

- Filtering, grouping, sorting real datasets

- Matplotlib — line, bar, pie, scatter plots

- Seaborn — beautiful statistical visuals

- Telling a story with data

- Analysing a real-world dataset end to end

Week 7 — Web & Automation

- Web scraping with BeautifulSoup

- Automating files, emails, and reports

- Flask — routes, templates, forms

- Building and consuming REST APIs

- Connecting Python to external services

- Deploying a simple Flask app live

- Structuring a real-world Python project

Week 8 — Python Meets AI & ML

- How machine learning actually works — no fluff

- Scikit-learn — preprocessing, training, evaluating models

- Linear regression and classification basics

- NLP — tokenisation, sentiment analysis

- Introduction to HuggingFace pipelines

- Using pre-trained models in your own project

- Where to go from here — roadmap for every student

Every Week Includes:

- Surprise Project — hands-on, unique, real-world

- Bonus AI Tool:

- Week 1 → ChatGPT

- Week 2 → Sider

- Week 3 → Canva AI

- Week 4 → Gamma.app

- Week 5 → ElevenLabs

- Week 6 → Claude

- Week 7 → Whimsical

- Week 8 → HuggingFace

Adapts to your level:

Kids & Beginners → Week 1, relaxed pace, focus on logic & fun projects

Teens → Week 1, moderate pace, focus on automation & web

College / Advanced → Fast track from Week 3, focus on AI & real world apps