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Beyond Basics Python 🐍

An intermediate-to-advanced Python reference repo — 20+ topic folders covering decorators, OOP, closures, memory management, APIs, SQLite, MongoDB, and 50+ practice exercises.

This goes where most Python tutorials stop. Less "how to print hello world", more "how decorators actually work", "what mutable vs immutable means for your code", and "how to build a real CRUD app with both SQL and NoSQL databases."


Table of Contents


Topics Covered

Data Structures & Types

Folder Topic What's Covered
01_basics Fundamentals Data types, object types, Python internals
02_boolean Booleans Truthy/falsy values, boolean logic
Numbers Numbers Precision, math operations, decimal module
String Strings f-strings, formatting, string methods
List Lists Operations, comprehensions, advanced patterns
Dictionary Dictionaries Methods, patterns, dict comprehensions
Tuples Tuples Immutable sequences, unpacking, type checks
set Sets Set theory, operations, deduplication
muteableVsimmutable Mutability Deep dive into mutable vs immutable objects

Control Flow & Functions

Folder Topic What's Covered
10_loops Loops for/while, comprehensions, iteration
10_Conditionals Conditionals if/else, match-case
10_functions Functions args, kwargs, lambdas, default params
bts_in_loops Iterator Protocol How iteration works under the hood

Advanced Python

Folder Topic What's Covered
Decoraters Decorators @timer, @debug, @cache — production-ready patterns
scope_and_clousers Closures & Scope Lexical scope, closure examples, nonlocal
OOP OOP Classes, inheritance, polymorphism, Car and ElectricCar example
Error_handling Error Handling try/except, custom exceptions, real project
inner-working Memory & Internals Memory management, reference counting, execution model

Real-World

Folder Topic What's Covered
Api_handling API Integration requests, JSON parsing, random user API
youtube_manager YouTube Manager App Full CRUD app — SQLite and MongoDB implementations
practise Practice Exercises 50+ coding challenges across all topics

Quick Start

git clone https://github.com/Wcoder547/beyond-basics-python.git
cd beyond-basics-python
pip install -r requirements.txt   # requests, pymongo

Navigate to any folder and run the script:

cd Decoraters
python decorators.py

No virtual environment required, but recommended:

python -m venv venv
source venv/bin/activate    # Windows: venv\Scripts\activate
pip install -r requirements.txt

Learning Path

Work through topics in this order for the best progression:

Week 1 — Data Structures
  01_basics → Numbers → String → List → Dictionary → Tuples → set → muteableVsimmutable

Week 2 — Control Flow & Functions
  10_loops → 10_Conditionals → 10_functions → bts_in_loops

Week 3 — Advanced Functions
  scope_and_clousers → Decoraters

Week 4 — OOP & Error Handling
  OOP → Error_handling → inner-working

Week 5 — Real-World Applications
  Api_handling → youtube_manager → practise

Already know the basics? Jump straight to Decoraters, scope_and_clousers, or inner-working.


Featured Projects

YouTube Manager (youtube_manager/)

A full CRUD application for managing YouTube video records — built twice:

  • SQLite version — relational, file-based, zero setup
  • MongoDB version — document-based, using pymongo

Great for seeing the same business logic implemented against two completely different database paradigms.

Decorator Library (Decoraters/)

Three production-ready decorators:

  • @timer — measures function execution time
  • @debug — logs function calls with arguments and return values
  • @cache — simple memoization for expensive functions

Practice Exercises (practise/)

50+ exercises spanning all topics. Work through them after each module or use them to test your understanding before moving on.


Tech Stack

Layer Technology
Language Python 3.11+
HTTP requests
Databases SQLite (sqlite3), MongoDB (pymongo)
Utilities functools, time, json, sys

About

Python is easy to get started with and surprisingly deep to master. This repo was built to cover the depth — the parts that make you a better Python developer, not just a Python user: how decorators work as first-class functions, what closures capture and why, how Python's memory model handles mutable objects, and how the iterator protocol powers every for loop you've ever written.

The youtube_manager folder alone is worth cloning the repo for — building the same CRUD app against SQLite and MongoDB side by side makes the tradeoffs between relational and document databases concrete rather than theoretical.

Built by Waseem Akram — Full-Stack Developer and DevOps Engineer based in Pakistan, working across the MERN stack, Generative AI integrations, and cloud automation.


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About

Intermediate-to-advanced Python — decorators, OOP, closures, memory management, APIs, SQLite & MongoDB CRUD, and 50+ practice exercises. Real code, real patterns.

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