👩💻 My 100-Day Python Learning Journey

A public log of my progress through Dr. Angela Yu's 100 Days of Code Bootcamp.
Join me as I tackle daily Python challenges, document my solutions, and learn from mistakes. All code is my own implementation unless noted.

---

📌 Disclaimer & Attribution

This repository documents my personal journey through Dr. Angela Yu's excellent 100 Days of Code: The Complete Python Pro Bootcamp.

• Project ideas/briefs: From the course curriculum
• Code implementations: My original solutions
• Notes/Explanations: My personal understanding
  Not affiliated with/instructors of the original course.

📌 100-Day Roadmap Overview

Phase 1: Core Python (Days 1-30)

Days	Focus Area	Key Topics	Mini-Projects
1-7	Python Fundamentals	Variables, Data Types, Basic I/O	Number Guesser, BMI Calc
8-14	Control Flow	Loops, Conditionals, Error Handling	Password Generator
15-21	Data Structures	Lists, Tuples, Dictionaries, Sets	Todo List Manager
22-30	OOP & File Handling	Classes, Inheritance, CSV/JSON Processing	Student Grade Tracker

Phase 2: Applied Development (Days 31-70)

Days	Focus Area	Key Topics	Projects
31-40	Web & APIs	Flask/Django, REST APIs, Web Scraping	Blog API, Price Tracker
41-50	Data Science	NumPy, Pandas, Matplotlib	Data Visualization Dashboard
51-60	Automation & Scripting	OS Module, Regular Expressions, Selenium	File Organizer, Web Bot
61-70	Databases	SQLite, PostgreSQL, ORMs (SQLAlchemy)	Inventory Management System

Phase 3: Professional Skills (Days 71-100)

Days	Focus Area	Key Topics	Capstone Projects
71-80	Advanced Concepts	Decorators, Generators, Multiprocessing	Parallel Data Processor
81-90	DevOps & Deployment	Docker, CI/CD, AWS Basics	Cloud-Deployed Web App
91-95	Testing & Optimization	pytest, Profiling, Code Refactoring	Performance-Tuned App
96-100	Final Projects	Full-Stack Development	Portfolio Showcase App

🚀 Key Features

• Daily Code Challenges: 100+ exercises with solutions
• Milestone Projects: 15+ substantial projects (Days 30, 50, 75, 100)
• Cheat Sheets: 20+ quick-reference guides (OOP, APIs, Pandas, etc.)

💻 Learn along with me

git clone https://github.com/Randomiser47/learn-python.git

Start with Day 1:

cd learn-python/days/day-01