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Fluffy Python: 180-Day Python Roadmap

An accelerated, project-based journey to Python proficiency and job readiness.

This repository serves as a comprehensive, structured guide for a 180-day Python learning journey. It's designed to take you from a complete beginner to a confident, job-ready developer by focusing on a project-based curriculum. Each day builds on the last, combining fundamental concepts with practical application to help you build a strong portfolio and master the skills required for the professional world.

Week Day Topic(s) / Task
Week 1: Python Fundamentals Day 1 Hello World
Day 2 Variables
Day 3 Data Types
Day 4 Operators
Day 5 User Input
Day 6 Conditional Statements
Day 7 Weekly Recap
Week 2: Core Concepts Day 8 Data Structures - Lists
Day 9 Loops (for & while)
Day 10 Functions
Day 11 Modules & Libraries
Day 12 Project: Quiz Game
Day 13 File I/O (read & write)
Day 14 Weekly Recap
Week 3: Advanced Fundamentals Day 15 Data Structures - Dictionaries
Day 16 Error Handling (try, except)
Day 17 Object-Oriented Programming (OOP) - Classes & Objects
Day 18 OOP - Inheritance
Day 19 Project: Fantasy Character Creator
Day 20 Working with APIs (requests)
Day 21 Weekly Recap
Week 4: Intermediate Python Day 22 Data Structures - Tuples & Sets
Day 23 More on Strings & Regular Expressions
Day 24 Lambda Functions & List Comprehensions
Day 25 More on Functions: *args & **kwargs
Day 26 Project: Simple Web Scraper
Day 27 Working with Files - CSV, JSON
Day 28 Weekly Recap
Week 5: Specializing - Data Analysis Day 29 Intro to Data Analysis
Day 30 pandas - DataFrames & Series
Day 31 pandas - Data Cleaning
Day 32 matplotlib - Data Visualization
Day 33 numpy - Numerical Computing
Day 34 Project: Exploratory Data Analysis
Day 35 Weekly Recap
Week 6: Specializing - Automation Day 36 Automating with the os Module
Day 37 Automating Emails (smtplib)
Day 38 Automating Web Browsers (Selenium)
Day 39 Scheduling Tasks (time & schedule)
Day 40 Project: Automated File Organizer
Day 41 More Automation (shutil, datetime)
Day 42 Weekly Recap
Week 7: Building Web Applications Day 43 Web Frameworks - Flask Intro
Day 44 Flask - Routes & Templates
Day 45 HTML & CSS Fundamentals
Day 46 Flask - Forms & User Input
Day 47 Project: Simple Blog App
Day 48 Intro to Databases - SQLite
Day 49 Weekly Recap
Week 8: Database & SQL Day 50 SQL Fundamentals with SQLite
Day 51 Python & Databases (sqlite3)
Day 52 Database Schema & Design
Day 53 Advanced SQL Queries
Day 54 Project: User Authentication System
Day 55 API Development with Flask
Day 56 Weekly Recap
Week 9: Frontend & Full-Stack Day 57 Intro to JavaScript
Day 58 JavaScript - DOM Manipulation
Day 59 Frontend with Jinja2 Templating
Day 60 Fetching API Data with JavaScript
Day 61 Project: Full-Stack To-Do App
Day 62 Deployment Fundamentals
Day 63 Weekly Recap
Week 10: Advanced Project - Task Manager App Day 64 Project Planning: Define features, user flow, and tech stack.
Day 65 Backend Setup: Set up Flask/FastAPI and a database.
Day 66 User Model: Create a User model and handle user registration.
Day 67 Authentication: Implement user login/logout and sessions.
Day 68 Task Model: Create a Task model.
Day 69 Task Management: Implement CRUD functionality.
Day 70 Weekly Recap: Review project progress and debug.
Week 11: Advanced Project - Task Manager (Cont.) Day 71 Task Filtering: Add functionality to filter tasks.
Day 72 Due Dates: Add a due date and enable sorting.
Day 73 API Endpoints: Refactor core functions into a RESTful API.
Day 74 Frontend Integration: Create a simple frontend.
Day 75 Error Handling: Implement robust error handling.
Day 76 Testing: Write basic unit tests.
Day 77 Weekly Recap: Present the completed project.
Week 12: Intermediate Algorithms Day 78 Algorithms Intro: What is an algorithm? Big O notation.
Day 79 Searching: Linear vs. Binary search (implementation).
Day 80 Sorting: Bubble Sort algorithm.
Day 81 Sorting: Merge Sort algorithm.
Day 82 Recursion: Understanding recursive functions.
Day 83 Coding Challenge: Solve 2-3 basic algorithm problems.
Day 84 Weekly Recap: Review algorithms.
Week 13: Intermediate Data Structures Day 85 Stacks: LIFO principle.
Day 86 Queues: FIFO principle.
Day 87 Linked Lists: Understanding nodes.
Day 88 Trees: Intro to tree data structures.
Day 89 Hash Tables: Understanding the concept.
Day 90 Coding Challenge: Solve 2-3 medium-level data structure problems.
Day 91 Weekly Recap: Review all intermediate data structures.
Week 14-16: Intermediate Algorithms & Interview Prep Day 92-112 Deep Dive: A 3-week focus on practicing common interview problems on platforms like LeetCode or HackerRank. Each day focuses on a specific algorithm or data structure pattern, with solutions in Python.
Week 17-20: Specialization & Advanced Topics Day 113-140 Choose Your Path: During these weeks, you will choose to specialize in one of the following tracks, with daily lessons dedicated to that area.
Data Science Track Web Dev (Django/FastAPI) Track
Day 113-118 Machine Learning fundamentals, Scikit-learn, Model training.
Day 119-124 Data visualization with Plotly/Seaborn.
Day 125-130 Working with APIs & large datasets.
Day 131-140 Project: Build a simple predictive model.
Week 21-24: Capstone Project Day 141-168 The Capstone: This is your final portfolio piece. This period is dedicated to building a large-scale project from scratch.
Day 141-147 Phase 1: Planning. Define project scope, tech stack, and create a roadmap.
Day 148-154 Phase 2: Backend. Build the core backend logic and database.
Day 155-161 Phase 3: Frontend. Build the user interface and connect it to the backend.
Day 162-168 Phase 4: Finalization. Add final features, testing, and prepare for deployment.
Week 25-26: Final Review & Job Hunt Day 169-180 Job Readiness: This phase is all about preparing for the job market.
Day 169-172 Portfolio Refinement: Final polish on your GitHub profile and projects.
Day 173-176 Resume & LinkedIn: Build a professional resume and optimize your LinkedIn profile.
Day 177-179 Interview Practice: Practice common behavioral and technical interview questions.
Day 180 Launch Day: Officially "market-ready." Begin applying for jobs.