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100 Days of Python: Complete Roadmap & Learning Index

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  • 100 Days of Python: Complete Roadmap & Learning Index
  • July 3, 2025
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100 Days of Python Starts Now: Learn, Code & Level Up

If you’re ready to take your Python skills from absolute beginner to advanced developer, you’re in the right place. This challenge is designed to help you learn Python in manageable daily chunks while building practical, real-world coding habits.

Whether you’re new to coding or brushing up your skills, this 100-day roadmap will take you through everything—from variables and loops to APIs, Django, FastAPI, and even machine learning.

How It Works

  • Format: One topic per day + practice/project suggestion
  • Goal: Learn by doing—code daily and document your journey
  • Share: Post updates on GitHub, Twitter using #100DaysOfPython

Master Python in 100 Days: The Ultimate Roadmap to Code Like a Pro

This is your master index. Bookmark this page to track your daily learning path!

DayTopic TitleLevelLink
1What is Python? A Beginner’s Introduction to Python ProgrammingBeginnerRead
2How to Install Python and Set Up Your First IDEBeginner
3Python Syntax and Code Structure ExplainedBeginner
4Python Variables and Data Types for BeginnersBeginner
5How Type Casting and Comments Work in PythonBeginner
6Taking User Input and Displaying Output in PythonBeginner
7Understanding Python Operators with ExamplesBeginner
8Python If-Else Conditional Statements ExplainedBeginner
9Python Loops Tutorial: For and While ExplainedBeginner
10Python Break and Continue Statements SimplifiedBeginner
11Complete Guide to Python Lists with ExamplesBeginner
12Python Tuples Tutorial for BeginnersBeginner
13Python Sets and Frozensets Explained with Use CasesBeginner
14Python Dictionaries: What They Are and How to Use ThemBeginner
15String Formatting and Manipulation in PythonBeginner
16Python Functions: Defining and Calling FunctionsBeginner
17How to Use *args and **kwargs in Python FunctionsBeginner
18Understanding Scope and Namespace in PythonBeginner
19Lambda Functions in Python: One-Liners ExplainedBeginner
2025 Built-in Python Functions You Should KnowBeginner
21How to Validate User Input in PythonBeginner
22Introduction to Python Debugging for BeginnersBeginner
23How to Write and Run Your First Python ScriptBeginner
24Python Comments and Docstrings ExplainedBeginner
25Common Python Errors and How to Fix ThemBeginner
26Python Code Style Guide (PEP8) for Clean CodeBeginner
27Easy Python Challenges to Practice Your SkillsBeginner
28Using Python REPL and Shell Like a ProBeginner
29Best Online IDEs to Write and Run Python CodeBeginner
30Day 30 Recap: Python Basics Review and PracticeBeginner
31What Are Python Modules and How to Use ThemIntermediate
32How to Create and Import Custom Python ModulesIntermediate
33Python File Handling Tutorial: Read and Write FilesIntermediate
34Python Exception Handling: Try, Except, Finally ExplainedIntermediate
35How to Work with JSON Files in PythonIntermediate
36Reading and Writing CSV Files in PythonIntermediate
37Python Date and Time Module GuideIntermediate
38Using OS and Sys Modules for File and System AccessIntermediate
39How to Use Random and Math Modules in PythonIntermediate
40Python Comprehensions: List, Dict, and Set ExplainedIntermediate
41Python Iterators and Generators Made EasyIntermediate
42What Are Python Decorators and How to Use ThemIntermediate
43Object-Oriented Programming in Python: Classes and ObjectsIntermediate
44Python Constructors and Destructors ExplainedIntermediate
45Understanding Inheritance and Polymorphism in PythonIntermediate
46Encapsulation and Abstraction in Python OOPIntermediate
47Python Class Methods vs Static Methods: What’s the Difference?Intermediate
48Python Magic Methods (Dunder Methods) ExplainedIntermediate
49Managing Files and Directories in Python Using os and shutilIntermediate
50How to Use Logging in Python Like a ProIntermediate
51Python Unit Testing with unittest FrameworkIntermediate
52Creating and Using Virtual Environments in PythonIntermediate
53Managing Dependencies with pip and Requirements.txtIntermediate
54Using argparse to Handle Command Line Arguments in PythonIntermediate
55How to Debug Python Code Using pdbIntermediate
56Python Regular Expressions (RegEx) TutorialIntermediate
57How to Use Multithreading in PythonIntermediate
58Introduction to Multiprocessing in PythonIntermediate
59Python Context Managers and the with StatementIntermediate
60Advanced Python Itertools for Efficient LoopsIntermediate
61Intermediate Python Practice Day: Build Something SmallIntermediate
62Python Quiz Challenge: Test What You’ve LearnedIntermediate
63Build a Python CLI App: File Organizer or To-Do ListIntermediate
64Python Clean Code Tips for Better ProjectsIntermediate
65Best Practices Every Intermediate Python Developer Should FollowIntermediate
66Python Memory Management and Garbage CollectionAdvanced
67How to Use SQLite and MySQL in PythonAdvanced
68ORM in Python Using SQLAlchemy: A Beginner’s GuideAdvanced
69Web Scraping in Python Using BeautifulSoupAdvanced
70Web Scraping in Python Using ScrapyAdvanced
71How to Make API Calls in Python Using requestsAdvanced
72Building REST APIs in Python Using FlaskAdvanced
73Adding JWT Authentication to Flask APIsAdvanced
74Flask Templates with Jinja2 ExplainedAdvanced
75Getting Started with Django Web FrameworkAdvanced
76Django Models and Admin Panel: Full GuideAdvanced
77Django Views and Templates for BeginnersAdvanced
78How to Implement User Authentication in DjangoAdvanced
79Intro to Django REST Framework: Build RESTful APIsAdvanced
80How to Use Class-Based Views in DjangoAdvanced
81Deploying Python Projects to Heroku and DockerAdvanced
82FastAPI Tutorial: Getting Started with Modern APIsAdvanced
83Building APIs with FastAPI: Complete WalkthroughAdvanced
84Async/Await in Python: Concurrency Made SimpleAdvanced
85Python Type Hinting and Function AnnotationsAdvanced
86NumPy Crash Course: Learn Array ProgrammingAdvanced
87Pandas Crash Course: Python for Data AnalysisAdvanced
88Data Visualization in Python Using MatplotlibAdvanced
89Advanced Data Visualization with SeabornAdvanced
90Automating Excel with openpyxl and PythonAdvanced
91Introduction to Machine Learning with PythonAdvanced
92Supervised vs Unsupervised Machine Learning in PythonAdvanced
93Machine Learning with scikit-learn: Quick StartAdvanced
94Splitting Data & Evaluating Model Accuracy in PythonAdvanced
95Decision Trees, KNN & SVM Explained with PythonAdvanced
96Linear and Logistic Regression in PythonAdvanced
97K-Means Clustering Explained with Python CodeAdvanced
98Python Project: Predict House Prices Using MLAdvanced
99Python Project: Build a Sentiment Analysis ToolAdvanced
100Final Python Project: Build and Deploy a SaaS AppAdvanced

Why This Works

  • Daily accountability builds long-term coding habits
  • SEO-friendly titles help you find and recall each topic easily
  • Voice-search optimized posts support learners using mobile and smart assistants
  • Project-based structure turns theory into real experience
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