Complete Python roadmap in 100 Days in 2023

Complete Python roadmap in 100 Days

Creating a complete Python roadmap with specific day-to-day tasks can be challenging due to the wide range of topics and the variability in individual learning speeds.

However, I can provide you with a general roadmap that you can adapt to your own pace and interests.


Keep in mind that learning Python is an ongoing process, and your journey may vary based on your prior experience and goals. Here's a rough Python roadmap with suggested timeframes for each section. Adjust these as needed:

Week 1: Getting Started:

  • Day 1-2: Install Python and a code editor (e.g., Visual Studio Code, PyCharm).
  • Day 3-4: Learn the basics of Python syntax (variables, data types, operators, and basic I/O).
  • Day 5-7: Work on simple Python projects or exercises to practice what you've learned.

Week 2-3: Control Flow and Functions:

  • Day 8-11: Study control flow (if statements, loops, and conditional expressions).
  • Day 12-14: Dive into Python functions (defining functions, parameters, and return statements).
  • Day 15-17: Work on projects that use functions for more complex logic.

Week 4-5: Data Structures:

  • Day 18-21: Explore Python lists, tuples, and dictionaries.
  • Day 22-24: Learn about list comprehensions and slicing.
  • Day 25-28: Practice by working with data structures in small programs.

Week 6-7: Object-Oriented Programming (OOP):

  • Day 29-32: Study the fundamentals of OOP (classes, objects, attributes, and methods).
  • Day 33-35: Understand inheritance, encapsulation, and polymorphism.
  • Day 36-40: Create a small project or class hierarchy to apply OOP concepts.

Week 8-9: Modules and Libraries

  • Day 41-44: Learn about Python modules and how to import them.
  • Day 45-49: Explore commonly used libraries (e.g., math, random, datetime).
  • Day 50-56: Start working on a project that involves using external libraries.

Week 10-11: File Handling and Exception Handling

  • Day 57-60: Understand file I/O and how to open, read, write, and close files.
  • Day 61-65: Learn about exceptions and how to handle errors using try and except blocks.
  • Day 66-70: Create a project that reads from and writes to files, handling exceptions.

Week 12-13: Intermediate Topics

  • Day 71-75: Explore more advanced topics such as regular expressions, decorators, and generators.
  • Day 76-80: Work on a mid-sized project that incorporates these advanced concepts.

Week 14-15: Web Development (Optional)

  • Day 81-84: Learn about web frameworks like Flask or Django.
  • Day 85-90: Build a basic web application using the chosen framework.

Week 16-17: Data Analysis and Visualization (Optional)

  • Day 91-95: Get started with data analysis libraries like Pandas.
  • Day 96-100: Learn data visualization using libraries like Matplotlib or Seaborn.

Week 18-20: Final Projects and Specializations

  • Day 101-120: Choose a specialization (e.g., web development, data science, automation) and work on a significant project in that area.
  • Day 121-140: Continue building, refining, and expanding your specialization project.

Week 21 and Beyond: Continuous Learning

  • Dedicate time each week to learn new libraries, frameworks, and explore advanced topics based on your interests and career goals.

Remember that learning Python is an ongoing process, and the above roadmap is just a starting point. Be sure to supplement your learning with books, online tutorials, and coding practice. Adapt the schedule to your own pace and interests, and don't forget to work on personal projects that excite you.


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