Beginner to Advanced Popular

Master Python Programming

From Zero to Hero in 100 Days

Learn Python through 763 practical lessons and build 100 real-world projects. Perfect for beginners and those looking to advance their programming skills.

100 days • max 1 hour/day
100 Days
130 Students Graduated

About This Python Marathon

This comprehensive Python course is designed to take you from complete beginner to proficient developer in 100 days. With 763 carefully crafted lessons, you'll learn Python fundamentals, object-oriented programming, data structures, algorithms, web development, data science, and much more.

Each day includes hands-on projects that reinforce your learning and build your portfolio. By the end of this marathon, you'll have created 100 real-world projects and gained the confidence to tackle any Python challenge.

What You'll Learn

🐍

Python Fundamentals

Master variables, data types, operators, control flow, functions, and Python syntax from the ground up

🎯

100 Real Projects

Build practical applications including games, web apps, automation tools, and data analysis projects

📊

Data Science & Analytics

Work with NumPy, Pandas, Matplotlib, and learn data analysis, visualization, and machine learning basics

🌐

Web Development

Create web applications using Flask/Django, work with APIs, databases, and build full-stack projects

🤖

Automation & Scripting

Automate repetitive tasks, web scraping, file operations, and create powerful automation scripts

💼

Career-Ready Skills

Learn industry best practices, version control with Git, testing, debugging, and professional development workflows

📚

View Course Program

Explore the full course curriculum — see all lessons, topics and projects you'll master

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Course Curriculum - 763 Lessons

1 Python Basics & Fundamentals (Days 1-15) 15 lessons

  • Introduction to Python & Setup
  • Variables, Data Types & Operators
  • Strings and String Manipulation
  • Lists, Tuples & Dictionaries
  • Control Flow: If/Else Statements
  • Loops: For & While
  • Functions & Parameters
  • Scope & Return Values
  • Modules & Import System
  • Error Handling & Exceptions
  • File I/O Operations
  • Working with JSON & CSV
  • Regular Expressions
  • Lambda Functions & Map/Filter
  • List Comprehensions

2 Object-Oriented Programming (Days 16-25) 10 lessons

  • Classes & Objects
  • Attributes & Methods
  • Constructors & Destructors
  • Inheritance & Polymorphism
  • Encapsulation & Abstraction
  • Magic Methods & Operator Overloading
  • Property Decorators
  • Class & Static Methods
  • Abstract Base Classes
  • Design Patterns in Python

3 Advanced Python Concepts (Days 26-40) 15 lessons

  • Decorators & Closures
  • Generators & Iterators
  • Context Managers
  • Metaclasses
  • Async/Await & Asyncio
  • Threading & Multiprocessing
  • Memory Management
  • Performance Optimization
  • Testing with Unittest & Pytest
  • Debugging Techniques
  • Type Hints & MyPy
  • Virtual Environments
  • Package Management with pip
  • Creating Python Packages
  • Documentation Best Practices

4 Web Development with Python (Days 41-60) 20 lessons

  • HTTP Basics & Web Protocols
  • Flask Framework Introduction
  • Routing & URL Building
  • Templates with Jinja2
  • Forms & User Input
  • Database Integration (SQLite, PostgreSQL)
  • SQLAlchemy ORM
  • User Authentication & Sessions
  • RESTful API Development
  • API Authentication & Security
  • Django Framework Basics
  • Django Models & Migrations
  • Django Admin Panel
  • Django REST Framework
  • Deployment with Gunicorn & Nginx
  • Working with WebSockets
  • Building Real-time Applications
  • Django Channels
  • Web Scraping with BeautifulSoup
  • Advanced Scraping with Selenium

5 Data Science & Analytics (Days 61-80) 20 lessons

  • NumPy Arrays & Operations
  • Pandas DataFrames
  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis
  • Data Visualization with Matplotlib
  • Advanced Plots with Seaborn
  • Statistical Analysis
  • Machine Learning Basics
  • Scikit-learn Introduction
  • Linear & Logistic Regression
  • Decision Trees & Random Forests
  • K-Means Clustering
  • Natural Language Processing
  • Working with Time Series Data
  • Feature Engineering
  • Model Evaluation & Validation
  • Cross-Validation Techniques
  • Hyperparameter Tuning
  • Deep Learning with TensorFlow
  • Neural Networks Basics

6 Automation & Advanced Projects (Days 81-100) 20 lessons

  • File System Automation
  • Email Automation with SMTP
  • PDF Generation & Manipulation
  • Excel Automation with openpyxl
  • Image Processing with Pillow
  • GUI Development with Tkinter
  • Desktop Applications with PyQt
  • Command Line Tools with Click
  • Web Automation & Bot Creation
  • Telegram Bot Development
  • Discord Bot Creation
  • Working with APIs (REST, GraphQL)
  • OAuth & API Authentication
  • Cryptocurrency & Blockchain Basics
  • Building Trading Bots
  • Game Development with Pygame
  • Computer Vision with OpenCV
  • Security & Ethical Hacking Basics
  • DevOps with Python
  • Final Capstone Project
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