📚Course Overview
Learn the world's fastest-growing programming language for web development, data science, AI and more
🎯 What You'll Master
Core Programming
Master fundamental programming concepts and Python syntax
Web Development
Build websites and web applications using Python frameworks
Data Analysis
Process, analyze and visualize data with Python libraries
AI & Machine Learning
Create intelligent applications with Python ML frameworks
Explore Our Syllabus
Learn more about our comprehensive curriculum
- Day 1: Introduction to Python – Run first program using print(). | Task: Print 'Hello Python' | Outcome: Python Introduction | Mentor Note: Explain Python as a language used to talk to the computer | Link: Trial Class & Python Introduction
- Day 2: Python Basics – Simple print statements & syntax. | Task: Write structured print statements | Outcome: Understand syntax | Mentor Note: Explain Python reads code line by line | Link: Python Setup & Basic Syntax
- Day 3: Numbers – Arithmetic operations. | Task: Calculate sums and averages | Outcome: Number operations | Mentor Note: Relate numbers to calculator usage | Link: Numbers in Python
- Day 4: Variables – Store and display values. | Task: Declare and assign variables | Outcome: Understand variable storage | Mentor Note: Explain variables as boxes storing values | Link: Variables
- Day 5: Dynamic Typing – Change data types. | Task: Modify variable types | Outcome: Observe type flexibility | Mentor Note: Python doesn’t require type declaration | Link: Dynamic Typing
- Day 6: Strings – Text handling basics. | Task: Create and print strings | Outcome: Text output | Mentor Note: Strings represent text data | Link: Strings – Basics
- Day 7: String Formatting – f-strings & format(). | Task: Print formatted messages | Outcome: Structured text output | Mentor Note: Use name & age examples | Link: Strings – Advanced Formatting
- Day 8: Lists – Create and access elements. | Task: Display list items | Outcome: Understand sequences | Mentor Note: Compare to shopping list | Link: Lists – Introduction
- Day 9: List Operations – Add/remove/update items. | Task: Modify list content | Outcome: Dynamic list handling | Mentor Note: Show real-life list changes | Link: Lists – Operations
- Day 10: Tuples – Immutable data. | Task: Create and access tuples | Outcome: Understand immutability | Mentor Note: Tuple = unchangeable list | Link: Tuples
- Day 11: Dictionaries – Key-value pairs. | Task: Create dictionary | Outcome: Structured storage | Mentor Note: Compare to word → meaning dictionary | Link: Dictionaries – Basics
- Day 12: Dictionary Operations – Update/access values. | Task: Manage structured data | Outcome: Advanced dictionary use | Mentor Note: Use student record examples | Link: Dictionaries – Advanced
- Day 13: Sets – Unique values. | Task: Remove duplicates using sets | Outcome: Unique data handling | Mentor Note: Sets don’t allow duplicates | Link: Sets
- Day 14: Booleans – True/False logic. | Task: Logical outputs | Outcome: Yes/No decisions | Mentor Note: Explain decision-making concept | Link: Booleans
- Day 15: Comparison Operators – > < == !=. | Task: True/False comparisons | Outcome: Conditional logic | Mentor Note: Explain comparison for decision making | Link: Comparison Operators
- Day 16: File Handling – Read/write text files. | Task: Save & retrieve data | Outcome: Persistent storage | Mentor Note: Compare files to notebooks | Link: File Handling