📚 Complete Study Path

Comprehensive 5-chapter curriculum with videos, topics, and assessments

Total Hours

50h

🎥

Total Videos

Topics Covered

Your Progress

Ch 1

Python Basics & Introduction

Learn Python fundamentals: installation, variables, data types, operators, and basic input/output

📖

Topics

🎥

Videos

⏱️

Duration

97m

📚

Difficulty

Beginner

⏳

Est. Time

Topics to Master:

Python Installation & Setup

Your First Program

Variables & Data Types

Operators (Arithmetic, Comparison, Logical)

Input & Output

Type Conversion

Comments & Code Style

Key Learning Outcomes

✓Understand Python environment and basic syntax
✓Work with variables and different data types
✓Use operators and perform calculations
✓Get user input and display output
✓Follow Python naming conventions

Ch 2

Control Flow & Decision Making

Master conditional statements: if-else, nested conditions, and logical combinations

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Topics

🎥

Videos

⏱️

Duration

88m

📚

Difficulty

Beginner

⏳

Est. Time

Topics to Master:

If Statement

If-Else Statement

If-Elif-Else Statement

Nested Conditionals

Conditional Expressions (Ternary)

Boolean Logic

Comparison Chains

Practical Examples

Key Learning Outcomes

✓Understand conditional logic and flow control
✓Write if-else statements correctly
✓Use nested conditions effectively
✓Combine multiple conditions with logical operators
✓Solve decision-making problems

Ch 3

Loops & Iteration

Master loops: for loops, while loops, loop control statements, and iterations

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Topics

🎥

Videos

⏱️

Duration

126m

📚

Difficulty

Beginner

⏳

Est. Time

10h

Topics to Master:

For Loop Basics

For Loop with Range

Iterating Over Lists & Strings

While Loop

Loop Control: break & continue

Nested Loops

Loop Patterns

Practical Examples

Key Learning Outcomes

✓Understand and use for loops effectively
✓Master while loops and loop conditions
✓Use break and continue statements
✓Work with nested loops
✓Solve repetitive tasks using loops

Ch 4

Data Structures & Collections

Master lists, tuples, dictionaries, and sets - the fundamental data structures

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Topics

🎥

Videos

⏱️

Duration

167m

📚

Difficulty

Intermediate

⏳

Est. Time

12h

Topics to Master:

Lists: Creation & Indexing

List Methods

List Slicing & Copying

Tuples: Immutable Sequences

Dictionaries: Key-Value Pairs

Dictionary Methods

Sets: Unique Collections

Nested Data Structures

Comprehensions

Key Learning Outcomes

✓Master list operations and methods
✓Understand tuple immutability
✓Work with dictionaries and key-value pairs
✓Use sets for unique collections
✓Create nested and complex data structures

Ch 5

Functions & Modules

Master function definition, parameters, return values, scope, and modular programming

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Topics

🎥

Videos

⏱️

Duration

205m

📚

Difficulty

Intermediate

⏳

Est. Time

14h

Topics to Master:

Function Definition & Syntax

Parameters & Arguments

Default Parameters

*args & **kwargs

Return Values

Variable Scope

Lambda Functions

Modules & Imports

Built-in Functions

Recursion

Key Learning Outcomes

✓Define and call functions effectively
✓Use different types of parameters
✓Understand variable scope
✓Write recursive functions
✓Organize code using modules
✓Use built-in functions efficiently

🎯Recommended Learning Sequence

1.Start with Chapter 1 & 2: Learn basics and control flow (Easy foundation)
2.Watch all videos: Each chapter has curated YouTube videos for deep learning
3.Practice with flashcards: Reinforce concepts with interactive flashcards
4.Take quizzes: Test your understanding with topic-wise quizzes
5.Code practice: Apply concepts in the live code editor
6.Mock tests: Take full-length mock exams to assess readiness

Flashcards Viewed

Keep reviewing to master concepts

Quizzes Completed

Practice more to improve scores

Average Mock Score

Target: 70% to pass