What you'll learn
Master Python Programming and Data Structures & Algorithms from beginner to advanced level through practical coding. This course covers Python fundamentals, Object-Oriented Programming, File Handling, Exception Handling, Functions, Recursion, and advanced DSA concepts including Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching, Hashing, Heaps, Dynamic Programming, and more. Designed for students, beginners, job seekers, and aspiring software developers to build strong programming skills, solve real-world problems, and prepare for coding interviews with hands-on projects.
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Course Syllabus
Introduction to Python
- Introduction to Python
- Evolution of Python Language
- Version History
- Installation and Setup
- PVM
- How to Develop and Run Python Programs?
Python Basics
- Comments
- Data or Constants
- Variables
- Data Types
- Memory Management
- print Method
- Keywords
- import
- Type Conversion
- Taking Input from User
- Operators
Control Statements in Python
- if Statement
- if else Statement
- if elif else
- Nested if else
- Single Line if else
- match Statement
Iterative Control Statements
- while Loop
- break, continue, pass
- for Loop
- else with Loop
- Nested Loop
Iterables in Python
Functions and Recursion
- Function Introduction
- Function Call vs Function Definition
- Predefined and User-defined Functions
- Ways to Define a Function
- Takes Nothing Returns Nothing
- Take Something Returns Nothing
- Takes Nothing Return Something
- Take Something Return Something
- Default Arguments
- Positional and Keyword Arguments
- Variable Length Arguments
Recursion
- Recursion
- Recursion Tree
- Approach to Recursive Solution
Functional Programming
- Lambda Expression
- Recursive Lambda Expression
- map()
- reduce()
- filter()
Object-Oriented Programming (OOP)
- Introduction to OOP
- Main Aspects of OOP
- Classes
- Objects
- init() Method
- Types of Functions
- Types of Variables
- Inheritance
- Types of Inheritance
- Name Conflict Issue
- Polymorphism
- Data Mingling
Exception Handling
- Introduction to Exceptions
- Handling Exceptions
- Default Exceptions
- Use of else in Exception Handling
- Raising Exceptions
More in Python
- Iterator
- Generator
- Decorator
- Making Your Class Iterable
File Handling & Project Work
- File Handling
- Project Work
Data Structures & Algorithms (DSA) in Python
Introduction to Data Structures
- Introduction to Data Structures
- Why You Should Learn Data Structure?
- Use Case of Data Structure
- Why Product Based Companies Focus on Data Structure
- Asymptotic Notations
- Time Complexity
Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Circular Doubly Linked List
Stack and Queue
Stack
- Stack Introduction
- Implementation of Stack
Queue
- Queue Introduction
- Implementation of Queue
- Deque (Double Ended Queue)
- Priority Queue
Recursion and Backtracking
- Recursion Basics
- Approach to Solve Recursive Problems
- Recursion vs Iteration
- Types of Recursion
Sorting Algorithms
- Bubble Sort
- Modified Bubble Sort
- Selection Sort
- Insertion Sort
- Quick Sort
- Merge Sort
Searching and Hashing
- Linear Search
- Binary Search
- Hashing
Tree
- Binary Tree
- Types of Binary Tree
- Binary Search Tree
- Implementation of Binary Search Tree
Heap
- Heap Introduction
- Implementation of Heap
- Heap Sort
Graph
- Graph Concept
- Graph Representation
- BFS and DFS
Types of Algorithms
- Divide and Conquer
- Greedy Method
- Dynamic Programming