Python and Data Structure Track Course
What You’ll Learn
Learn Python from zero — from Control Flow, Functions, and OOPs to Exception Handling, NumPy, and Pandas. Data Structures & Algorithms are also covered, which are essential for coding interviews. Gain hands-on experience with 10+ industry projects.
Benefits
- Python Fundamentals — Variables to Modules
- Object-Oriented Programming (OOPs)
- Exception Handling & File I/O
- Functional Python — Lambda, Map, Filter, Generators
- NumPy & Pandas for Data Analysis
- Data Structures — Arrays, Linked Lists, Trees, Graphs
- Algorithms — Sorting, Searching, Recursion
- 10+ Industry-level Projects
Curriculum
🐍 Module 1 — Python Fundamentals
- Python Setup, Variables, Data Types (int, float, str, bool, None)
- Operators, Input/Output, Type Casting
- Control Flow: if-elif-else, for, while, break, continue, pass
- Functions: Arguments, *args, **kwargs, Default Values, Scope
- Built-in Data Structures: List, Tuple, Dict, Set with all methods
- String Manipulation, F-strings, String Formatting
🔧 Module 2 — Advanced Python Concepts
- OOPs: Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction
- Magic/Dunder Methods: __init__, __str__, __repr__, __len__
- Exception Handling: try-except-finally, Custom Exceptions
- File I/O: Read, Write, Append, JSON, CSV handling
- Functional Programming: Lambda, Map, Filter, Reduce, List Comprehensions
- Iterators, Generators, Decorators, Context Managers
- Modules & Packages, pip, Virtual Environments
📊 Module 3 — NumPy & Pandas
- NumPy: Array Creation, Indexing, Slicing, Broadcasting, Math Ops
- Pandas: Series & DataFrame, loc/iloc, Filtering, Sorting
- Data Cleaning: Null Values, Duplicates, Type Conversion
- Groupby, Aggregation, Merge, Join, Pivot Table
🏗️ Module 4 — Data Structures & Algorithms
- Arrays, Strings, 2D Matrix problems
- Linked Lists: Singly, Doubly, Circular — Insertion, Deletion, Reversal
- Stack & Queue: Implementation, Applications (Balanced Brackets, LRU Cache)
- Trees: Binary Tree, BST, AVL — Traversals (Inorder, Preorder, Postorder)
- Graphs: BFS, DFS, Shortest Path (Dijkstra), Cycle Detection
- Sorting: Bubble, Selection, Insertion, Merge, Quick Sort
- Searching: Binary Search, Linear Search
- Recursion & Backtracking: N-Queens, Sudoku Solver
- Big-O Analysis: Time & Space Complexity for every topic
