Data Structures & Algorithms in Python: A Practical Approach to Problem Solving

Name: Data Structures & Algorithms in Python: A Practical Approach to Problem Solving
Brand: Atlantic Books
SKU: 9798294202231
Price: 1682.0 INR
Availability: InStock

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ISBN13: 9798294202231
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: July 25, 2025
Pages: 220
Original Price: GBP 14.8
Language: English
Edition: N/A
Item Weight: 300 grams
BISAC Subject(s): Languages / Python

About The Book

Crack Technical Interviews. Write Smarter Code. Solve Real Problems.
If you want to become a better programmer, ace coding interviews, or simply write faster and more efficient code, mastering data structures and algorithms is non-negotiable.
Data Structures & Algorithms in Python is your practical, step-by-step guide to understanding core computer science concepts-without drowning in theory.

This book strips away academic complexity and shows you how to apply stacks, queues, linked lists, trees, graphs, hash maps, sorting, and recursion using clean, modern Python code. You'll not only learn how each structure works, but when and why to use it to solve real-world problems.

Whether you're preparing for FAANG interviews, working on technical assessments, or improving your problem-solving skills, this hands-on guide is built to make algorithms accessible, intuitive, and actionable.

✅ What You'll Learn:

How to implement core data structures in Python: lists, stacks, queues, trees, graphs, and hash maps
Sorting algorithms: bubble, quicksort, merge sort, and when to use them
Search techniques including binary search, BFS, and DFS
Mastering recursion, backtracking, and dynamic programming
Real-world problem-solving strategies and interview-style challenges
How to analyze time and space complexity with Big O Notation

Perfect For:

Python developers aiming to level up
Students preparing for technical interviews
Bootcamp grads and self-taught programmers
Anyone looking to master algorithms with hands-on Python examples

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