Data Structures and Algorithms with Python

Technology

Science and Nature

Data Structures and Algorithms with Python

By Aadinath Pothuvaal

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Length3h 51m

About this audiobook

"Dive into the Heart of Pythonic Algorithms and Data Structures" offers a comprehensive guide designed to empower both beginners and seasoned developers. Whether you're mastering the foundations of computer science or enhancing your problem-solving skills, this book provides a roadmap through the intricacies of efficient data organization and algorithmic prowess. We introduce the versatility of Python, setting the stage for an exploration of various data structures, including arrays, linked lists, stacks, queues, trees, and graphs. Each chapter presents practical examples and Python code snippets for easy comprehension and application. As the journey progresses, we shift focus to algorithms, covering sorting techniques, searching methods, and dynamic programming. Real-world applications and case studies bridge the gap between theory and practical implementation, reinforcing each algorithm's relevance in solving tangible problems. The book emphasizes a hands-on approach, encouraging active engagement with Python code and algorithms. Whether you're preparing for coding interviews, building scalable software, or honing your programming skills, this book equips you with the knowledge and confidence to navigate the challenging terrain of Data Structures and Algorithms using Python.

Audiobook details

GenreTechnology, Science and Nature

Length3 hrs 51 mins

Narrated byListen with 1,000+ voices

FormateBook with Audio

Publish dateFeb 20, 2025

LanguageEnglish

11.1 Overview of key data structures

4911.3 Optimal Substructure

21.2 Time and space complexity analysis. Big O notation.

5011.4 Analysis

31.3 Algorithms for searching, sorting, recursion etc.

5111.5 Fractional Knapsack Problem

41.4 Python basics and setup

5211.6 Activity Selection Extensions

52.1 Implementing arrays and array-based lists in Python

5312.1 Overview

Show all chapters

62.2 Linked lists - singly, doubly, circular

5412.2 Quicksort

72.3 Operations like search, insert, delete, traverse

5512.3 Merge Sort

83.1 Stack implementation using arrays and linked lists

5612.4 Binary Search

93.2 Stack operations like push, pop, peek

5712.5 Closest Pair

103.3 Queues using arrays and linked lists

5812.6 Convex Hull

113.4 Queue operations like enqueue, dequeue

5912.7 Strassen’s Matrix Multiplication

123.5 Priority queues

6012.8 Analysis

134.1 Binary Trees

6112.9 Karatsuba Multiplication

14Operations and Algorithms

6212.10 Dynamic Programming vs Divide-and-Conquer

154.2 Tree Traversals

6313.1 Overview

164.3 Balanced vs Unbalanced Trees

6413.2 0/1 Knapsack Problem

174.4 Common Operations

6513.3 Longest Common Subsequence

185.1 Max and Min Heap Implementation

6613.4 All-Pairs Shortest Path

195.2 Heap Operations

6713.5 Sequence Alignment

205.3 Heap Sort Algorithm

6814.1 Generating permutations/combinations

216.1 Hash Tables and Hash Functions

6914.2 Solving rat-in-maze and n-queen problems

226.2 Collision Resolution

7014.3 Sudoku Solver - Constraint Satisfaction

236.3 Hash Table Load Factors

7114.4 Pruning Branches, Avoiding Repeats

246.4 Dictionaries with Hash Tables

7215.1 P, NP, NP-complete and NP-hard Problems

257.1 String Search Algorithms

7315.2 Cook’s Theorem, Examples of Hard Problems

267.2 Pattern Matching

7415.3 Approximation Algorithms and Heuristics

277.3 Longest Common Subsequence

7516.1 Searching - binary, exponential, Fibonacci

287.4 String Manipulation

7616.2 Factorial Computation, Large Number Multiplication

298.1 Recursion Basics

7716.3 Primality Testing - Fermat’s, Solovay-Strassen

308.2 Recursive Function Design

7816.4 Numerical Integration - Quadrature

318.3 Recursive Sorting Algorithms

7917.1 Introduction to Randomized Algorithms

328.4 Divide and Conquer Algorithms

8017.2 Applications of Randomization in Algorithms

338.5 Backtracking and Memoization

8117.2.2 Quicksort, Quickselect, Skip Lists

349.1 Sequential and Binary Search

8217.3 Universal Hashing, Rabin Karp String Search

359.2 Sorting Algorithms

8317.4 Monte Carlo Algorithms, Las Vegas Algorithms

369.3 Sorting Algorithm Analysis

8418.1 Minimum Spanning Trees

379.4 Sorting in Python

8518.2 Shortest Paths on Weighted Graphs

389.5 Algorithm Stability

8618.3 Maximum Flow Problem

399.6 Adaptive Sorting Algorithms

8718.4 Bipartite Graph Matching

4010.1 Graph Definitions

8819.1 Task-based vs Data-based Parallelism

4110.2 Graph Representations

8919.2 Parallel Sorting Algorithms

42Python Adjacency Matrix

9019.3 Parallel Searching and MapReduce

4310.3 Graph Traversal Algorithms

9119.4 Synchronization for Parallel Algorithms

4410.4 Shortest Path Algorithms

9220.1 Persistent data structures for immutability

4510.5 Minimum Spanning Trees

9320.2 Making lists, trees etc. functional

4610.6 Graph Problems

9420.3 Lazy evaluation, Streams, memoization

4711.1 Activity Selection

9520.4 Applications like version control systems

4811.2 Huffman Encoding

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