Problem Solving In Data Structures Algorithms Using Python

Problem Solving in Data Structures & Algorithms Using Python

This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.

PROBLEM SOLVING IN DATA STRUCTURES & ALGORITHMS USING PYTHON.

Problem Solving with Algorithms and Data Structures Using Python, 3rd Edition

This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. Computer science is like any other difficult subject matter, where you become successful through deliberate, step-by-step exposure to the fundamental ideas. A beginning computer scientist needs practice to gain thorough understanding before advancing to more complex parts of the curriculum. A beginner also needs opportunities to be successful and gain confidence. This book achieves these goals by exposing new concepts incrementally while building on previously covered topics. Furthermore, we use the Python programming language, as we believe that provides the perfect setting for exploring these ideas. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. This textbook has three key features: A strong focus on problem solving introduces students to fundamental data structures and algorithms by providing a very readable text without introducing on overwhelming amount of new language syntax. Algorithm analysis in term of Big O running time is introduced early and applied throughout. Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.