Top 5 Books every newbie coder must read

Top 5 Books every newbie coder must read

Top 5 Books every newbie coder must read

In this article, we would be making a list of 5 must-read books for every newbie coder.

Introduction to Algorithms (Eastern Economy Edition) (Cormen)

This is a very renowned book and highly values book, often considered as a bible for data structures and algorithms and hence a must read.

This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and presents an algorithm, a design technique, an application area, or a related topic. The algorithms are described and designed in a manner to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

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Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles [Narasimha Karumanchi ]

Narasimha Karumanchi is the founder of CareerMonk Publications and author of few books on data structures, algorithms, and design patterns. He was a software developer who has been both interviewer and interviewee over his long career. Most recently he worked for Amazon Corporation, IBM Software Labs, Mentor Graphics, and Microsoft. Narasimha holds an M.Tech. in computer science from IIT, Bombay, and B.Tech. from JNT University. He authored the following books which got translated to international languages: Chinese, Japanese, Korea and Taiwan. Also, around 58 international universities were using these books as reference for academic courses.

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Data Structures Using C

This second edition of Data Structures Using C has been developed to provide comprehensive and consistent coverage of both the abstract concepts of data structures as well as the implementation of these concepts using C language. It begins with a thorough overview of the concepts of C programming followed by the introduction of different data structures and methods to analyze the complexity of different algorithms. It then connects these concepts and applies them to the study of various data structures such as arrays, strings, linked lists, stacks, queues, trees, heaps, and graphs.

The book utilizes a systematic approach wherein the design of each of the data structures is followed by algorithms of different operations that can be performed on them, and the analysis of these algorithms in terms of their running times.

Each chapter includes a variety of end-chapter exercises in the form of MCQs with answers, review questions, and programming exercises to help readers test their knowledge.

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Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles

A handy guide of sorts for any computer science professional, Data Structures and Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.

The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues, Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.

Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.

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Data Structure and Algorithmic Thinking with Python

Table of Contents: goo.gl/VLEUca

Sample Chapter: goo.gl/8AEcYk

Source Code: goo.gl/L8Xxdt

Errata: goo.gl/EVftls

Found issue? goo.gl/forms/uLXGYpyuzX

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem.

"Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.

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Efficient one algorithm of these two algorithms

Both of these algorithms are giving same output but the first one takes nearly double time (>.67) compared to second one (.36). How is this possible? Can you tell me the time complexity of both algorithms? If they're the same, why is the time different?

Dijkstra's algorithm in python: algorithms for beginners

Dijkstra's algorithm can find for you the shortest path between two nodes on a graph. It's a must-know for any programmer. There are nice gifs and history in its&nbsp;<a href="https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm" target="_blank">Wikipedia page</a>.

Dijkstra's algorithm in python: algorithms for beginners

<em>Photo by Ishan @seefromthesky on Unsplash</em>