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Best book for python and data structure algorithms

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Best book for python and data structure algorithms.

The C++ Programming Language

Released in: 2000

Author: Bjarne Stroustrup

Suitable for: Intermediates to Experts

This book is the most trusted book for programming languages especially C++. The book is written by father of C++ language himself. The book has good overall coverage which includes key design etc.

This book is divided into three sections. The first section consist of crash course on C++ (introduction to the language). The second section is a structure section. The third and last section explores about the standard libraries, which is the integral part of C++ language.

Introduction to Algorithms

Released in: 2001

Authors: Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein

Suitable for: Beginners and Intermediates

This book covers full algorithms in detail, classical algorithms in graph theory, string matching, special algorithms in number theory, and computational geometry. Best book for python and data structure algorithms. 

You can buy this book on amazon and flipkart and the way of explaining all the algorithms and programming is very easy. That’s why this book is suitable for beginners also.

The main catch is that if you are at a beginner level then you have to put a little hard work and enough time to clearly understand the topics.

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Fluent Python

Released in year: 2015

Author: Luciano Ramalho
Suitable for: Experts level

The author itself of this book is one of those authors who really understand the programming language that have well didactics. Luciano Ramalho writes python programming with passion without hiding the disadvantages or pitfalls of the coding language.

Most of the chapters in the book are very simple, while others cover foible and intricacies, touching the in-depth of the python language. It covers data modeling, functions as objects, data structures, control flow, and Meta programming. It introduce you with python core programming in efficient manner and also covers several libraries.

python coding

Deep Learning

Released in year: 2016

Author: Ian Goodfellow, Aaron Courville, and Yoshua Bengio

Suitable for: Experts

This book provide information in a very simple manner. Mostly, it covers the concepts on neural networks and in-depth knowledge of networks. Best book for python and data structure algorithms. 

The book has three sections:

  • First Section covers the concepts of machine learning, numerical computation, information theory, and probability theory.
  • Second section covers deep feed forward networks, convolutional networks, sequence modeling, and optimization algorithms. It surveys various applications in video games also.
  • Third section covers theoretical topics like deep generative models representation learning, and Monte Carlo methods.

This book is for expert people who wants to understand the depth theoretical part of the data and programming. This books is also good for PhD fellows for their research which mostly revolves around AI, Deep learning, and machine learning.

Artificial Intelligence: A Modern Approach

Released in year: 2015

Authors: Stuart Russell, Peter Norvig
Relevant for: Beginners and Intermediates

This books covers a very neat and clean introduction to artificial intelligence and technical writing. One advantage of this book is it can be understood by the audience those who don’t have enough expertise in several mathematics notations and just require basics of algorithm and computational complexity.

The book generally covers all the concepts related to artificial intelligence. One advantage of this book is it contains lot of examples related to every concept with their practical implications in several domains like ML, speech recognition, robotics, and many more.

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Cracking the Coding Interview

Released in: 2011

Authors: Gayle Laakmann McDowell
Suitable for: Beginners and Intermediate

This is the best book to read if you are seeking for a job related to software and programming profile or you are taking admission somewhere. It is most expansive and detailed oriented book on interview perspective.

The book teach you how to tackle non-technical questions, how to analyze problems, and how to write code. It also includes answers of how to react and answer the questions which are non-technical. This book contains more than 180 programming questions for interview.

The other Books which you must consider is

Grokking Algorithms by Aditya Bhargava which covers data compression, greedy algorithms, graphs, Huffman coding, and many more.

The Pragmatic Programmer: Your Journey to Mastery by Andrew Hunt and David Thomas. It covers concepts of coding, testing, and several architectural methods for making code flexible.

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