Top 10 Best Books to Read in Computer Programming Languages - August 2021

Here are our top ten recommendations if you are looking for the best books to read in Computer Programming Languages. We have made sure our list is diverse to cater to the interests of different types of readers.

1. Cracking the Coding Interview: 189 Programming Questions and Solutions


Top 10 Best Books to Read in Computer Programming Languages - August 2021

I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions. These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE? 189 programming interview questions, ranging from the basics to the trickiest algorithm problems. A walk-through of how to derive each solution, so that you can learn how to get there yourself. Hints on how to solve each of the 189 questions, just like what you would get in a real interview. Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen. Extensive coverage of essential topics, such as big O time, data structures, and core algorithms. A behind the scenes look at how top companies like Google and Facebook hire developers. Techniques to prepare for and ace the soft side of the interview: behavioral questions. For interviewers and companies: details on what makes a good interview question and hiring process. Illustrations note Illustrations : Illustrations, black and white

  • Author: Gayle Laakmann McDowell
  • Publisher: CareerCup; 6th edition (July 1, 2015)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-0984782857
  • Dimensions: 7 x 1.59 x 10 inches

                 

2. Python Crash Course, 2Nd Edition: A Hands-On, Project-Based Introduction To Programming


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Reading books is a kind of enjoyment. Reading books is a good habit. We bring you a different kinds of books. You can carry this book where ever you want. It is easy to carry. It can be an ideal gift to yourself and to your loved ones. Care instruction keep away from fire.

  • Author: Eric Matthes
  • Publisher: No Starch Press; 2nd edition (May 3, 2019)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-1593279288
  • Dimensions: 7.06 x 1.22 x 9.25 inches

                 

3. System Design Interview – An insider's guide, Second Edition


Top 10 Best Books to Read in Computer Programming Languages - August 2021

The system design interview is considered to be the most complex and most difficult technical job interview by many. This book provides a step-by-step framework on how to tackle a system design question. It includes many real-world examples to illustrate the systematic approach with detailed steps that you can follow. What’s inside? - An insider’s take on what interviewers really look for and why. - A 4-step framework for solving any system design interview question. - 16 real system design interview questions with detailed solutions. - 188 diagrams to visually explain how different systems work. Table Of Contents Chapter 1: Scale From Zero To Millions Of Users Chapter 2: Back-of-the-envelope Estimation Chapter 3: A Framework For System Design Interviews Chapter 4: Design A Rate Limiter Chapter 5: Design Consistent Hashing Chapter 6: Design A Key-value Store Chapter 7: Design A Unique Id Generator In Distributed Systems Chapter 8: Design A Url Shortener Chapter 9: Design A Web Crawler Chapter 10: Design A Notification System Chapter 11: Design A News Feed System Chapter 12: Design A Chat System Chapter 13: Design A Search Autocomplete System Chapter 14: Design Youtube Chapter 15: Design Google Drive Chapter 16: The Learning Continues

  • Author: Alex Xu
  • Publisher: Independently published (June 12, 2020)
  • Genre: Business & Money, Job Hunting & Careers
  • ISBN: 979-8664653403
  • Dimensions: 6 x 0.73 x 9 inches

                 

4. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and Tensor Flow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the Tensor Flow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.

  • Author: Aurélien Géron
  • Publisher: O'Reilly Media; 2nd edition (October 15, 2019)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1492032649
  • Dimensions: 7 x 1.2 x 9.2 inches

                 

5. Clean Code: A Handbook of Agile Software Craftsmanship


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way. Noted software expert Robert C. Martin, presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship . Martin, who has helped bring agile principles from a practitioner’s point of view to tens of thousands of programmers, has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of software craftsman, and make you a better programmer―but only if you work at it. What kind of work will you be doing? You’ll be reading code―lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly you will be challenged to reassess your professional values and your commitment to your craft.   Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code―of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.   Readers will come away from this book understanding How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development What “smells” and heuristics can help you identify bad code This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.

  • Author: Robert C. Martin
  • Publisher: Pearson; 1st edition (August 1, 2008)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-0132350884
  • Dimensions: 8.5 x 1.05 x 10.87 inches

                 



6. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupiter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupiter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas group by facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples.

  • Author: Wes McKinney
  • Publisher: O'Reilly Media; 2nd edition (October 31, 2017)
  • Genre: Computers & Technology, Databases & Big Data
  • ISBN: 978-1491957660
  • Dimensions: 7 x 1.3 x 9.1 inches

                 

7. Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion , a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-​in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io . Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors.

  • Author: Aditya Bhargava
  • Publisher: Manning Publications; 1st edition (May 1, 2016)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1617292231
  • Dimensions: 7.38 x 0.4 x 9.25 inches

                 

8. Web Design with HTML, CSS, JavaScript and jQuery Set


Top 10 Best Books to Read in Computer Programming Languages - August 2021

A two-book set for web designers and front-end developers This two-book set combines the titles HTML & CSS: Designing and Building Web Sites and JavaScript & jQuery: Interactive Front-End Development . Together these two books form an ideal platform for anyone who wants to master HTML and CSS before stepping up to JavaScript and jQuery. HTML & CSS covers structure, text, links, images, tables, forms, useful options, adding style with CSS, fonts, colors, thinking in boxes, styling lists and tables, layouts, grids, and even SEO, Google analytics, ftp, and HTML5. JavaScript & jQuery offers an excellent combined introduction to these two technologies using a clear and simple visual approach using diagrams, infographics, and photographs. A handy two-book set that uniquely combines related technologies Highly visual format and accessible language makes these books highly effective learning tools Perfect for beginning web designers and front-end developers.

  • Author: Jon Duckett
  • Publisher: Wiley; 1st edition (July 8, 2014)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-1118907443
  • Dimensions: 7.4 x 2.5 x 9.2 inches

                 

9. The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition (2nd Edition)


Top 10 Best Books to Read in Computer Programming Languages - August 2021

“One of the most significant books in my life.” —Obie Fernandez, Author, The Rails Way “Twenty years ago, the first edition of The Pragmatic Programmer completely changed the trajectory of my career. This new edition could do the same for yours.” —Mike Cohn, Author of Succeeding with Agile , Agile Estimating and Planning , and User Stories Applied “. filled with practical advice, both technical and professional, that will serve you and your projects well for years to come.” —Andrea Goulet, CEO, Corgibytes, Founder, LegacyCode.Rocks “. . . lightning does strike twice, and this book is proof.” —VM (Vicky) Brasseur, Director of Open Source Strategy, Juniper Networks The Pragmatic Programmer is one of those rare tech books you’ll read, re-read, and read again over the years. Whether you’re new to the field or an experienced practitioner, you’ll come away with fresh insights each and every time. Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development, independent of any particular language, framework, or methodology, and the Pragmatic philosophy has spawned hundreds of books, screencasts, and audio books, as well as thousands of careers and success stories. Now, twenty years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you’ll learn how to: Fight software rot Learn continuously Avoid the trap of duplicating knowledge Write flexible, dynamic, and adaptable code Harness the power of basic tools Avoid programming by coincidence Learn real requirements Solve the underlying problems of concurrent code Guard against security vulnerabilities Build teams of Pragmatic Programmers Take responsibility for your work and career Test ruthlessly and effectively, including property-based testing Implement the Pragmatic Starter Kit Delight your users Written as a series of self-contained sections and filled with classic and fresh anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best approaches and major pitfalls of many different aspects of software development. Whether you’re a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you’ll quickly see improvements in personal productivity, accuracy, and job satisfaction. You’ll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You’ll become a Pragmatic Programmer. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

  • Author: David Thomas
  • Publisher: Addison-Wesley Professional; 2nd edition (September 13, 2019)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-0135957059
  • Dimensions: 7.7 x 1 x 9.35 inches

                 

10. Learning Python, 5th Edition


Top 10 Best Books to Read in Computer Programming Languages - August 2021

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

  • Author: Mark Lutz
  • Publisher: O'Reilly Media; Fifth edition (July 16, 2013)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-1449355739
  • Dimensions: 7 x 2.8 x 9.19 inches