Best Reference Books – Open Source Programming

We have compiled the list of Top 10 Best Reference Books on Open Source Programming subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Open Source Programming along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Open Source Programming subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Open Source Programming" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Open Source Technology” by Bhavyesh Gandhi and Kailash Vadera

“Open Source Technology” Book Review: Is a book written to make the various aspects of Open Source easy and simple to understand. The contents in the book are explained clearly in terms of simple way, The book covers all the topics on basic to advanced Open Source Technology. The book covers topics such as open source principles, free softwares and licence providers, open source software development, software freedom, philosophy, open source hardware, open source designs, Pajamas media and open source ethics. The book also contains case studies on Apache, Wikipedia, Mozilla firefox, Linux and so on. The book covers all these topics in a clear and efficient way by using some examples. At the end of each chapter they have provided a summary of the lesson which gives a quick glimpse over the lessons and review questions which are useful for the readers to take a note on important topics in that lesson.

2. “Beginning R: The Statistical Programming Language” by Mark Gardener

“Beginning R: The Statistical Programming Language” Book Review: R language is a statistical programming environment and language. R is free and open source and is available to everyone.This book introduces you to R, RStudio, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, This book covers topics such as statistical methods, t-test, correlation, tests of association, Analysis of Variance and Linear Regression, complex analytical situations, ways to make and rearrange your data, basic regression as well as complex model building and curvilinear regression This book is for anyone who needs to analyze any data, whatever their discipline or line of work. Whether you are in science, business, medicine, or engineering, you will have data to analyze and results to present. R is powerful and flexible and completely cross-platform.Each chapter begins with an overview of the topics you will learn. Throughout the text, all the concepts are illustrated with simple examples. You can also download the data from the companion websites given which will help you to code and learn as well.

3. “Data Analysis with Open Source Tools” by Philipp K Janert

“Data Analysis with Open Source Tools” Book Review: This book introduces readers to various areas in data science and explains which methodologies work best for each. The book clearly explains the process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and take the decision based upon the data analysis.The book is broadly divided into four parts on Graphics: Looking at Data, Analytics: Modeling Data, Computation: Mining Data and Applications. Use graphics to describe data with one, two, or dozens of variables. The book covers topics to develop conceptual models using back-of-the-envelope calculations, probability arguments, Mining data using simulation and clustering, metrics programs, dimensional reduction techniques or predictive analytics. It also covers different open source programming environments for data analysis. The book also mentions Octave, a clone of Matlab. Python and Java are also given a brief description. After the completion of the book we can become familiar with different open source programming environments for data analysis.

4. “Perspectives on Free and Open Source Software” by Joseph Feller and Brian Fitzgerald
5. “Ruby For Beginners: Your Guide To Easily Learn Ruby Programming in 7 days” by iCode Academy and Ruby Programming

“Ruby For Beginners: Your Guide To Easily Learn Ruby Programming in 7 days” Book Review: “Ruby for beginners” helps us to learn the ruby language easily and acts as a complete guide for the users. The book is created in such a way that even inexperienced programmers can code like professionals. This book helps the learners to cover every topic that a programmer should learn. Even though the book is for mere beginners it lays a deep foundation on the fundamentals and the book also covers advanced topics on Ruby. At the end of each topic and chapter they have provided practice programs or exercises which helps us to improve our coding experience. These exercises are easy to understand and simple. While programming whatever the error that comes , solve it and keep a note of those error messages that you may encounter. This will help us to overcome the errors in future. The book covers chapters such as getting acquainted with ruby, Initial preparations, Start with the basics, Ruby variables, All about Methods, flow controls, Iterations and loops, More on arrays and hashes.As you go through each lesson, you will notice that it is quite simple and explained in a way easy to understand. It becomes much simpler when you have interest and passion towards it. As you go through the simple problems it may look easy and familiar, but working on hard and complex problems gives us an exact knowledge where and how and where the concepts are correctly used.

6. “Unix Shell Programming” by Yashavant P Kanetkar

“Unix Shell Programming” Book Review: Unix Shell Programming is a guidebook for the beginners and also helps those where to start learning unix. This book helps us to explore the world of Unix in a clear manner and helps us to learn both basics and advanced concepts in a detailed manner. In the goal of laying a strong foundation the book covers all the variety of topics in a detailed way. The book has sixteen chapters in it. The book covers topics such as shell commands, unix system services. Shell responsibilities, loop control structures, pipes in single process, Inter process communication,shell metacharacters, vi editor,filters in Unix and its uses, tricks of trade, syntax of system calls, conditional expressions in Bourne shell,system administrators, file descriptors, fork function, flag, zombie function and so on. The book tells us all the commands in unix, and a brief description of those commands, where to use it and its syntaxes. The book starts explaining unix from a beginner’s point of view and goes a long way that takes us through the philosophy that was involved while building unix. Thus learning this book helps us to become a professional in Unix!!

7. “Linux Kernel Networking: Implementation and Theory (Expert’s Voice in Open Source)” by Rami Rosen

“Linux Kernel Networking: Implementation and Theory (Expert’s Voice in Open Source)” Book Review: Linux Kernel Networking”clearly explains all the current Linux networking implementations. The book also covers theory portions in depth. It provides an organized learning path. It also helps you to gain mastery of the most useful and important commands. This is an ideal reference book for both novice or who wants to get up to speed on Linux or experienced users. The book teaches you the concepts behind Linux internals. It is ideal reference material for anyone curious to know about the operating system’s inner workings. You will be guided using step by step logical and systematic approach. The book contains quick references at the end of each chapter which helps to get a quick-recap of the chapter. The book also explains Linux based virtualization technologies such as Xen and KVM. Linux Kernel Networking is an up-to-date reference guide. By the end of this Linux book, you will fully understand the most important and fundamental concepts of Linux server administration. Moreover, you will be able to put those concepts to use in various real-world situations.

8. “JavaTM Open Source Programming: with XDoclet, JUnit, WebWork, Hibernate (Java Open Source Library)” by Joseph Walnes and Ara Abrahamian
9. “Cross-Platform GUI Programming with wxWidgets (Bruce Perens’ Open Source)” by Julian Smart and Kevin Hock with
10. “HTML5 and CSS3 Transition, Transformation and Animation (Open Source)” by Aravind Shenoy and Gianluca Daniele Guarini
People who are searching for Free downloads of books and free pdf copies of these top 10 books on Open Source Programming – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Open Source Programming" so that one can readily see the list of top books on "Open Source Programming" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Open Source Programming subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter