Find the Best Books In Computer Science | Expert Recommendations

Does this amazing book signify what will happen if someday machine brains surpass the intelligence of the human brain? The question is worth considering as we all know that human minds are creative and are capable of thinking outside the box, and that’s the difference between human beings and animals. As with time, things are getting digitized, and everything is moving towards progression, so there is the possibility that machines will someday take the place of humans as they are more efficient and helpful in providing productive results as compared to humans. The writer has laid the foundation for understanding the future of humanity and intelligent life. While reading this book, you will feel like you are on a fascinating journey that starts with thoughts on the human condition and finishes with the sometimes horrifying future of intelligent life. The writer’s significant questions and themes that focus on morality make this book a must-read for all those who are aspiring to greatness in the world of computer science. This book can do wonders to develop an in-depth, critical perspective of the human mind and machines.

In this piece, Jaime explains who product designers can use entrepreneurial strategy to create innovative products. It is an excellent piece for digital professionals dealing with the business end of design and user experience strategies from start-up to marketing. It addresses the human elements and explains the development and marketing processes in the simplest terms.

As the name suggests, this is the best Computer Science book for technophiles who want to venture more into the world of codes. It is not a technical book but dwells more on how we apply computer codes in various aspects of our everyday life. Charles Petzold illustrates and comprehends a story that will help you discover the modern world of PC, the internet, and digital media. Code is an excellent book for all computer science students, no matter their level of technical savvy.

This is a must-read for anyone that wants to understand the history of the world of Computer Science. The first copy came out in 1981, but this book is still one of the best and most relevant pieces ever. In this piece, Kidder carefully traces the happenings at the early stages of computers at the age when only one company was defying all odds to introduce a new microcomputer to the mass market. It also touches on the go-for-broke approach, something that most tech giants still maintain.

Very thorough explanation of theory, feel like I can grasp lessons quicker than being in a classroom.

This book is a perfect for introducing computer science to young children. The littlest ones will enjoy lifting the flaps while you explain the concepts. And wary readers can tackle the book on their own. The illustrations will help keep their attention. The thing I like most about it is that it gets my kids excited to learn more about the subject. They always ask questions about what they’re reading in this book.

This is an excellent book for an older child that is ready to put computer science concepts to work. Kids have fun doing the projects – there are a ton of activities to satisfy all interests. Everything is explained step-by-step so kids can do it all on their own (although it’s fun for parents to participate too!).

In my opinion, this is a much better first-intro guide to how to write a compiler than the Dragon book that everyone else always brings up. It’s easier to understand and presumes much less familiarity with theoretical PL.

There’s an odd phobia of numerical mathematics in most of the people going into computer science nowadays and it’s quite baffling, considering the field is named after the science of computing stuff. Even if you have a terrible preconception of Matlab (god knows I did), this book will be very eye-opening.

Slightly more in-depth than 4, this is a very conversational paper (I’ve found that most publications by SIAM are quite easy to read) and very mindblowing.

I took a course whose lecture notes made up the first draft of this text, and I have to say that this opened up my eyes to a whole new horizon of algorithmic thinking (focusing on approximating solutions to hard-to-compute problems using various refinement/transformation techniques)

This is a digestible introduction to the theoretical side of the study of programming languages as a computational algebra. It’s quite neat and is very constructive (even in its proofs!)

This little gem was one of the greats of the field. A little hard to understand at times and not as intuition-driven as the previous title, but a great form foundation for the theory.