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A Programmer's Guide to Computer Science

2020-01-03 Computers
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Release : 2020-01-03
Genre : Computers
Kind : eBook
Book Rating : 037/5 ( reviews)

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Book Synopsis A Programmer's Guide to Computer Science by : William M Springer II

Download or read book A Programmer's Guide to Computer Science written by William M Springer II. This book was released on 2020-01-03. Available in PDF, EPUB and Kindle. Book excerpt: You know how to code..but is it enough? Do you feel left out when other programmers talk about asymptotic bounds? Have you failed a job interview because you don't know computer science? The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree. Volume one covers the most frequently referenced topics, including algorithms and data structures, graphs, problem-solving techniques, and complexity theory. When you finish this book, you'll have the tools you need to hold your own with people who have - or expect you to have - a computer science degree.

Essential Computer Science

2021-06-26 Computers
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Release : 2021-06-26
Genre : Computers
Kind : eBook
Book Rating : 063/5 ( reviews)

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Book Synopsis Essential Computer Science by : Paul D. Crutcher

Download or read book Essential Computer Science written by Paul D. Crutcher. This book was released on 2021-06-26. Available in PDF, EPUB and Kindle. Book excerpt: Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more. According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs. To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to become an efficient computer engineer or advanced developer. What You Will Learn The fundamentals of how a computer works The basics of computer programming and programming paradigms How to write efficient programs How the hardware and software work together to provide a good user experience and enhance the usability of the system How computers can talk to each other How to ensure the security of the system The fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurations The fundamentals of machine learning Who This Book Is For Computer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals

A Programmer's Guide to Computer Science Vol. 2

2020-08-11 Computers
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Release : 2020-08-11
Genre : Computers
Kind : eBook
Book Rating : 044/5 ( reviews)

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Book Synopsis A Programmer's Guide to Computer Science Vol. 2 by : William M. Springer

Download or read book A Programmer's Guide to Computer Science Vol. 2 written by William M. Springer. This book was released on 2020-08-11. Available in PDF, EPUB and Kindle. Book excerpt: You know how to code... ...but is it enough?Do you feel left out when other programmers talk about asymptotic bounds?Have you failed a job interview because you don't know computer science?Volume two picks up where volume one left off, covering proofs, security, hardware and software, and various advanced topics.You've learned the basics. Are you ready for what comes next?

The Self-Taught Programmer

2022-01-13
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Release : 2022-01-13
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Kind : eBook
Book Rating : 103/5 ( reviews)

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Book Synopsis The Self-Taught Programmer by : Cory Althoff

Download or read book The Self-Taught Programmer written by Cory Althoff. This book was released on 2022-01-13. Available in PDF, EPUB and Kindle. Book excerpt:

The Programmer's Guide To Theory: Great Ideas Explained

2019-11-24 Computers
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Release : 2019-11-24
Genre : Computers
Kind : eBook
Book Rating : 437/5 ( reviews)

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Book Synopsis The Programmer's Guide To Theory: Great Ideas Explained by : Mike James

Download or read book The Programmer's Guide To Theory: Great Ideas Explained written by Mike James. This book was released on 2019-11-24. Available in PDF, EPUB and Kindle. Book excerpt: Computer science, specifically the theory of computation, deserves to be better known even among non-computer scientists. The reason is simply that it is full of profound thoughts and ideas. It contains some paradoxes that reveal the limits of human knowledge. It provides ways to reason about information and randomness that are understandable without the need to resort to abstract math. This is not an academic textbook but could be the precursor to reading an academic textbook. In Programmer's Guide to Theory, you will find the fundamental ideas of computer science explained in an informal and yet informative way. The first chapter sets the scene by outlining the challenges of understanding computational theory. After this the content is divided into three parts. The first explores the question "What is Computable?" introducing the Turing Machine, the Halting Problem and Finite State Machines before going on to consider the different types of computing model that are available and the languages they produce. This part also covers the different types of numbers and of infinities which paves the way for considering the topics of Kolmogorov Complexity and randomness, the Axiom of Choice, Godel's Incompleteness and the Lambda Calculus. Part II switches to lower-level concerns - from bits to Boolean logic covering information theory and error correction along the way. Part III dives deeper into computational complexity, considers polynomial-time versus exponential-time problems and then explores the benefits of recursion. It concludes with a discussion of NP (non-deterministic polynomial) versus P (polynomial) algorithms. Don't be put off by this list of unfamiliar concepts. This book sets out to lead you from one topic to the next so that the ideas are unfolded gradually. It does cover all the ideas that are fundamental to computer science, plus some that are not normally included but make things easier to understand, but does so in a very approachable, and even entertaining way. Mike James is editor of I-Programmer.info, an online magazine written by programmers for programmers. He has a BSc in Physics, an MSc in Mathematics and a PhD in Computer Science. His programming career spans several generations of computer technology but he keeps his skills completely up to date. As an author he has published dozens of books and hundreds of print articles, a tradition he now continues online.

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