Download Ebook Computer Science Distilled: Learn the Art of Solving Computational Problems, by Wladston Ferreira Filho
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Computer Science Distilled: Learn the Art of Solving Computational Problems, by Wladston Ferreira Filho
Download Ebook Computer Science Distilled: Learn the Art of Solving Computational Problems, by Wladston Ferreira Filho
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A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.
Product details
Paperback: 180 pages
Publisher: Code Energy LLC (January 17, 2017)
Language: English
ISBN-10: 0997316020
ISBN-13: 978-0997316025
Product Dimensions:
5.4 x 0.5 x 8.4 inches
Shipping Weight: 12 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
87 customer reviews
Amazon Best Sellers Rank:
#18,608 in Books (See Top 100 in Books)
I truly wish this book had existed when I was in school. If you want a painless introduction to the very core of computer science, This is it!The concepts that are explained in the book are useful for any level, from beginner to advanced in my opinion. It has helped me tremendously to strengthen concepts I had trouble with in the past, and the author manages to explain it in a way that's light and entertaining at the same time.I'm particularly glad that the author starts from the ground up, with a gentle introduction to the Maths you will need. Very few books (If any) take the trouble of dedicating a couple of chapters to Math alone before diving into how it's used in Computer Science.The title of the book perfectly summarizes what the author managed to successfully do, which is to 'Distill' every CS concept and present it in a way that's brain-friendly. In Summary, the best introduction to CS you will ever find.
I absolutely enjoyed this book. I would highly recommend it for people new to programming and computer science. I think Wladston has done an outstanding job making the concepts in this book easily digestible. As a newcomer to computer science, not once did I scratch my head or felt overwhelmed by the information in this book. Wladston in my opinion did an outstanding job explaining the concepts through pseudocode and visuals. The satire images also helped with the explanation and keeping it fun. Though I wish there were a view more. This is a great book for getting your feet wet with computer science. I can't wait for a follow up on this book or one that tackles a more specialized area. Great Job!
My first impression was, "this thing is tiny" and it is. It's 160 pages about half an inch thick, but once you dive into the material you realize it's very full of information and it takes a while to digest. I'm 3 hours deep and have only read 27 pages. It cuts right down to the point, exactly as the title describes
I am a self-taught python coder, who wanted to learn more about the field without getting bogged down in details for 4 years. So I bought this book to help me get a good overview of major concepts in computer science.The book does a great job of giving the reader a broad overview of computing concepts ranging from time complexity to databases to memory management.It’s a great reference for anyone who wants to expand his/her/their horizons beyond their immediate field of expertise.I found the book easy and fun to read. Also I discovered some concepts that I’d like to explore further.I’d recommend this book to anyone who has gotten into programming from a non-sc background.
It's a good but brief overview of Computer Science. It however leaves out some important pieces from the sections that I was already familiar with, e.g. failing to mention that in a Set all the items must be distinct/unique. Also, I think using pseudo code for the examples was a very poor choice. First of all, the code is already nearly the same as what it would look like in real Python code. Second, it doesn't make it any easier to understand for someone new to coding. If the author were trying to make it easy to understand an algorithm, it would have been better to use a kind of literate code (like cooking recipes). I think it's a pretty good jumping off point, but I felt disappointed overall. As a different starting point I'd recommendGrokking Algorithms by Aditya Bhargava.
I really like this book. It has a nice soft cover, and I like the use of colorful emojis in the examples. It provides clear and concise introductions to a variety of computer science concepts. I am just getting started on my journey trying to teach myself programming, and this book provides a decent explanation for some entry level concepts that I may have heard of before in passing, but now feel confident enough about to discuss with my friends with actual degrees in CS.
I enjoyed the information about data structures, algorithms and computer architecture. There are lots of typos in this book, but they won't prevent you from learning some valuable stuff.
This book is exactly what I was looking for. When learning programming, you're usually taught a lot of tricks and techniques without fully understanding how they originated or are related.Upon reading this book I immediately recognised certain topics that I've come across before in disjoint ways and without context (things like endianness, probability theory and Big O notation for e.g.). The book does a great job of collecting, organising and explaining these concepts in an easily digestible format. It starts with core concepts, moves on to how these are expressed language constructs and in the hardware, and then concludes with some practical implementations of these concepts in things anyone learning programming would recognise.I'd highly recommend for anyone who has even a remote interest in learning from first principles and who has a mind for problem-solving and using code creatively vs. simple rote application of programming techniques and frameworks.
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