The Self-Taught Computer Scientist

Download The Self-Taught Computer Scientist PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119724333
Total Pages : 336 pages
Book Rating : 4.39/5 ( download)

DOWNLOAD NOW!


Book Synopsis The Self-Taught Computer Scientist by : Cory Althoff

Download or read book The Self-Taught Computer Scientist written by Cory Althoff and published by John Wiley & Sons. This book was released on 2021-09-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school! Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn’t learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science. The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer. Learn different algorithms including linear and binary search and test your knowledge with feedback loops Understand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs Prepare for technical interviews and feel comfortable working with more experienced colleagues Discover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an "always be learning" mindset? The Self-Taught Computer Scientist is for you.

The Self-Taught Programmer

Download The Self-Taught Programmer PDF Online Free

Author :
Publisher : Robinson
ISBN 13 : 9781472147103
Total Pages : 368 pages
Book Rating : 4.03/5 ( download)

DOWNLOAD NOW!


Book Synopsis The Self-Taught Programmer by : Cory Althoff

Download or read book The Self-Taught Programmer written by Cory Althoff and published by Robinson. This book was released on 2022-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Programmer's Guide to Computer Science

Download A Programmer's Guide to Computer Science PDF Online Free

Author :
Publisher :
ISBN 13 : 9781951204037
Total Pages : 188 pages
Book Rating : 4.34/5 ( download)

DOWNLOAD NOW!


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 and published by . This book was released on 2020-01-03 with total page 188 pages. 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.

Computer Science Distilled

Download Computer Science Distilled PDF Online Free

Author :
Publisher : Code Energy
ISBN 13 : 0997316012
Total Pages : 188 pages
Book Rating : 4.18/5 ( download)

DOWNLOAD NOW!


Book Synopsis Computer Science Distilled by : Wladston Ferreira Filho

Download or read book Computer Science Distilled written by Wladston Ferreira Filho and published by Code Energy. This book was released on 2017-01-17 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

Download A Common-Sense Guide to Data Structures and Algorithms, Second Edition PDF Online Free

Author :
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680508059
Total Pages : 714 pages
Book Rating : 4.55/5 ( download)

DOWNLOAD NOW!


Book Synopsis A Common-Sense Guide to Data Structures and Algorithms, Second Edition by : Jay Wengrow

Download or read book A Common-Sense Guide to Data Structures and Algorithms, Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

A Practical Introduction to Data Structures and Algorithm Analysis

Download A Practical Introduction to Data Structures and Algorithm Analysis PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.65/5 ( download)

DOWNLOAD NOW!


Book Synopsis A Practical Introduction to Data Structures and Algorithm Analysis by : Clifford A. Shaffer

Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.

A Programmer's Guide to Computer Science Vol. 2

Download A Programmer's Guide to Computer Science Vol. 2 PDF Online Free

Author :
Publisher : Jaxson Media
ISBN 13 : 9781951204044
Total Pages : 136 pages
Book Rating : 4.42/5 ( download)

DOWNLOAD NOW!


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 and published by Jaxson Media. This book was released on 2020-08-11 with total page 136 pages. 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?

Algorithms from THE BOOK

Download Algorithms from THE BOOK PDF Online Free

Author :
Publisher : SIAM
ISBN 13 : 1611976170
Total Pages : 227 pages
Book Rating : 4.75/5 ( download)

DOWNLOAD NOW!


Book Synopsis Algorithms from THE BOOK by : Kenneth Lange

Download or read book Algorithms from THE BOOK written by Kenneth Lange and published by SIAM. This book was released on 2020-05-04 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics. This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks. Written in clear, instructive language within the constraints of mathematical rigor, Algorithms from THE BOOK includes a large number of classroom-tested exercises at the end of each chapter. The appendices cover background material often omitted from undergraduate courses. Most of the algorithm descriptions are accompanied by Julia code, an ideal language for scientific computing. This code is immediately available for experimentation. Algorithms from THE BOOK is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.

Classic Computer Science Problems in Python

Download Classic Computer Science Problems in Python PDF Online Free

Author :
Publisher : Simon and Schuster
ISBN 13 : 1638355231
Total Pages : 331 pages
Book Rating : 4.36/5 ( download)

DOWNLOAD NOW!


Book Synopsis Classic Computer Science Problems in Python by : David Kopec

Download or read book Classic Computer Science Problems in Python written by David Kopec and published by Simon and Schuster. This book was released on 2019-03-05 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems

Guide to Teaching Computer Science

Download Guide to Teaching Computer Science PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 1447166302
Total Pages : 306 pages
Book Rating : 4.06/5 ( download)

DOWNLOAD NOW!


Book Synopsis Guide to Teaching Computer Science by : Orit Hazzan

Download or read book Guide to Teaching Computer Science written by Orit Hazzan and published by Springer. This book was released on 2015-01-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents both a conceptual framework and detailed implementation guidelines for computer science (CS) teaching. Updated with the latest teaching approaches and trends, and expanded with new learning activities, the content of this new edition is clearly written and structured to be applicable to all levels of CS education and for any teaching organization. Features: provides 110 detailed learning activities; reviews curriculum and cross-curriculum topics in CS; explores the benefits of CS education research; describes strategies for cultivating problem-solving skills, for assessing learning processes, and for dealing with pupils’ misunderstandings; proposes active-learning-based classroom teaching methods, including lab-based teaching; discusses various types of questions that a CS instructor or trainer can use for a range of teaching situations; investigates thoroughly issues of lesson planning and course design; examines the first field teaching experiences gained by CS teachers.