The Programmer S Guide To Theory Great Ideas Explained
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The Programmer S Guide To Theory Great Ideas Explained
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Author : Mike James
language : en
Publisher:
Release Date : 2019-11-24
The Programmer S Guide To Theory Great Ideas Explained written by Mike James and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-24 with Computers categories.
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.
The Self Taught Programmer
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Author : Cory Althoff
language : en
Publisher: Hachette UK
Release Date : 2022-01-13
The Self Taught Programmer written by Cory Althoff and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
'One of the best software design books of all time' - BookAuthority Cory Althoff is a self-taught programmer. After a year of self-study, he learned to program well enough to land a job as a software engineer II at eBay. But once he got there, he realised he was severely under-prepared. He was overwhelmed by the amount of things he needed to know but hadn't learned. His journey learning to program, and his experience in first software engineering job were the inspiration for this book. This book is not just about learning to program, although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, Althoff also cover the rest of the things you need to know to program professionally that classes and books don't teach you. The Self-taught Programmer is a roadmap, a guide to take you from writing your first Python program to passing your first technical interview. The book is divided into five sections: 1. Learn to program in Python 3 and build your first program. 2. Learn object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash and regular expressions. Then use your new coding skills to build a web scraper. 4. Study computer science fundamentals like data structures and algorithms. 5. Finish with best coding practices, tips for working with a team and advice on landing a programming job. You can learn to program professionally. The path is there. Will you take it? From the author I spent one year writing The Self-Taught Programmer. It was an exciting and rewarding experience. I treated my book like a software project. After I finished writing it, I created a program to pick out all of the code examples from the book and execute them in Python to make sure all 300+ examples worked properly. Then I wrote software to add line numbers and color to every code example. Finally, I had a group of 200 new programmers 'beta read' the book to identify poorly explained concepts and look for any errors my program missed. I hope you learn as much reading my book as I did writing it. Best of luck with your programming!
Essential Computer Science
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Author : Paul D. Crutcher
language : en
Publisher: Apress
Release Date : 2021-06-26
Essential Computer Science written by Paul D. Crutcher and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-26 with Computers categories.
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
Grokking Simplicity
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Author : Eric Normand
language : en
Publisher: Simon and Schuster
Release Date : 2021-05-18
Grokking Simplicity written by Eric Normand and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Computers categories.
Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they''re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technology Even experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that''s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the book In Grokking Simplicity, you''ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional programmer Eric Normand guides you to a crystal-clear understanding of why certain features of modern software are so prone to complexity and introduces you to the functional techniques you can use to simplify these systems so that they''re easier to read, test, and debug. Through hands-on examples, exercises, and numerous self-assessments, you''ll learn to organize your code for maximum reusability and internalize methods to keep unwanted complexity out of your codebase. Regardless of the language you''re using, the ways of thinking in this book will help recognize problematic code and tame even the most complex software. what''s inside Apply functional programming principles to reduce codebase complexity Work with data transformation pipelines for code that''s easier to test and reuse Tools for modeling time to simplify asynchrony 60 exercises and 100 questions to test your knowledge about the reader For experienced programmers. Examples are in JavaScript. about the author Eric Normand has been a functional programmer since 2001 and has been teaching functional programming online and in person since 2007. Visit LispCast.com to see more of his credentials.
Category Theory For Programmers New Edition Hardcover
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Author : Bartosz Milewski
language : en
Publisher:
Release Date : 2019-08-24
Category Theory For Programmers New Edition Hardcover written by Bartosz Milewski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-24 with categories.
Category Theory is one of the most abstract branches of mathematics. It is usually taught to graduate students after they have mastered several other branches of mathematics, like algebra, topology, and group theory. It might, therefore, come as a shock that the basic concepts of category theory can be explained in relatively simple terms to anybody with some experience in programming.That's because, just like programming, category theory is about structure. Mathematicians discover structure in mathematical theories, programmers discover structure in computer programs. Well-structured programs are easier to understand and maintain and are less likely to contain bugs. Category theory provides the language to talk about structure and learning it will make you a better programmer.
Python Programming
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Author : Daniel O'Reilly
language : en
Publisher:
Release Date : 2021-02-08
Python Programming written by Daniel O'Reilly and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
★ 55% OFF for Bookstores! NOW at $45.95 instead of $55.95★ Would You Like to Know How to Automate Boring Stuff Quickly? Discover the Easiest Way to Learn Everything About Python and Machine Learning! Are you ready to embark on a great journey through the incredible world of Python and data science? If you are reading this, you probably have a keen interest in programming and computer science. You like to know how things work, and you want to make them work as efficiently as possible, right? If so, then Python is the perfect programming language for you to learn! Would you like to: Learn how programming in Python works? Learn to automate tasks with Python? Bring your ideas to life faster and monetize them easily? But you: Have no prior knowledge about Python? Are a little bit afraid because it seems complicated? Well, if the answer to any question is "yes," then the solution you are looking for is right in front of you. With this incredible bundle in your hands, you will go from beginner to pro in no time. The guides found inside this bundle are designed explicitly for people with little or no prior knowledge about Python programming. Every manual is written in a step-by-step and easy to digest manner so that you can understand Python without any trouble. Here's what this bundle about Python programming and data science can offer you: Basics of programming with Python: A comprehensive guide on how to get everything up and running. Essential tools guide: Learn how to use the best tools that are available for programming with Python. Programming made easy: Quick and easy way to learn how to make amazing and useful programs. Mastering the art of programming: Find out how to go from beginner to pro in no time with unique coding methods. Practical techniques and exercises: Put your knowledge to test and bring your ideas to life in no time. It doesn't matter if you are a beginner or you have never coded before; this guide will slowly ease you into the world of Python and data science. While most of the other similar books focus purely on theory and complicated concepts, these guides focus on a more practical approach to learning Python and data science. First of all, you'll learn basic programming concepts, such as variables, lists, classes, and loops. Then you will practice clean code writing and how to test your code safely. After that, you'll be able to put your knowledge to the test with some practical projects. Here is what else this bundle will show you: The basics of data types, variables, and structures How to properly define the data type of data structure Suitable types of operations and functions for data structuring Methods and applications of data analysis The basics of neural networks and how to create one Use of algorithm and models in data science Using data for prediction and deep learning The best thing about Python is that it's easy to learn and even easier to get up and running. By using tools like Django, for example, you can quickly bring your ideas and creations to life and start monetizing them in no time. The second best thing about learning how to program in Python is the advantage you'll have when you start learning other programming languages-after you master Python, learning different programming languages will be a piece of cake. If you want to conquer the Python programming language in no time, all you have to do is take these guides in your hands and follow the step-by-step instructions. Get Your Copy Now!
The Mathematics Of Infinity
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Author : Theodore G. Faticoni
language : en
Publisher: John Wiley & Sons
Release Date : 2006-07-06
The Mathematics Of Infinity written by Theodore G. Faticoni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-06 with Mathematics categories.
A balanced and clearly explained treatment of infinity in mathematics. The concept of infinity has fascinated and confused mankind for centuries with concepts and ideas that cause even seasoned mathematicians to wonder. For instance, the idea that a set is infinite if it is not a finite set is an elementary concept that jolts our common sense and imagination. the Mathematics of Infinity: A guide to Great Ideas uniquely explores how we can manipulate these ideas when our common sense rebels at the conclusions we are drawing. Writing with clear knowledge and affection for the subject, the author introduces and explores infinite sets, infinite cardinals, and ordinals, thus challenging the readers' intuitive beliefs about infinity. Requiring little mathematical training and a healthy curiosity, the book presents a user-friendly approach to ideas involving the infinite. readers will discover the main ideas of infinite cardinals and ordinal numbers without experiencing in-depth mathematical rigor. Classic arguments and illustrative examples are provided throughout the book and are accompanied by a gradual progression of sophisticated notions designed to stun your intuitive view of the world. With a thoughtful and balanced treatment of both concepts and theory, The Mathematics of Infinity focuses on the following topics: * Sets and Functions * Images and Preimages of Functions * Hilbert's Infinite Hotel * Cardinals and Ordinals * The Arithmetic of Cardinals and Ordinals * the Continuum Hypothesis * Elementary Number Theory * The Riemann Hypothesis * The Logic of Paradoxes Recommended as recreational reading for the mathematically inquisitive or as supplemental reading for curious college students, the Mathematics of Infinity: A Guide to Great Ideas gently leads readers into the world of counterintuitive mathematics.
E F Codd And Relational Theory A Detailed Review And Analysis Of Codd S Major Database Writings
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Author : C. J. Date
language : en
Publisher: Lulu.com
Release Date : 2019-07-18
E F Codd And Relational Theory A Detailed Review And Analysis Of Codd S Major Database Writings written by C. J. Date and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-18 with Database management categories.
E. F. Codd's relational model of data has been described as one of the three greatest inventions of all time (the other two being agriculture and the scientific method), and his receipt of the 1981 ACM Turing Award?the top award in computer science?for inventing it was thoroughly deserved. The papers in which Codd first described his model were staggering in their originality; they had, and continue to have, a huge impact on just about every aspect of the way we do business in the world today. And yet few people, even in the professional database community, are truly familiar with those papers. This book is an attempt to remedy this sorry state of affairs. In it, well known author C. J. Date provides a detailed examination of all of Codd's major technical publications, explaining the nature of his contribution in depth, and in particular highlighting not only the many things he got right but also some of the things he got wrong.
Programming Languages
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Author : Norman Ramsey
language : en
Publisher: Cambridge University Press
Release Date : 2022-10-27
Programming Languages written by Norman Ramsey and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Computers categories.
Teaches students about great programming-language ideas and how to use them in programming practice.
Introductory R A Beginner S Guide To Data Visualisation Statistical Analysis And Programming In R
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Author : Robert Knell
language : en
Publisher: Robert Knell
Release Date : 2014-05-14
Introductory R A Beginner S Guide To Data Visualisation Statistical Analysis And Programming In R written by Robert Knell and has been published by Robert Knell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with categories.
R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include: A walkthrough of the basics of R's command line interface Data structures including vectors, matrices and data frames R functions and how to use them Expanding your analysis and plotting capacities with add-in R packages A set of simple rules to follow to make sure you import your data properly An introduction to the script editor and advice on workflow A detailed introduction to drawing publication-standard graphs in R How to understand the help files and how to deal with some of the most common errors that you might encounter. Basic descriptive statistics The theory behind statistical testing and how to interpret the output of statistical tests Thorough coverage of the basics of data analysis in R with chapters on using chi-squared tests, t-tests, correlation analysis, regression, ANOVA and general linear models What the assumptions behind the analyses mean and how to test them using diagnostic plots Explanations of the summary tables produced for statistical analyses such as regression and ANOVA Writing your own functions in R Using table operations to manipulate matrices and data frames Using conditional statements and loops in R programmes. Writing longer R programmes. The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.