Best Software Coding Theory Books
Software Coding Theory Books search results to buy online.
1. Blockchain Bubble or Revolution: The Future of Bitcoin, Blockchains, and Cryptocurrencies
Author: by Neel Mehta
Published at: Paravane Ventures (June 12, 2019)
Some experts say that Bitcoin and cryptocurrencies are just a scam; others say they’re “the most important invention since the internet.” It’s hard to tell who’s right. Authored by Silicon Valley leaders from Google, Microsoft, and Facebook, Bubble or Revolution cuts through the hype to offer a balanced, comprehensive, and accessible analysis of blockchains and cryptocurrencies.
You’ll learn the core concepts of Bitcoin and blockchain technologies to understand their strengths and weaknesses from real-world case studies; dive deep into their technical, economic, political, and legal complexities; and gain insights about their future from exclusive interviews with dozens of tech industry leaders.
Are blockchains and cryptocurrencies like Bitcoin a bubble or a revolution? We’ll help you decide for yourself. What’s inside:Bitcoin and the blockchainHow Bitcoin and blockchains work from a technical perspective with no assumed technical knowledgeSatoshi Nakamoto and the history of Bitcoin, the original blockchainA thorough overview of crucial crypto concepts (eg.
2. Error Control Coding
Author: by Shu Lin
Published at: Pearson; 2nd edition (May 28, 2004)
A reorganized and comprehensive major revision of a classic book, this edition provides a bridge between introductory digital communications and more advanced treatment of information theory. Completely updated to cover the latest developments, it presents state-of-the-art error control techniques. KEY TOPICS: Coverage of the fundamentals of coding and the applications of codes to the design of real error control systems.
Contains the most recent developments of coded modulation, trellises for codes, soft-decision decoding algorithms, turbo coding for reliable data transmission and other areas. There are two new chapters on Reed-Solomon codes and concatenated coding schemes. Also contains hundreds of new and revised examples; and more than 200 illustrations of code structures, encoding and decoding circuits and error performance of many important codes and error control coding systems.
MARKET: Appropriate for those with minimum mathematical background as a comprehensive reference for coding theory.
3. PowerShell for Beginners: The Complete Guide to Master Windows PowerShell Scripting
Author: by Chase Clarke
Published at: Independently published (March 9, 2020)
WHAT IS POWERSHELL?Windows PowerShell is an item situated robotization motor and scripting language. It is primarily aimed at system administrators. It causes IT experts, to control and mechanize the administration of the Windows operating system and other applications. While many casual users know about the Command Prompt, only a few have heard about Windows PowerShell.
PowerShell is a much more powerful tool than the Command Prompt. It is also intended to replace the Command Prompt, as it delivers more power and control over the Windows operating system. Windows PowerShell is a shell initially developed by Microsoft for the purposes of task automation and configuration management.
PowerShell is now an open source project, and it can be installed on Windows, macOS, and Linux platforms. This shell is based on the . NET framework, and it includes a command-line shell and a scripting language. POWERSHELL FOR BEGINNERS contains chapters on…
HISTORY OF POWERSHELL LEARNING POWERSHELL FROM THE START WHAT IS POWERSHELL ISETHE DIFFERENCE BETWEEN POWERSHELL AND CMDPOWERSHELL PROVIDERS AND MODULESWHAT MAKES A POWERSHELL OBJECT? OTHER POWERSHELL COMMANDSUNDERSTANDING OF POWERSHELL FOREACH LOOP AND FOREACH-OBJECT WINDOWS POWERSHELL PROVIDERS. Who is this book for?
4. Foundations of Cryptography: Volume 1, Basic Tools
Author: by Oded Goldreich
Published at: Cambridge University Press; 1st edition (January 1, 2007)
Cryptography is concerned with the conceptualization, definition and construction of computing systems that address security concerns. This book presents a rigorous and systematic treatment of the foundational issues: defining cryptographic tasks and solving new cryptographic problems using existing tools. It focuses on the basic mathematical tools: computational difficulty (one-way functions), pseudorandomness and zero-knowledge proofs.
Rather than describing ad-hoc approaches, this book emphasizes the clarification of fundamental concepts and the demonstration of the feasibility of solving cryptographic problems. It is suitable for use in a graduate course on cryptography and as a reference book for experts.
5. Probability: Risk Management, Statistics, Combinations and Permutations for Business
Author: by Daniel Covington
Published at: Independently published (March 17, 2020)
Are you someone who struggles or used to struggle with Mathematics at school? Causing you to be totally averse to the subject? If you are, do you realize that certain aspects of Mathematics can be very useful for you to know in the real world?
Whether you are retail employee or a budding entrepreneur, or really just someone looking to contribute to your place of work, you will surely encounter problems that require planning and analysis to address them. What you may not know is that, most of the time statistics, specifically probability and its concepts, will often give you an edge in identifying solutions and strategies to help you move forward with a great plan.
And you’re in luck because in this book you will get to know what probability is and more importantly, how it can help you solve the problems you encounter in your business work and day-to-day life. Specifically this book will help you:How to summarize dataMeasure variabilityLearn the core concepts of probabilityGain knowledge of probability distributions and their functionsRealize the importance of probability rules in businessBecome adept at using probabilities in life and at workIdentify the types of risk your business can faceHow to effectively manage risk using probabilityUnderstand how to use probability and statistics in businessHow to optimize your business and improve brand loyaltyLearn how to improve your customer experience and predict customer behaviorUnderstand the components of the business intelligence infrastructureGive your business an edge by learning more about probability and how it can help you.DO NOT DELAY!
6. Foundations of Cryptography: Volume 2, Basic Applications
Author: by Oded Goldreich
Published at: Cambridge University Press; 1st edition (September 1, 2009)
Cryptography is concerned with the conceptualization, definition, and construction of computing systems that address security concerns. The design of cryptographic systems must be based on firm foundations. Building on the basic tools presented in the first volume, this second volume of Foundations of Cryptography contains a rigorous and systematic treatment of three basic applications: Encryption, Signatures, and General Cryptographic Protocols.
It is suitable for use in a graduate course on cryptography and as a reference book for experts. The author assumes basic familiarity with the design and analysis of algorithms; some knowledge of complexity theory and probability is also useful.
Also available: Volume I: Basic Tools 0-521-79172-3 Hardback $75.00 C
7. Secrets of Making and Breaking Codes: A Hands-on Guide to Both Simple and Sophisticated Codes to Easily Help You Become a Codemaster
Author: by Hamilton Nickels
Published at: Skyhorse (July 15, 2014)
Ever since humans first began to communicate, we’ve had secrets to keep secrets of state, war, business, or the heart. From the moment the first secret message was sent, others were busy trying to decipher it. By rearranging, substituting, or transposing symbols, any message can be encoded or decoded if you know how.
Secrets of Making and Breaking Codes is a practical field manual designed to teach you the basic mechanics of enciphering and deciphering communications. The author has used his extensive knowledge of and experience in electronic communications and languages as well as his decades of fascination with secret codes to demystify the field of cryptology.
Hamilton Nickels uses plain, uncomplicated English and simple, workable systems that rely on neither advanced mathematics, nor on ethereal philosophies. This is the only hands-on guide to both the simplest cipher schemes that need little more than scratch paper and a pencil to crack as well as more sophisticated codes that use one-time code books, pocket calculators, and the most advanced computer-based systems used by the military and diplomatic corps of most governments.
8. Coding and Information Theory (Graduate Texts in Mathematics, 134)
Author: by Steven Roman
Published at: Springer; 1992nd edition (June 4, 1992)
This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion.
The first quarter of the book is devoted to information theory, including a proof of Shannon’s famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book.
After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.
9. Python for Beginners: Master Data Science, Artificial Intelligence and Machine Learning with this Smart Python Programming Language Guide
Author: by Oscar Brogan
Published at: Independently published (February 24, 2020)
Are you new to software development and looking for a breakthrough in the world of machine learning and artificial intelligence? Then you have found just the book you need to understand master the Python programming language to develop a winning machine learning model as well as gain a solid understanding of the fundamentals of data science, machine learning, and artificial intelligence technology.
Python programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike. This book is written to help you master the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume.
Python was designed primarily to emphasize the readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations.
10. Error Correcting Codes: A Mathematical Introduction (Chapman Hall/CRC Mathematics Series)
Author: by D J. Baylis
Published at: Chapman and Hall/CRC; 1st edition (December 4, 1997)
Assuming little previous mathematical knowledge, Error Correcting Codes provides a sound introduction to key areas of the subject. Topics have been chosen for their importance and practical significance, which Baylis demonstrates in a rigorous but gentle mathematical style. Coverage includes optimal codes; linear and non-linear codes; general techniques of decoding errors and erasures; error detection; syndrome decoding, and much more.
Error Correcting Codes contains not only straight maths, but also exercises on more investigational problem solving. Chapters on number theory and polynomial algebra are included to support linear codes and cyclic codes, and an extensive reminder of relevant topics in linear algebra is given.
Exercises are placed within the main body of the text to encourage active participation by the reader, with comprehensive solutions provided. Error Correcting Codes will appeal to undergraduate students in pure and applied mathematical fields, software engineering, communications engineering, computer science and information technology, and to organizations with substantial research and development in those areas.
11. Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)
Author: by Steven Roman
Published at: Springer; 1997th edition (November 26, 1996)
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes.
The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon’s Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.