Mastering C For Advanced Data Structures

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Mastering C for Advanced Data Structures

Author : Sivakumar R D
Publisher : 978-93-6128-423-6
ISBN 13 : 9789361284236
Total Pages : 0 pages
Book Rating : 4.2/5 (842 download)

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Book Synopsis Mastering C for Advanced Data Structures by : Sivakumar R D

Download or read book Mastering C for Advanced Data Structures written by Sivakumar R D and published by 978-93-6128-423-6. This book was released on 2024-04-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Mastering C for Advanced Data Structures"! This book is designed for programmers and software developers who have a good understanding of the C programming language and are eager to delve deeper into the world of advanced data structures. In the ever-evolving landscape of computer science and software development, a solid grasp of data structures is essential for building efficient and scalable applications. This book aims to bridge the gap between fundamental data structures and the intricate world of advanced data structures, equipping you with the skills to tackle complex programming challenges. Key Features: Comprehensive Coverage: Explore a wide range of advanced data structures, from self-balancing trees to graph algorithms, and understand their practical applications. Hands-On Examples: Learn through practical examples and hands-on exercises that reinforce your understanding of each data structure and algorithm. Real-World Applications: Understand how these advanced data structures are applied in real-world scenarios, and gain insights into choosing the right data structure for specific problems. Performance Optimization: Master techniques for optimizing the performance of your applications by selecting and implementing the most suitable data structures. Problem-Solving Strategies: Develop problem-solving skills by tackling challenging exercises and scenarios, preparing you for coding interviews and competitive programming. Code Efficiency: Explore strategies for writing efficient and maintainable C code, emphasizing best practices in data structure implementation. Whether you are a student, a professional developer, or someone preparing for technical interviews, "Mastering C for Advanced Data Structures" is your comprehensive guide to mastering the intricacies of advanced data structures and leveraging them to build robust and efficient software. Thank you for embarking on this learning journey with us. We hope you find this book insightful and that it enhances your expertise in C programming and advanced data structures. Happy coding!

Mastering Algorithms with C

Author : Kyle Loudon
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1565924533
Total Pages : 560 pages
Book Rating : 4.5/5 (659 download)

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Book Synopsis Mastering Algorithms with C by : Kyle Loudon

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.

Advanced Algorithms and Data Structures

Author : Marcello La Rocca
Publisher : Simon and Schuster
ISBN 13 : 1638350221
Total Pages : 768 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Advanced Algorithms and Data Structures by : Marcello La Rocca

Download or read book Advanced Algorithms and Data Structures written by Marcello La Rocca and published by Simon and Schuster. This book was released on 2021-08-10 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization

Mastering Data Structures Through C Language

Author : J. B. Dixit
Publisher : Laxmi Publications, Ltd.
ISBN 13 : 9789380386720
Total Pages : 640 pages
Book Rating : 4.3/5 (867 download)

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Book Synopsis Mastering Data Structures Through C Language by : J. B. Dixit

Download or read book Mastering Data Structures Through C Language written by J. B. Dixit and published by Laxmi Publications, Ltd.. This book was released on 2010-08 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mastering Algorithms with C

Author : Kyle Loudon
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596551959
Total Pages : 564 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Mastering Algorithms with C by : Kyle Loudon

Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999-08-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques. Implementations, as well as interesting, real-world examples of each data structure and algorithm, are included. Using both a programming style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth. Anyone with a basic understanding of the C language can use this book. In order to provide maintainable and extendible code, an extra level of abstraction (such as pointers to functions) is used in examples where appropriate. Understanding that these techniques may be unfamiliar to some programmers, Loudon explains them clearly in the introductory chapters. Contents include: Pointers Recursion Analysis of algorithms Data structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs) Sorting and searching Numerical methods Data compression Data encryption Graph algorithms Geometric algorithms

Data Structures Through C++

Author : Yashavant Kanetkar
Publisher : BPB Publications
ISBN 13 : 9388511360
Total Pages : 406 pages
Book Rating : 4.3/5 (885 download)

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Book Synopsis Data Structures Through C++ by : Yashavant Kanetkar

Download or read book Data Structures Through C++ written by Yashavant Kanetkar and published by BPB Publications. This book was released on 2019-11-12 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the fundamentals of Data Structures through C++ DESCRIPTION There are two major hurdles faced by anybody trying to learn Data Structures : Most books attempt to teach it using algorithms rather than complete working programs. A lot is left to the imagination of the reader, instead of explaining it in detail. This is a different Data Structures book. It uses C++ language to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues and Linked Lists work. The readers can actually experience (rather than imagine) sorting of an array, traversing of a doubly-linked list, construction of a binary tree, etc. through carefully crafted animations that depict these processes. All these animations are available on the Downloadable DVD. In addition, it contains numerous carefully-crafted figures, working programs and real-world scenarios where different data structures are used. This would help you understand the complicated operations being performed on different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands. KEY FEATURES ¥Ê Ê Ê Strengthens the foundations, as a detailed explanation of concepts are givenÊ ¥Ê Ê Ê Focuses on how to think logically to solve a problem ¥Ê Ê Ê Algorithms used in the book are well explained and illustrated step by step ¥Ê Ê Ê Help students in understanding how data structures are implemented in programs Ê WHAT WILL YOU LEARN ÊÊÊAnalysis of Algorithms, Arrays, Linked Lists, Sparse Matrices ÊÊÊStacks, Queues, Trees, Graphs, Searching and Sorting Ê WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Data structures. Table of Contents 1. Analysis of Algorithms 2. Arrays 3. Linked Lists 4. Sparse Matrices 5. Stacks 6. Queues 7. Trees 8. Graphs 9. Searching and Sorting

Secure Programming with Static Analysis

Author : Brian Chess
Publisher : Pearson Education
ISBN 13 : 0132702029
Total Pages : 1101 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Secure Programming with Static Analysis by : Brian Chess

Download or read book Secure Programming with Static Analysis written by Brian Chess and published by Pearson Education. This book was released on 2007-06-29 with total page 1101 pages. Available in PDF, EPUB and Kindle. Book excerpt: The First Expert Guide to Static Analysis for Software Security! Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations. Static source code analysis gives users the ability to review their work with a fine-toothed comb and uncover the kinds of errors that lead directly to security vulnerabilities. Now, there’s a complete guide to static analysis: how it works, how to integrate it into the software development processes, and how to make the most of it during security code review. Static analysis experts Brian Chess and Jacob West look at the most common types of security defects that occur today. They illustrate main points using Java and C code examples taken from real-world security incidents, showing how coding errors are exploited, how they could have been prevented, and how static analysis can rapidly uncover similar mistakes. This book is for everyone concerned with building more secure software: developers, security engineers, analysts, and testers.

Mastering Algorithms with Perl

Author : Jarkko Hietaniemi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449307191
Total Pages : 708 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Mastering Algorithms with Perl by : Jarkko Hietaniemi

Download or read book Mastering Algorithms with Perl written by Jarkko Hietaniemi and published by "O'Reilly Media, Inc.". This book was released on 1999-08-18 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as: Fuzzy pattern matching for text (identify misspellings!) Finding correlations in data Game-playing algorithms Predicting phenomena such as Web traffic Polynomial and spline fitting Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl.This book assumes a basic understanding of Perl syntax and functions, but not necessarily any background in computer science. The authors explain in a readable fashion the reasons for using various classic programming techniques, the kind of applications that use them, and -- most important -- how to code these algorithms in Perl.If you are an amateur programmer, this book will fill you in on the essential algorithms you need to solve problems like an expert. If you have already learned algorithms in other languages, you will be surprised at how much different (and often easier) it is to implement them in Perl. And yes, the book even has the obligatory fractal display program.There have been dozens of books on programming algorithms, some of them excellent, but never before has there been one that uses Perl.The authors include the editor of The Perl Journal and master librarian of CPAN; all are contributors to CPAN and have archived much of the code in this book there."This book was so exciting I lost sleep reading it." Tom Christiansen

Algorithms in C

Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
ISBN 13 : 9780768682335
Total Pages : 0 pages
Book Rating : 4.6/5 (823 download)

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Book Synopsis Algorithms in C by : Robert Sedgewick

Download or read book Algorithms in C written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 1990 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms in C is a comprehensive repository of algorithms, complete with code. If you're in a pinch and need to code something up fast, this book is the place to look. Starting with basic data structures, Algorithms in C covers an enormous scope of information, with extensive treatment of searching and advanced data structures, sorting, string processing, computational geometry, graph problems, and mathematical algorithms. Although the manual often neglects to provide rigorous analysis, the text surrounding the algorithms provides clear and relevant insight into why the algorithms work.

C++ Crash Course

Author : Josh Lospinoso
Publisher : No Starch Press
ISBN 13 : 1593278896
Total Pages : 793 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis C++ Crash Course by : Josh Lospinoso

Download or read book C++ Crash Course written by Josh Lospinoso and published by No Starch Press. This book was released on 2019-09-24 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fast-paced, thorough introduction to modern C++ written for experienced programmers. After reading C++ Crash Course, you'll be proficient in the core language concepts, the C++ Standard Library, and the Boost Libraries. C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of. Designed for intermediate to advanced programmers, C++ Crash Course cuts through the weeds to get you straight to the core of C++17, the most modern revision of the ISO standard. Part 1 covers the core of the C++ language, where you'll learn about everything from types and functions, to the object life cycle and expressions. Part 2 introduces you to the C++ Standard Library and Boost Libraries, where you'll learn about all of the high-quality, fully-featured facilities available to you. You'll cover special utility classes, data structures, and algorithms, and learn how to manipulate file systems and build high-performance programs that communicate over networks. You'll learn all the major features of modern C++, including: Fundamental types, reference types, and user-defined types The object lifecycle including storage duration, memory management, exceptions, call stacks, and the RAII paradigm Compile-time polymorphism with templates and run-time polymorphism with virtual classes Advanced expressions, statements, and functions Smart pointers, data structures, dates and times, numerics, and probability/statistics facilities Containers, iterators, strings, and algorithms Streams and files, concurrency, networking, and application development With well over 500 code samples and nearly 100 exercises, C++ Crash Course is sure to help you build a strong C++ foundation.

Everyday Data Structures

Author : William Smith
Publisher : Packt Publishing Ltd
ISBN 13 : 1787129837
Total Pages : 336 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Everyday Data Structures by : William Smith

Download or read book Everyday Data Structures written by William Smith and published by Packt Publishing Ltd. This book was released on 2017-03-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to learning data structures simply and easily About This Book This book is a very practical, friendly, and useful guide that will help you analyze problems and choose the right data structures for your solution Learn to recognize data patterns for determining which structures apply to a given problem Explore the unique rules or "gotchas" that will help you become an excellent programmer Who This Book Is For If you're self-taught programmers in any language who wants to gain a solid understanding of data structures and how to use them to solve real-world problems in your day-to-day development work, then this book is for you. What You Will Learn A rapid overview of data types, applications for each type, best practices and high-level variations between platforms Review the most common data structures and build working examples in the languages used for mobile platform software development Understand advanced data structure concepts such as generic collections, searching and sorting algorithms, and recursion Learn to use Stacks (LIFO) and queues (FIFO) in your daily application Add/remove objects and nest arrays and dictionaries within another dictionary and understand why such architecture is often preferred or necessary Get acquainted with the tree structures such as heap, binary, and graphs, apply them to work Unleash the power of different sorting techniques such as bubble sort, quick sort, merge sort, insertion sort, and radix sort Perform searching operations on arrays, heaps, graphs, and binary trees in different languages In Detail If you want to learn different data structures and their real-world applications quickly through practical examples, then Everyday Data Structures is for you. This book can introduce you to new data structures and their potential applications through examples in languages common to mobile software development on the most popular platforms. The examples are presented with real-world concepts using language that everyone will understand. This book is logically divided into two parts; the first one covers the basic data structures that are built into most languages such as Objective-C, C#, Java, and Swift. It will cover detailed analysis of the common data structures such as arrays, lists, stacks, Queues, and heaps, typical applications, and specific concerns for each language. Each chapter will provide in-depth examples in several popular languages based on real-world applications. The second part will cover more advanced data structures such as generic collections, sorting, searching, and recursion and ways to use those structures in everyday applications. Style and approach This is a practical, result-focused guide, which is easy to follow, but also fast-paced and really satisfying with full of examples.

Mastering C

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.8/5 (591 download)

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Book Synopsis Mastering C by : Cybellium Ltd

Download or read book Mastering C written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Data Structures: An Advanced Approach Using C

Author : Harry H. Chaudhary.
Publisher : Createspace LLC USA
ISBN 13 : 1500137022
Total Pages : 245 pages
Book Rating : 4.5/5 (1 download)

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Book Synopsis Data Structures: An Advanced Approach Using C by : Harry H. Chaudhary.

Download or read book Data Structures: An Advanced Approach Using C written by Harry H. Chaudhary. and published by Createspace LLC USA. This book was released on 2014-06-15 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential Data Structures Skills -- Made Easy! This book gives a good start and Complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Data Structures and Other Objects Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is also provided. Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of Both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science engineering Students, Data Structures And Algorithms is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. this Book also covers all aspects of B.TECH CS,IT, and BCA and MCA, BSC IT. || Inside Chapters. || ============== 1 Introduction. 2 Array. 3 Matrix . 4 Sorting . 5 Stack. 6 Queue. 7 Linked List. 8 Tree. 9 Graph . 10 Hashing. 11 Algorithms. 12 Misc. Topics. 13 Problems.

Mastering Go

Author : Mihalis Tsoukalos
Publisher : Packt Publishing Ltd
ISBN 13 : 1838555323
Total Pages : 784 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis Mastering Go by : Mihalis Tsoukalos

Download or read book Mastering Go written by Mihalis Tsoukalos and published by Packt Publishing Ltd. This book was released on 2019-08-29 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: This edition from 2019 is outdated and is not compatible with the latest version of Go. A new third edition, updated for 2021 and featuring the latest in Go programming, has now been published. Key Features • Second edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques • Completes the Go developer’s education with real-world guides to building high-performance production systems • Packed with practical examples and patterns to apply to your own development work • Clearly explains Go nuances and features to remove the frustration from Go development Book Description Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go’s capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques. What you will learn • Clear guidance on using Go for production systems • Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code • A full guide to all Go data types, composite types, and data structures • Master packages, reflection, and interfaces for effective Go programming • Build high-performance systems networking code, including server and client-side applications • Interface with other systems using WebAssembly, JSON, and gRPC • Write reliable, high-performance concurrent code • Build machine learning systems in Go, from simple statistical regression to complex neural networks Who this book is for Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners. Table of Contents • Go and the Operating System • Understanding Go Internals • Working with Basic Go Data Types • The Uses of Composite Types • How to Enhance Go Code with Data Structures • What You Might Not Know About Go Packages and functions • Reflection and Interfaces for All Seasons • Telling a Unix System What to Do • Concurrency in Go: Goroutines, Channels, and Pipelines • Concurrency in Go: Advanced Topics • Code Testing, Optimization, and Profiling • The Foundations of Network Programming in Go • Network Programming: Building Your Own Servers and Clients • Machine Learning in Go Review "Mastering Go - Second Edition is a must-read for developers wanting to expand their knowledge of the language or wanting to pick it up from scratch" -- Alex Ellis - Founder of OpenFaaS Ltd, CNCF Ambassador

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

Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680508059
Total Pages : 714 pages
Book Rating : 4.6/5 (85 download)

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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 todayâ€™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. Youâ€™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.

Expert C Programming

Author : Peter Van der Linden
Publisher : Prentice Hall Professional
ISBN 13 : 0131774298
Total Pages : 379 pages
Book Rating : 4.1/5 (317 download)

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Book Synopsis Expert C Programming by : Peter Van der Linden

Download or read book Expert C Programming written by Peter Van der Linden and published by Prentice Hall Professional. This book was released on 1994 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results