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Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming ...
Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++
Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming Understand how GPU acceleration in deep learning models can improve their performance Book DescriptionCompute Unified Device Architecture (CUDA) is NVIDIA's GPU computing platform and application programming interface. It's designed to work with programming languages such as C, C++, and Python. With CUDA, you can leverage a GPU's parallel computing power for a range of high-performance computing applications in the fields of science, healthcare, and deep learning. Learn CUDA Programming will help you learn GPU parallel programming and understand its modern applications. In this book, you'll discover CUDA programming approaches for modern GPU architectures. You'll not only be guided through GPU features, tools, and APIs, you'll also learn how to analyze performance with sample parallel programming algorithms. This book will help you optimize the performance of your apps by giving insights into CUDA programming platforms with various libraries, compiler directives (OpenACC), and other languages. As you progress, you'll learn how additional computing power can be generated using multiple GPUs in a box or in multiple boxes. Finally, you'll explore how CUDA accelerates deep learning algorithms, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this CUDA book, you'll be equipped with the skills you need to integrate the power of GPU computing in your applications. What you will learn Understand general GPU operations and programming patterns in CUDA Uncover the difference between GPU programming and CPU programming Analyze GPU application performance and implement optimization strategies Explore GPU programming, profiling, and debugging tools Grasp parallel programming algorithms and how to implement them Scale GPU-accelerated applications with multi-GPU and multi-nodes Delve into GPU programming platforms with accelerated libraries, Python, and OpenACC Gain insights into deep learning accelerators in CNNs and RNNs using GPUs Who this book is forThis beginner-level book is for programmers who want to delve into parallel computing, become part of the high-performance computing community and build modern applications. Basic C and C++ programming experience is assumed. For deep learning enthusiasts, this book covers Python InterOps, DL libraries, and practical examples on performance estimation.
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41.990000 USD

Learn CUDA Programming: A beginner's guide to GPU programming and parallel computing with CUDA 10.x and C/C++

by Bharatkumar Sharma, Jaegeun Han
Paperback / softback
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Acquire necessary skills in preparing for Microsoft certification and enhance your software development career by learning the concepts of C# programming Key Features Prepare for the certification using step-by-step examples, and mock tests with standard solutions Understand the concepts of data security for secure programming with C# Learn to scale ...
Programming in C#: Exam 70-483 (MCSD) Guide: Learn basic to advanced concepts of C#, including C# 8, to pass Microsoft MCSD 70-483 exam
Acquire necessary skills in preparing for Microsoft certification and enhance your software development career by learning the concepts of C# programming Key Features Prepare for the certification using step-by-step examples, and mock tests with standard solutions Understand the concepts of data security for secure programming with C# Learn to scale and optimize your application codebase using best practices and patterns Book DescriptionProgramming in C# is a certification from Microsoft that measures the ability of developers to use the power of C# in decision making and creating business logic. This book is a certification guide that equips you with the skills that you need to crack this exam and promote your problem-solving acumen with C#. The book has been designed as preparation material for the Microsoft specialization exam in C#. It contains examples spanning the main focus areas of the certification exam, such as debugging and securing applications, and managing an application's code base, among others. This book will be full of scenarios that demand decision-making skills and require a thorough knowledge of C# concepts. You will learn how to develop business logic for your application types in C#. This book is exam-oriented, considering all the patterns for Microsoft certifications and practical solutions to challenges from Microsoft-certified authors. By the time you've finished this book, you will have had sufficient practice solving real-world application development problems with C# and will be able to carry your newly-learned skills to crack the Microsoft certification exam to level up your career. What you will learn Explore multi-threading and asynchronous programming in C# Create event handlers for effective exception handling Use LINQ queries for data serialization and deserialization Manage filesystems and understand I/O operations Test, troubleshoot, and debug your C# programs Understand the objectives of Exam 70-483 and apply common solutions Who this book is forThe book is intended to the aspirants of Microsoft certifications and C# developers wanting to become a Microsoft specialist. The book does not require the knowledge of C#, basic knowledge of software development concepts will be beneficial
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52.490000 USD

Programming in C#: Exam 70-483 (MCSD) Guide: Learn basic to advanced concepts of C#, including C# 8, to pass Microsoft MCSD 70-483 exam

by SrinivasMadhav Gorthi, Simaranjit Singh Bhalla
Paperback / softback
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Develop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using ...
Building REST APIs with Flask: Create Python Web Services with MySQL
Develop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using SQLAlchemy ORM. Building REST APIs with Flask provides a primer on Flask, RESTful services, and working with pip to set up your virtual environment. The key differences between NoSQL and SQL are covered, and you are taught how to connect MySQL and Flask using SQLAlchemy. Author Kunal Relan presents best practices for creating REST APIs and guides you in structuring your app and testing REST endpoints. He teaches you how to set up authentication and render HTML using views. You learn how to write unit tests for your REST APIs, and understand mocks, assertions, and integration testing. You will know how to document your REST APIs, deploy your Flask application on all of the major cloud platforms, and debug and monitor your Flask application. What You'll Learn Use MySQL to create Flask REST APIs Test REST endpoints Create CRUD endpoints with Flask and MySQL Deploy Flask on all of the major cloud platforms Monitor your Flask application Who This Book Is For Python developers interested in REST API development using Flask and web developers with basic programming knowledge who want to learn how Python and REST APIs work together. Readers should be familiar with Python (command line, or at least pip) and MySQL.
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34.640000 USD

Building REST APIs with Flask: Create Python Web Services with MySQL

by Kunal Relan
Paperback / softback
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This volume was published in honor of Stefania Gnesi's 65th birthday. The Festschrift volume contains 32 papers written by close collaborators and friends of Stefania and was presented to her on October 8, 2019 one-day colloquium held in Porto, Portugal, The Festschrift consists of eight sections, seven of which reflect ...
From Software Engineering to Formal Methods and Tools, and Back: Essays Dedicated to Stefania Gnesi on the Occasion of Her 65th Birthday
This volume was published in honor of Stefania Gnesi's 65th birthday. The Festschrift volume contains 32 papers written by close collaborators and friends of Stefania and was presented to her on October 8, 2019 one-day colloquium held in Porto, Portugal, The Festschrift consists of eight sections, seven of which reflect the main research areas to which Stefania has contributed. Following a survey of Stefania's legacy in research and a homage by her thesis supervisor, these seven sections are ordered according to Stefania's life cycle in research, from software engineering to formal methods and tools, and back: Software Engineering; Formal Methods and Tools; Requirements Engineering; Natural Language Processing; Software Product Lines; Formal Verification; and Applications.
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104.990000 USD

From Software Engineering to Formal Methods and Tools, and Back: Essays Dedicated to Stefania Gnesi on the Occasion of Her 65th Birthday

Paperback / softback
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Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks-one that ...
GANs in Action
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks-one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Key Features * Understanding GANs and their potential * Hands-on code tutorials to build GAN models * Advanced GAN architectures and techniques like Cycle-Consistent Adversarial Networks * Handling the progressive growing of GANs * Practical applications of GANs Written for data scientists and data analysts with intermediate Python knowledge. Knowing the basics of deep learning will also be helpful. About the technology GANs have already achieved remarkable results that have been thought impossible for artificial systems, such as the ability to generate realistic faces, turn a scribble into a photograph-like image, are turn video footage of a horse into a running zebra. Most importantly, GANs learn quickly without the need for vast troves of painstakingly labeled training data. Jakub Langr graduated from Oxford University where he also taught at OU Computing Services. He has worked in data science since 2013, most recently as a data science Tech Lead at Filtered.com and as a data science consultant at Mudano. Jakub also designed and teaches Data Science courses at the University of Birmingham and is a fellow of the Royal Statistical Society. Vladimir Bok is a Senior Product Manager at Intent Media, a data science company for leading travel sites, where he helps oversee the company's Machine Learning research and infrastructure teams. Prior to that, he was a Program Manager at Microsoft. Vladimir graduated Cum Laude with a degree in Computer Science from Harvard University. He has worked as a software engineer at early stage FinTech companies, including one founded by PayPal co-founder Max Levchin, and as a Data Scientist at a Y Combinator startup.
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70.65 USD

GANs in Action

by Vladimir Bok, Jakub Langr
Paperback / softback
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Get to grips with programming techniques and game development using C++ libraries and Visual Studio 2019 Key Features Learn game development and C++ with a fun, example-driven approach Build clones of popular games such as Timberman, Zombie Survival Shooter, a co-op puzzle platformer, and Space Invaders Discover tips to expand ...
Beginning C++ Game Programming: Learn to program with C++ by building fun games, 2nd Edition
Get to grips with programming techniques and game development using C++ libraries and Visual Studio 2019 Key Features Learn game development and C++ with a fun, example-driven approach Build clones of popular games such as Timberman, Zombie Survival Shooter, a co-op puzzle platformer, and Space Invaders Discover tips to expand your finished games by thinking critically, technically, and creatively Book DescriptionThe second edition of Beginning C++ Game Programming is updated and improved to include the latest features of Visual Studio 2019, SFML, and modern C++ programming techniques. With this book, you'll get a fun introduction to game programming by building five fully playable games of increasing complexity. You'll learn to build clones of popular games such as Timberman, Pong, a Zombie survival shooter, a coop puzzle platformer and Space Invaders. The book starts by covering the basics of programming. You'll study key C++ topics, such as object-oriented programming (OOP) and C++ pointers, and get acquainted with the Standard Template Library (STL). The book helps you learn about collision detection techniques and game physics by building a Pong game. As you build games, you'll also learn exciting game programming concepts such as particle effects, directional sound (spatialization), OpenGL programmable shaders, spawning objects, and much more. Finally, you'll explore game design patterns to enhance your C++ game programming skills. By the end of the book, you'll have gained the knowledge you need to build your own games with exciting features from scratch What you will learn Set up your game development project in Visual Studio 2019 and explore C++ libraries such as SFML Explore C++ OOP by building a Pong game Understand core game concepts such as game animation, game physics, collision detection, scorekeeping, and game sound Use classes, inheritance, and references to spawn and control thousands of enemies and shoot rapid-fire machine guns Add advanced features to your game using pointers, references, and the STL Scale and reuse your game code by learning modern game programming design patterns Who this book is forThis book is perfect for you if you have no C++ programming knowledge, you need a beginner-level refresher course, or you want to learn how to build games or just use games as an engaging way to learn C++. Whether you aspire to publish a game (perhaps on Steam) or just want to impress friends with your creations, you'll find this book useful.
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41.990000 USD

Beginning C++ Game Programming: Learn to program with C++ by building fun games, 2nd Edition

by John Horton
Paperback / softback
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Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very ...
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production. Learn how to deploy deep learning models to production Explore PyTorch use cases from several leading companies Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia Use PyTorch's torchaudio library to classify audio data with a convolutional-based model Debug PyTorch models using TensorBoard and flame graphs Deploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud
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52.490000 USD

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

by Ian Pointer
Paperback / softback
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Explore popular language features, Java to Kotlin interoperability, advanced topics, and practical applications by building a variety of sample projects Key Features Understand and leverage the syntax, tools, and patterns by writing code in Kotlin Explore practical topics such as Java interop, concurrency with coroutines, and functional programming Discover how ...
Mastering Kotlin: Learn advanced Kotlin programming techniques to build apps for Android, iOS, and the web
Explore popular language features, Java to Kotlin interoperability, advanced topics, and practical applications by building a variety of sample projects Key Features Understand and leverage the syntax, tools, and patterns by writing code in Kotlin Explore practical topics such as Java interop, concurrency with coroutines, and functional programming Discover how to use Kotlin for build targets like Android, iOS, JavaScript, and backend service Book DescriptionUsing Kotlin without taking advantage of its power and interoperability is like owning a sports car and never taking it out of the garage. While documentation and introductory resources can help you learn the basics of Kotlin, the fact that it's a new language means that there are limited learning resources and code bases available in comparison to Java and other established languages. This Kotlin book will show you how to leverage software designs and concepts that have made Java the most dominant enterprise programming language. You'll understand how Kotlin is a modern approach to object-oriented programming (OOP). This book will take you through the vast array of features that Kotlin provides over other languages. These features include seamless interoperability with Java, efficient syntax, built-in functional programming constructs, and support for creating your own DSL. Finally, you will gain an understanding of implementing practical design patterns and best practices to help you master the Kotlin language. By the end of the book, you'll have obtained an advanced understanding of Kotlin in order to be able to build production-grade applications. What you will learn Model data using interfaces, classes, and data classes Grapple with practical interoperability challenges and solutions with Java Build parallel apps using concurrency solutions such as coroutines Explore functional, reactive, and imperative programming to build flexible apps Discover how to build your own domain-specific language Embrace functional programming using the standard library and Arrow Delve into the use of Kotlin for frontend JavaScript development Build server-side services using Kotlin and Ktor Who this book is forIf you're a Kotlin developer looking to further their skills or a professional Java developer looking for better or professional resources in order to make a switch to Kotlin, this book is for you. Familiarity with Kotlin programming will assist with understanding key concepts covered in the book.
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41.990000 USD

Mastering Kotlin: Learn advanced Kotlin programming techniques to build apps for Android, iOS, and the web

by Nate Ebel
Paperback / softback
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Explore modern game development and programming techniques to build games using Python and its popular libraries such as Pygame and PyOpenGL Key Features Learn game development and Python through a practical, example-driven approach Discover a variety of game development techniques to build games that gradually increase in complexity Leverage popular ...
Learning Python by Building Games: A beginner's guide to Python programming and game development
Explore modern game development and programming techniques to build games using Python and its popular libraries such as Pygame and PyOpenGL Key Features Learn game development and Python through a practical, example-driven approach Discover a variety of game development techniques to build games that gradually increase in complexity Leverage popular Python gaming libraries such as Pygame, PyOpenGL, Pymunk, and Pyglet Book DescriptionA fun and interactive way to get started with the Python language and its libraries is by getting hands-on with game development. Learning Python by Building Games brings you the best of both worlds. The book will first introduce you to Python fundamentals, which you will then use to develop a basic game. You'll gradually explore the different Python libraries best suited for game development such as Pygame, Pyglet, and PyOpenGL. From building game characters through to using 3D animation techniques, you'll discover how to create an aesthetic game environment. In addition to this, you'll focus on game physics to give your effects a realistic feel, complete with movements and collisions. The book will also cover how you can use particle systems to simulate phenomena such as an explosion or smoke. In later chapters, you will gain insights into object-oriented programming by modifying a snake game, along with exploring GUI programming to build a user interface with Python's turtle module. By the end of this book, you'll be well-versed with Python programming concepts and popular libraries, and have the confidence to build your own games What you will learn Explore core Python concepts by understanding Python libraries Build your first 2D game using Python scripting Understand concepts such as decorators and properties in the Python ecosystem Create animations and movements by building a Flappy Bird-like game Design game objects and characters using Pygame, PyOpenGL, and Pymunk Add intelligence to your gameplay by incorporating game artificial intelligence (AI) techniques using Python Who this book is forIf you are completely new to Python or game programming and want to develop your programming skills, then this book is for you. The book also acts as a refresher for those who already have experience of using Python and want to learn how to build exciting games.
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36.740000 USD

Learning Python by Building Games: A beginner's guide to Python programming and game development

by Sachin Kafle
Paperback / softback
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Python Programming in Context, Third Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.8, the new Third Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a ...
Python Programming In Context
Python Programming in Context, Third Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.8, the new Third Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. The Third Edition's emphasis on problem-solving, extrapolation, and the development of independent exploration and solution-building provides students with a unique and innovative approach to learning programming. While students solve problems of general interest, language elements are introduced with deliberate and incremental exposure to the fundamentals. Python Programming in Context, Third Edition is the ideal introductory text for those learning the Python language.
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136.450000 USD

Python Programming In Context

by Julie Anderson, David L. Ranum, Bradley N. Miller
Paperback / softback
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A collection of in-depth conversations with leading developer advocates that reveal the world of developer relations today Key Features Top developer advocates reveal the work they're doing at the center of their tech communities and the impact their advocacy is having on the tech industry as a whole Discover the ...
Developer, Advocate!: Conversations on turning a passion for talking about tech into a career
A collection of in-depth conversations with leading developer advocates that reveal the world of developer relations today Key Features Top developer advocates reveal the work they're doing at the center of their tech communities and the impact their advocacy is having on the tech industry as a whole Discover the best practices of developer advocacy and get the inside story on working at some of the world's largest tech companies Features contributions from noted developer advocates, including Scott Hanselman, Sally Eaves, Venkat Subramaniam, Jono Bacon, Ted Neward, and more Book DescriptionWhat exactly is a developer advocate, and how do they connect developers and companies around the world? Why is the area of developer relations set to explode? Can anybody with a passion for tech become a developer advocate? What are the keys to success on a global scale? How does a developer advocate maintain authenticity when balancing the needs of their company and their tech community? What are the hot topics in areas including Java, JavaScript, tech for good, artificial intelligence, blockchain, the cloud, and open source? These are just a few of the questions addressed by developer advocate and author Geertjan Wielenga in Developer, Advocate!. 32 of the industry's most prominent developer advocates, from companies including Oracle, Microsoft, Google, and Amazon, open up about what it's like to turn a lifelong passion for knowledge sharing about tech into a rewarding career. These advocates run the gamut from working at large software vendors to small start-ups, along with independent developer advocates who work within organizations or for themselves. In Developer, Advocate!, readers will see how developer advocates are actively changing the world, not only for developers, but for individuals and companies navigating the fast-changing tech landscape. More importantly, Developer, Advocate! serves as a rallying cry to inspire and motivate tech enthusiasts and burgeoning developer advocates to get started and take their first steps within their tech community. What you will learn Discover how developer advocates are putting developer interests at the heart of the software industry in companies including Microsoft and Google Gain the confidence to use your voice in the tech community Immerse yourself in developer advocacy techniques Understand and overcome the challenges and obstacles facing developer advocates today Hear predictions from the people at the cutting edge of tech Explore your career options in developer advocacy Who this book is forAnybody interested in developer advocacy, the impact it is having, and how to build developer advocacy capabilities
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41.990000 USD

Developer, Advocate!: Conversations on turning a passion for talking about tech into a career

by Geertjan Wielenga
Paperback / softback
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Unit test your Vue.js components with this fully-featured JavaScript testing framework Key Features Understand the various testing styles and their purpose Gain insight into how to test methods by avoiding dependencies Explore snapshot testing and its applications Book DescriptionUnit testing in modern component-based JavaScript frameworks is not straightforward. You need ...
Testing Vue.js Components with Jest: A concise guide to testing Vue.js components using Jest and the official Vue Test Utils library
Unit test your Vue.js components with this fully-featured JavaScript testing framework Key Features Understand the various testing styles and their purpose Gain insight into how to test methods by avoiding dependencies Explore snapshot testing and its applications Book DescriptionUnit testing in modern component-based JavaScript frameworks is not straightforward. You need a test suite that is reliable and runs quickly. Components are connected to one another, and the browser adds a layer of UI, which makes everything inter-dependent while we test components in isolation. Jest is a fully-featured JavaScript testing framework that will do all your work for you. This book shows you how to test Vue.js components easily and take advantage of the fully-featured Jest testing framework with the aid of practical examples. You'll learn the different testing styles and their structures. You'll also explore how your Vue.js components respond to various tests. You'll see how to apply techniques such as snapshot testing, shallow rendering, module dependency mocking, and module aliasing to make your tests smooth and clean. By the end of this book, you'll know all about testing your components by utilizing the features of Jest. What you will learn Set up a Vue-test project to get started with Jest Unit test your components using techniques such as shallow rendering Gain insights into how to test the reactive parts in the logic of the Vue.js components Explore how to test deeply rendered Vue.js components Perform easy and quick tests with module dependency mocking, module aliasing, and more Know-how and when to use snapshot testing Who this book is forIf you are a programmer looking to make your development process smooth and bug-free, this is an ideal book for you. Prior knowledge and experience of JavaScript will help you quickly and easily grasp the concepts explained in this book.
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26.240000 USD

Testing Vue.js Components with Jest: A concise guide to testing Vue.js components using Jest and the official Vue Test Utils library

by Alex Jover Morales
Paperback / softback
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Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world's security infrastructure. From governments around the world to the average ...
Practical Cryptography in Python: Learning Correct Cryptography by Example
Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the lifeblood of the digital world's security infrastructure. From governments around the world to the average consumer, most communications are protected in some form or another by cryptography. These days, even Google searches are encrypted. Despite its ubiquity, cryptography is easy to misconfigure, misuse, and misunderstand. Developers building cryptographic operations into their applications are not typically experts in the subject, and may not fully grasp the implication of different algorithms, modes, and other parameters. The concepts in this book are largely taught by example, including incorrect uses of cryptography and how bad cryptography can be broken. By digging into the guts of cryptography, you can experience what works, what doesn't, and why. What You'll Learn Understand where cryptography is used, why, and how it gets misused Know what secure hashing is used for and its basic properties Get up to speed on algorithms and modes for block ciphers such as AES, and see how bad configurations break Use message integrity and/or digital signatures to protect messages Utilize modern symmetric ciphers such as AES-GCM and CHACHA Practice the basics of public key cryptography, including ECDSA signatures Discover how RSA encryption can be broken if insecure padding is used Employ TLS connections for secure communications Find out how certificates work and modern improvements such as certificate pinning and certificate transparency (CT) logs Who This Book Is For IT administrators and software developers familiar with Python. Although readers may have some knowledge of cryptography, the book assumes that the reader is starting from scratch.
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39.890000 USD

Practical Cryptography in Python: Learning Correct Cryptography by Example

by Christopher K. Monson, Seth James Nielson
Paperback / softback
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Kotlin is the fastest-growing alternative language on the JVM, and its use is becoming pervasive in Android, native applications, and other areas. Other books on Kotlin teach the language in the traditional manner. The appeal of a cookbook is that it lets you find exactly the techniques you need exactly ...
Kotlin Cookbook: A Problem-Focused Approach
Kotlin is the fastest-growing alternative language on the JVM, and its use is becoming pervasive in Android, native applications, and other areas. Other books on Kotlin teach the language in the traditional manner. The appeal of a cookbook is that it lets you find exactly the techniques you need exactly when you need them. This book will be a daily reference for existing Kotlin developers and those programmers learning to apply the language to new areas.
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89.25 USD

Kotlin Cookbook: A Problem-Focused Approach

by Ken Kousen
Paperback / softback
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Atwood's Law is driven by the idea that all applications will ultimately wind up on the web and therefore must be written in JavaScript. WebAssembly may be your way out! With WebAssembly, you can write in nearly any modern language and run your code in the browser through a memory-safe, ...
WebAssembly in Action
Atwood's Law is driven by the idea that all applications will ultimately wind up on the web and therefore must be written in JavaScript. WebAssembly may be your way out! With WebAssembly, you can write in nearly any modern language and run your code in the browser through a memory-safe, sandboxed execution environment that can be embedded in a web browser and other platforms. Getting set up and moving with WebAssembly requires you to modify your web dev process; WebAssembly in Action will get you started quickly and guide you through real-world examples and detailed diagrams that help you create, run, and debug WebAssembly modules. Key features * The WebAssembly format * Dynamic linking of multiple modules at runtime * Communicating between modules and JavaScript * Debugging modules * Unreleased features like host bindings and garbage collection Audience Written for developers with a basic understanding of C/C++, JavaScript, and HTML. About the technology WebAssembly compiles code written in C, C++, Rust, and other highlevel languages into an ultra-compact bytecode files that run in the browser and other environments at near-native speeds. Besides vastly improved performance, opportunities to reuse existing code, and the freedom to build in your favorite language, this game-changer allows access to newer and faster libraries. WebAssembly is the joint effort of industry leaders like Microsoft, Mozilla, Google, and others, with Gerard Gallant is a Microsoft Certified Professional and a Senior Software Developer at Dovico Software. He blogs regularly on Blogger.com and DZone.com.
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52.490000 USD

WebAssembly in Action

by Gerard Gallant
Paperback / softback
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Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can ...
Data Science at Scale with Python and Dask
Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader's analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.
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70.65 USD

Data Science at Scale with Python and Dask

by Jesse C Daniel
Paperback / softback
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With cloud platforms like AWS, Azure, and Google Cloud, even small teams can take full advantage of web-scale distributed application patterns and practice. Cloud Native: Designing Change-tolerant Software is the best guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. Key Features * ...
Cloud Native - Designing change-tolerant software
With cloud platforms like AWS, Azure, and Google Cloud, even small teams can take full advantage of web-scale distributed application patterns and practice. Cloud Native: Designing Change-tolerant Software is the best guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. Key Features * The application lifecycle of Cloud Native apps * Automated configuration management * Multi-tenant services, versioned services, and parallel deploys * Understanding Cloud Native Routing * Managing dependencies between apps and services Requires intermediate programming skill with Java or a similar language. Some experience with server-side development is helpful. About the technology Cloud-native software promises near-zero downtime, shortened feedback cycles, multi-device support, and improved cost control. All this means developers need to learn new skills and techniques, along with a new way of thinking about application design. Cornelia Davis is the Sr. Director of Technology at Pivotal Software. A teacher at heart, Cornelia has spent the last 25 making better software and better software developers.
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70.65 USD

Cloud Native - Designing change-tolerant software

by Cornelia Davis
Paperback / softback
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Programmers don't just use Kotlin, they love it. Even Google has adopted it as a first-class language for Android development. With Kotlin, you can intermix imperative, functional, and object-oriented styles of programming and benefit from the approach that's most suitable for the problem at hand. Learn to use the many ...
Programming Kotlin
Programmers don't just use Kotlin, they love it. Even Google has adopted it as a first-class language for Android development. With Kotlin, you can intermix imperative, functional, and object-oriented styles of programming and benefit from the approach that's most suitable for the problem at hand. Learn to use the many features of this highly concise, fluent, elegant, and expressive statically typed language with easy-to-understand examples. Learn to write easy-to-maintain, high-performing JVM and Android applications, create DSLs, program asynchrony, and much more. Kotlin is a highly concise, elegant, fluent, and expressive statically typed multi-paradigm language. It is one of the few languages that compiles down to both Java bytecode and JavaScript. You can use it to build server-side, front-end, and Android applications. With Kotlin, you need less code to accomplish your tasks, while keeping the code type-safe and less prone to error. If you want to learn the essentials of Kotlin, from the fundamentals to more advanced concepts, you've picked the right book. Fire up your favorite IDE and practice hundreds of examples and exercises to sharpen your Kotlin skills. Learn to build standalone small programs to run as scripts, create type safe code, and then carry that knowledge forward to create fully object-oriented and functional style code that's easier to extend. Learn how to program with elegance but without compromising efficiency or performance, and how to use metaprogramming to build highly expressive code and create internal DSLs that exploit the fluency of the language. Explore coroutines, program asynchrony, run automated tests, and intermix Kotlin with Java in your enterprise applications. This book will help you master one of the few languages that you can use for the entire full stack - from the server to mobile devices - to create performant, concise, and easy to maintain applications. What You Need: To try out the examples in the book you'll need a computer with Kotlin SDK, JDK, and a text editor or a Kotlin IDE installed in it.
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77.18 USD

Programming Kotlin

by Venkat Subramaniam
Paperback / softback
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Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation ...
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch
Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will Learn Understand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection
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39.890000 USD

Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch

by Suman Kalyan Adari, Sridhar Alla
Paperback / softback
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Modernize and upgrade your enterprise ERP environment by learning to work with the stable and essential components of Odoo 12 from scratch Key Features Learn the fundamentals of Odoo, a comprehensive enterprise management platform, without writing a single line of code Create business operation strategies and analytics by using Odoo ...
Learn Odoo: A beginner's guide to designing, configuring, and customizing business applications with Odoo
Modernize and upgrade your enterprise ERP environment by learning to work with the stable and essential components of Odoo 12 from scratch Key Features Learn the fundamentals of Odoo, a comprehensive enterprise management platform, without writing a single line of code Create business operation strategies and analytics by using Odoo Build customized ERP and CRM solutions for your business Book DescriptionOdoo is management software that contains a set of open source enterprise management applications that help you modernize your business. Completely revised and updated, this comprehensive Odoo guide is a fourth edition of Working with Odoo. This book begins with an introduction to Odoo and helps you set up Odoo Online in your system. You'll learn how to start a new company database in Odoo and the basics of Odoo sales management. You will explore customer relationship management in Odoo and its importance in a modern business environment. Moving on, you'll learn how to install the purchasing application, set up suppliers, and begin purchasing and receiving products in Odoo. Next, you'll learn how to use the MRP module to create, process, and schedule the manufacturing and production order. Once you get to grips with the basic applications, you'll uncover how to customize Odoo to meet the specific needs of your business. You'll learn some advanced techniques for searching and finding information, and you'll be taken through business intelligence in Odoo. Towards the end of the book, you'll go in-depth into Odoo's architecture and learn to use Odoo's API to integrate with other applications. By the end of the book, you'll be ready to use Odoo to build enterprise applications and set up the functional requirements for your business. What you will learn Configure and customize a customer relationship management system Set up purchasing and receiving system functionality in your Odoo environment Understand manufacturing operations and processes with real-world examples Explore Odoo's financial accounting and reporting features Use Odoo's featured project management application to sort tasks Get to grips with the basics of Odoo administration and manage multi-company operations Who this book is forThis book is for any IT professionals, business managers, and operation managers who are looking to gain a functional understanding of Odoo or trying to implement Odoo in their organization to improve their business processes. No prior experience of Odoo is required.
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52.490000 USD

Learn Odoo: A beginner's guide to designing, configuring, and customizing business applications with Odoo

by Greg Moss
Paperback / softback
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Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhancements through SQL ...
Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries
Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhancements through SQL Server 2019. Window functions are useful in analytics and business intelligence reporting. They came into full blossom with SQL Server 2012, yet they are not as well known and used as often as they ought to be. This group of functions is one of the most notable developments in SQL, and this book shows how every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Once you begin using window functions, such as ROW_NUMBER and LAG, you will discover many ways to use them. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your queries will run faster, be easier to write, and easier to deconstruct, maintain, and enhance in the future. Just knowing and using these functions is not enough. You also need to understand how to tune the queries. Expert T-SQL Window Functions in SQL Server clearly explains how to get the best performance. The book also covers the rare cases when older techniques are the best bet. What You Will Learn Solve complex query problems without cumbersome self-joins that run slowly and are difficult to read Create sliding windows in a result set for computing such as running totals and moving averages Return aggregate and detail data simultaneously from the same SELECT statement Compute lag and lead and other values that access data from multiple rows in a result set Understand the OVER clause syntax and how to control the window Avoid framing errors that can lead to unexpected results Who This Book Is For Anyone who writes T-SQL queries, including database administrators, developers, business analysts, and data scientists. Before reading this book, you should understand how to join tables, write WHERE clauses, and build aggregate queries.
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36.740000 USD

Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries

by Ed Pollack, Clayton Groom, Kathi Kellenberger
Paperback / softback
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Push the limits of what C - and you - can do, with this high-intensity guide to the most advanced capabilities of C Key Features Make the most of C's low-level control, flexibility, and high performance A comprehensive guide to C's most powerful and challenging features A thought-provoking guide packed ...
Extreme C: Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
Push the limits of what C - and you - can do, with this high-intensity guide to the most advanced capabilities of C Key Features Make the most of C's low-level control, flexibility, and high performance A comprehensive guide to C's most powerful and challenging features A thought-provoking guide packed with hands-on exercises and examples Book DescriptionThere's a lot more to C than knowing the language syntax. The industry looks for developers with a rigorous, scientific understanding of the principles and practices. Extreme C will teach you to use C's advanced low-level power to write effective, efficient systems. This intensive, practical guide will help you become an expert C programmer. Building on your existing C knowledge, you will master preprocessor directives, macros, conditional compilation, pointers, and much more. You will gain new insight into algorithm design, functions, and structures. You will discover how C helps you squeeze maximum performance out of critical, resource-constrained applications. C still plays a critical role in 21st-century programming, remaining the core language for precision engineering, aviations, space research, and more. This book shows how C works with Unix, how to implement OO principles in C, and fully covers multi-processing. In Extreme C, Amini encourages you to think, question, apply, and experiment for yourself. The book is essential for anybody who wants to take their C to the next level. What you will learn Build advanced C knowledge on strong foundations, rooted in first principles Understand memory structures and compilation pipeline and how they work, and how to make most out of them Apply object-oriented design principles to your procedural C code Write low-level code that's close to the hardware and squeezes maximum performance out of a computer system Master concurrency, multithreading, multi-processing, and integration with other languages Unit Testing and debugging, build systems, and inter-process communication for C programming Who this book is forExtreme C is for C programmers who want to dig deep into the language and its capabilities. It will help you make the most of the low-level control C gives you.
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52.490000 USD

Extreme C: Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C

by Kamran Amini
Paperback / softback
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Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the book, you'll follow a fictional ...
Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data
Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the book, you'll follow a fictional company as it tackles real scenarios. Using actual data to create example code and visualizations, SAP business analysts will learn practical methods for gaining deeper insights into their business's data. Data engineers and data scientists will explore ways to add SAP data to their analysis processes. Through grounded explanations of both SAP processes and data science tools, you'll discover powerful methods for discovering data truths. Use data to tell revealing stories about your customers Model purchase requisition data using exploratory data analysis Create an anomaly detection system for SAP sales orders Use R and Python to make predictions on sales data Cluster and segment your customers based on their buying habits Use association rule learning to discover customer buying patterns Apply NLP to uncover the most highly actionable customer complaints
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73.490000 USD

Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

by Paul Modderman, Greg Foss
Paperback / softback
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This LNCS book is part of the FOLLI book series and constitutes the proceedings of the 7th International Workshop on Logic, Rationality, and Interaction, LORI 2019, held in Chongqing, China, in October 2019. The 31 papers presented in this book were carefully reviewed and selected from 56 submissions. They focus ...
Logic, Rationality, and Interaction: 7th International Workshop, LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings
This LNCS book is part of the FOLLI book series and constitutes the proceedings of the 7th International Workshop on Logic, Rationality, and Interaction, LORI 2019, held in Chongqing, China, in October 2019. The 31 papers presented in this book were carefully reviewed and selected from 56 submissions. They focus on the following topics: agency; argumentation and agreement; belief revision and belief merging; belief representation; cooperation; decision making and planning; natural language; philosophy and philosophical logic; and strategic reasoning.
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94.490000 USD

Logic, Rationality, and Interaction: 7th International Workshop, LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings

Paperback / softback
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When you need answers for using C# 8.0, this tightly focused and practical book tells you exactly what you need to know without long introductions or bloated samples. Succinct, yet easy to browse, C# 8.0 Pocket Reference is ideal as a quick reference or as a guide to get you ...
C# 8.0 Pocket Reference: Instant Help for C# 8.0 Programmers
When you need answers for using C# 8.0, this tightly focused and practical book tells you exactly what you need to know without long introductions or bloated samples. Succinct, yet easy to browse, C# 8.0 Pocket Reference is ideal as a quick reference or as a guide to get you rapidly up to speed if you already know Java, C++, or an earlier version of C#. All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 8.0 in a Nutshell, this pocket reference covers C# 8.0 without skimping on detail.
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26.240000 USD

C# 8.0 Pocket Reference: Instant Help for C# 8.0 Programmers

by Ben Albahari, Joseph Albahari
Paperback / softback
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, ...
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
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78.740000 USD

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

by Aurelien Geron
Paperback / softback
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This book is a stunning achievement, written with precision and depth of understanding. It entertains you and gives you lots of interesting information at the same time. I could never imagine understanding and gaining scientific knowledge, namely 'Deep Learning' can be this much fun! Reading the book is a pleasure ...
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
This book is a stunning achievement, written with precision and depth of understanding. It entertains you and gives you lots of interesting information at the same time. I could never imagine understanding and gaining scientific knowledge, namely 'Deep Learning' can be this much fun! Reading the book is a pleasure and I highly recommend it. -maryamkhakpour, O'Reilly Online Learning (Safari) Reviewer This title is a great resource for those looking to understand deep learning. The illustrations are helpful and aid in cementing a richer understanding of the content, and the background context surrounding biological motivations for the tools and techniques enables a greater appreciation of the field. I enthusiastically recommend this book to any and all who are interested in the topic of deep learning. -vincepetaccio, O'Reilly Online Learning (Safari) Reviewer Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely visual, intuitive, and accessible, and yet offers a comprehensive introduction to the discipline's techniques and applications. Packed with full-color applications and easy-to-follow code, it sweeps away much of the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn-with crucial material from Grant Beyleveld and beautiful illustrations by Aglae Bassens-presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. He also offers a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He covers essential theory with as little mathematics as possible, preferring to illuminate concepts with hands-on Python code and practical run-throughs in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile, high-level deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, deep feedforward networks, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside the book for more information. Pearson IT Certification, and Sander Van Vugt have no affiliation with Red Hat, Inc. The RED HAT and RHCSA trademarks are used for identification purposes only and are not intended to indicate affiliation with or approval by Red Hat, Inc.
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52.490000 USD

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

by Bassens Aglae, Beyleveld Grant, Jon Krohn
Paperback / softback
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Type-related failures are common and can be very costly. Famously, in 1999, NASA's Mars Climate Orbiter burned up in the atmosphere because of an error that could have easily been prevented with typing. By taking advantage of the strong type systems available in most modern programming languages, you can eliminate ...
Programming with Types
Type-related failures are common and can be very costly. Famously, in 1999, NASA's Mars Climate Orbiter burned up in the atmosphere because of an error that could have easily been prevented with typing. By taking advantage of the strong type systems available in most modern programming languages, you can eliminate whole classes of errors. Programming with Types teaches you type system techniques for writing software that's safe, correct, easy to test and maintain, and that practically documents itself. Master these techniques, and you may even help prevent an interstellar catastrophe! Key features * Designing functions that don't return values * An introduction to type systems and their benefits * Encoding text * Building data structures with arrays and references * Type composition * Function types * Type safety * Object-oriented programming with types Audience Readers need basic high school math skills as well as some programming experience in a mainstream programming language like Java, JavaScript, C#, or C++. About the technology As software grows in complexity, it's essential to adopt coding tools and strategies that enforce safety and correctness. A type system governs what types of data are allowable, requiring your code to accurately store, represent, and use its internal data.
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52.490000 USD

Programming with Types

by Vlad Riscutia
Paperback / softback
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If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will ...
Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling
If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
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74.37 USD

Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling

by Edgar Ruiz, Kevin Kuo, Javier Luraschi
Paperback / softback
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With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the ...
Deep Learning from Scratch: Building with Python from First Principles
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects. This book provides: Extremely clear and thorough mental models-accompanied by working code examples and mathematical explanations-for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework
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62.990000 USD

Deep Learning from Scratch: Building with Python from First Principles

by Seth Weidman
Paperback / softback
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