- Table View
- List View
Learning FreeNAS
by Gary SimsThis book has been written from the system administrator's perspective, tackling the topics that will be most important to help you understand FreeNAS, and get it set up as securely and quickly as possible. You will just see how to get the job done. This book is for systems administrators who want a low cost, simple way to provide large amounts of network-attached storage. It does not assume knowledge of BSD, and will work for people using FreeNAS in any network environment.
Learning FuelPHP for Effective PHP Development
by Ross TweedieThe book follows a standard tutorial approach, which will enable readers to use the FuelPHP framework efficiently while developing PHP applications.If you are a PHP developer who is looking to learn more about using the FuelPHP framework for effective PHP development, this book is ideal for you. If you are interested in this book, you should already have a basic understanding of general PHP development.
Learning Functional Data Structures and Algorithms
by Atul S. Khot Raju Kumar MishraLearn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book • Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. • Easy-to-understand explanations of practical topics will help you get started with functional data structures. • Illustrative diagrams to explain the algorithms in detail. • Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn • Learn to think in the functional paradigm • Understand common data structures and the associated algorithms, as well as the context in which they are commonly used • Take a look at the runtime and space complexities with the O notation • See how ADTs are implemented in a functional setting • Explore the basic theme of immutability and persistent data structures • Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. • Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms • Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
Learning Functional Programming in Go
by Lex SheehanFunction literals, Monads, Lazy evaluation, Currying, and more About This Book • Write concise and maintainable code with streams and high-order functions • Understand the benefits of currying your Golang functions • Learn the most effective design patterns for functional programming and learn when to apply each of them • Build distributed MapReduce solutions using Go Who This Book Is For This book is for Golang developers comfortable with OOP and interested in learning how to apply the functional paradigm to create robust and testable apps. Prior programming experience with Go would be helpful, but not mandatory. What You Will Learn • Learn how to compose reliable applications using high-order functions • Explore techniques to eliminate side-effects using FP techniques such as currying • Use first-class functions to implement pure functions • Understand how to implement a lambda expression in Go • Compose a working application using the decorator pattern • Create faster programs using lazy evaluation • Use Go concurrency constructs to compose a functionality pipeline • Understand category theory and what it has to do with FP In Detail Functional programming is a popular programming paradigm that is used to simplify many tasks and will help you write flexible and succinct code. It allows you to decompose your programs into smaller, highly reusable components, without applying conceptual restraints on how the software should be modularized. This book bridges the language gap for Golang developers by showing you how to create and consume functional constructs in Golang. The book is divided into four modules. The first module explains the functional style of programming; pure functional programming (FP), manipulating collections, and using high-order functions. In the second module, you will learn design patterns that you can use to build FP-style applications. In the next module, you will learn FP techniques that you can use to improve your API signatures, to increase performance, and to build better Cloud-native applications. The last module delves into the underpinnings of FP with an introduction to category theory for software developers to give you a real understanding of what pure functional programming is all about, along with applicable code examples. By the end of the book, you will be adept at building applications the functional way. Style and approach This book takes a pragmatic approach and shows you techniques to write better functional constructs in Golang. We'll also show you how use these concepts to build robust and testable apps.
Learning Functional Programming: Managing Code Complexity by Thinking Functionally
by Jack WidmanLearn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming.Learn functional programming fundamentals and explore the way functional programmers approach problemsUnderstand how FP differs from object-oriented and imperative programmingUse a set of practical, applicable design patterns that model reality in a functional wayLearn how to incorporate FP and OOP features into software projectsApply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code
Learning GNU Emacs, 2nd Edition
by Debra Cameron Bill Rosenblatt Eric S. RaymondThis comprehensive guide to the GNU Emacs editor, one of the most widely used and powerful editors available under UNIX, covers basic editing, several important "editing modes" (special Emacs features for editing specific types of documents, including email, Usenet News, and the Web), and customization and Emacs LISP programming. It is aimed at new Emacs users, whether or not they are programmers. Covers Version 19.30.
Learning GNU Emacs, 3rd Edition
by James Elliott Debra Cameron Bill Rosenblatt Eric S. Raymond Marc LoyThe third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.
Learning GNU Emacs, 3rd Edition
by James Elliott Debra Cameron Marc LoyThe third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.
Learning GNU Emacs: A Guide to Unix Text Processing
by James Elliott Debra Cameron Bill Rosenblatt Eric S. Raymond Marc LoyGNU Emacs is the most popular and widespread of the Emacs family of editors. It is also the most powerful and flexible. Unlike all other text editors, GNU Emacs is a complete working environment--you can stay within Emacs all day without leaving. Learning GNU Emacs, 3rd Edition tells readers how to get started with the GNU Emacs editor. It is a thorough guide that will also "grow" with you: as you become more proficient, this book will help you learn how to use Emacs more effectively. It takes you from basic Emacs usage (simple text editing) to moderately complicated customization and programming.The third edition of Learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.Learning GNU Emacs, third edition, covers:How to edit files with EmacsUsing the operating system shell through EmacsHow to use multiple buffers, windows, and framesCustomizing Emacs interactively and through startup filesWriting macros to circumvent repetitious tasksEmacs as a programming environment for Java, C++, and Perl, among othersUsing Emacs as an integrated development environment (IDE)Integrating Emacs with CVS, Subversion and other change control systems for projects with multiple developersWriting HTML, XHTML, and XML with EmacsThe basics of Emacs LispThe book is aimed at new Emacs users, whether or not they are programmers. Also useful for readers switching from other Emacs implementations to GNU Emacs.
Learning Game AI Programming with Lua
by David YoungIf you are a game developer or a general programmer who wishes to focus on programming systems and techniques to build your game AI without creating low-level interfaces in a game engine, then this book is for you. Knowledge of C++ will come in handy to debug the entirety of the AI sandbox and expand on the features present within the book, but it is not required.
Learning Game Physics with Bullet Physics and OpenGL
by Chris DickinsonA comprehensive set of straight-forward, easy-to-follow tutorials in OpenGL and Bullet Physics that will teach you how modern game physics and 3D graphics work.If you're a beginner or intermediate programmer with a basic understanding of 3D mathematics, and you want a stronger foundation in 3D graphics and physics, then this book is perfect for you! You'll even learn some of the fundamental concepts in 3D mathematics and software design that lies beneath them both, discovering some techniques and tricks in graphics and physics that you can use in any game development project.
Learning Generative Adversarial Networks
by Kuntal GangulyBuild image generation and semi-supervised models using Generative Adversarial Networks About This Book • Understand the buzz surrounding Generative Adversarial Networks and how they work, in the simplest manner possible • Develop generative models for a variety of real-world use-cases and deploy them to production • Contains intuitive examples and real-world cases to put the theoretical concepts explained in this book to practical use Who This Book Is For Data scientists and machine learning practitioners who wish to understand the fundamentals of generative models will find this book useful. Those who wish to implement Generative Adversarial Networks and their variant architectures through real-world examples will also benefit from this book. No prior knowledge of generative models or GANs is expected. What You Will Learn • Understand the basics of deep learning and the difference between discriminative and generative models • Generate images and build semi-supervised models using Generative Adversarial Networks (GANs) with real-world datasets • Tune GAN models by addressing the challenges such as mode collapse, training instability using mini batch, feature matching, and the boundary equilibrium technique. • Use stacking with Deep Learning architectures to run and generate images from text. • Couple multiple Generative models to discover relationships across various domains • Explore the real-world steps to deploy deep models in production In Detail Generative models are gaining a lot of popularity among the data scientists, mainly because they facilitate the building of AI systems that consume raw data from a source and automatically builds an understanding of it. Unlike supervised learning methods, generative models do not require labeling of the data which makes it an interesting system to use. This book will help you to build and analyze the deep learning models and apply them to real-world problems. This book will help readers develop intelligent and creative application from a wide variety of datasets, mainly focusing on visuals or images. The book begins with the basics of generative models, as you get to know the theory behind Generative Adversarial Networks and its building blocks. This book will show you how you can overcome the problem of text to image synthesis with GANs, using libraries like Tensorflow, Keras and PyTorch. Transfering style from one domain to another becomes a headache when working with huge data sets. The author, using real-world examples, will show how you can overcome this. You will understand and train Generative Adversarial Networks and use them in a production environment and learn tips to use them effectively and accurately. Style and approach A step-by-step guide that will teach you the use of appropriate GAN models for image generation, editing and painting, text-to-image synthesis, image style transfer, and cross-domain discovery with Python libraries such as Tensorflow, Keras, and PyTorch.
Learning Geospatial Analysis with Python
by Joel LawheadThis is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will first introduce various Python-related tools/packages in the initial chapters before moving towards practical usage, examples, and implementation in specialized kinds of Geospatial data analysis.This book is for anyone who wants to understand digital mapping and analysis and who uses Python or another scripting language for automation or crunching data manually.This book primarily targets Python developers, researchers, and analysts who want to perform Geospatial, modeling, and GIS analysis with Python.
Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7, 3rd Edition
by Joel LawheadLearn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book Description Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel. What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is for This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Learning Gerrit Code Review
by Luca MilanesioA practical and a fast paced guide that gives you all the information you need to make software development more cooperative and social. This book is written for team leaders and developers who wish to reap the benefit of Gerrit and improve collaboration by introducing code review practices.
Learning Git: A Hands-On and Visual Guide to the Basics of Git
by Anna SkoulikariThis book teaches Git in a simple, visual, and tangible manner so that you can build a solid mental model of how Git version control works. Through the use of color, storytelling, and hands-on exercises, you will learn to use this tool with confidence.The information is introduced incrementally so that you don't get bogged down with unknown terms or concepts. Learning Git is ideal for anyone who needs to use Git for personal or professional projects: coding bootcamp students, junior developers, data professionals, and technical writers, to name just a few!This book covers how to:Download Git and initialize a local repositoryAdd files to the staging area and make commitsCreate, switch, and delete branchesMerge and rebase branchesWork with remote repositories including cloning, pushing, pulling, and fetchingUse pull requests to collaborate with others
Learning GitHub Actions: Automation and Integration of CI/CD with GitHub
by Brent LasterAutomate your software development processes with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions. You'll learn what actions and workflows are and how they can be used, created, and incorporated into your processes to simplify, standardize, and automate your work in GitHub.This book explains the platform, components, use cases, implementation, and integration points of actions, so you can leverage them to provide the functionality and features needed in today's complex pipelines and software development processes. You'll learn how to design and implement automated workflows that respond to common events like pushes, pull requests, and review updates. You'll understand how to use the components of the GitHub Actions platform to gain maximum automation and benefit.With this book, you will:Learn what GitHub Actions are, the various use cases for them, and how to incorporate them into your processesUnderstand GitHub Actions' structure, syntax, and semanticsAutomate processes and implement functionalityCreate your own custom actions with Docker, JavaScript, or shell approachesTroubleshoot and debug workflows that use actionsCombine actions with GitHub APIs and other integration optionsIdentify ways to securely implement workflows with GitHub ActionsUnderstand how GitHub Actions compares to other options
Learning GitHub Copilot: Multiplying Your Coding Productivity Using AI
by Brent LasterSupercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating tests with ease, creating polished documentation at any stage of development, and more. You'll also explore advanced uses—like leveraging Copilot's Agent functionality to add features autonomously and reviewing pull requests automatically. Learning GitHub Copilot is for developers, testers, DevOps engineers, and software professionals at all levels. Alongside the fundamentals, you’ll dive into Copilot Edits, Agent mode, and Copilot Vision. You’ll also learn how to create your own Copilot extensions to expand its capabilities. Whether you’re working in Python, JavaScript, or any other language, this book helps you confidently integrate AI into your development workflow. Harness real-time AI insights to explore and understand unfamiliar code and algorithms Master inline completions and the chat interface to automate common tasks Turn natural language prompts into complete functions, tests, and docs quickly and easily Optimize AI results with context and prompts to get targeted solutions Streamline feature development and refactors with AI assistance in your IDE
Learning Go Programming
by Vladimir VivienAn insightful guide to learning the Go programming language About This Book * Insightful coverage of Go programming syntax, constructs, and idioms to help you understand Go code effectively * Push your Go skills, with topics such as, data types, channels, concurrency, object-oriented Go, testing, and network programming * Each chapter provides working code samples that are designed to help reader quickly understand respective topic Who This Book Is For If you have prior exposure to programming and are interested in learning the Go programming language, this book is designed for you. It will quickly run you through the basics of programming to let you exploit a number of features offered by Go programming language. What You Will Learn * Install and configure the Go development environment to quickly get started with your first program. * Use the basic elements of the language including source code structure, variables, constants, and control flow primitives to quickly get started with Go * Gain practical insight into the use of Go's type system including basic and composite types such as maps, slices, and structs. * Use interface types and techniques such as embedding to create idiomatic object-oriented programs in Go. * Develop effective functions that are encapsulated in well-organized package structures with support for error handling and panic recovery. * Implement goroutine, channels, and other concurrency primitives to write highly-concurrent and safe Go code * Write tested and benchmarked code using Go's built test tools * Access OS resources by calling C libraries and interact with program environment at runtime In Detail The Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library. This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage. Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud. Style and approach The book is written to serve as a reader-friendly step-by-step guide to learning the Go programming language. Each topic is sequentially introduced to build on previous materials covered. Every concept is introduced with easy-to-follow code examples that focus on maximizing the understanding of the topic at hand.
Learning Go Web Development
by Nathan KozyraBuild frontend-to-backend web applications using the best practices of a powerful, fast, and easy-to-deploy server language About This Book * Build a fully-featured REST API to enable client-side single page apps * Utilize TLS to build reliable and secure sites * A quick guide that provides everything a developer needs to know to build end-to-end web applications in Go Who This Book Is For This book is intended for experienced programmers with minimal-to-moderate exposure to the Go language. If you have some fundamentals down, but are looking for more detail when it comes to using Go for the web, this is the book for you. What You Will Learn * Create a listening web server * Route requests * Implement SSL/TLS * Use Go's logic-less templates * Implement caching for maximum performance * Use sessions and cookies * Utilize security best practices to keep users and data safe * Connect to data sources * Create a RESTful API In Detail Go is an open source programming language that makes it easy to build simple, reliable, and efficient software. It is a statically typed language with syntax loosely derived from that of C, adding garbage collection, type safety, some dynamic-typing capabilities, additional built-in types such as variable-length arrays and key-value maps, and a large standard library. Learning Go Web Development is a start-to-finish walkthrough of the topics most critical to anyone building a new web application. Whether it's keeping your application secure, connecting to your database, enabling token-based authentication, or utilizing logic-less templates, this book has you covered. You'll begin by learning about routing requests and implementing SSL. Moving on, you'll get to know about practices to keep users' data safe. By the end of the book, you will be able to build robust, secure, and fully-featured applications for the web. Style and approach This concise book demonstrates by doing. You'll build a component every step of the way and in the end, will have a blogging platform that can be used for personal experimentation and augmented to be used in production.
Learning Go: An Idiomatic Approach To Real-world Go Programming
by Jon BodnerGo is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages, tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. You'll also get a preview of Go's upcoming generics support and how it fits into the language.Learn how to write idiomatic code in Go and design a Go projectUnderstand the reasons for the design decisions in GoSet up a Go development environment for a solo developer or teamLearn how and when to use reflection, unsafe, and cgoDiscover how Go's features allow the language to run efficientlyKnow which Go features you should use sparingly or not at all
Learning Go: An Idiomatic Approach to Real-World Go Programming
by Jon BodnerGo has rapidly become the preferred language for building web services. Plenty of tutorials are available to teach Go's syntax to developers with experience in other programming languages, but tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. This updated edition also shows you how Go's generics support fits into the language.This book helps you:Write idiomatic code in Go and design a Go projectUnderstand the reasons behind Go's design decisionsSet up a Go development environment for a solo developer or teamLearn how and when to use reflection, unsafe, and cgoDiscover how Go's features allow the language to run efficientlyKnow which Go features you should use sparingly or not at allUse Go's tools to improve performance, optimize memory usage, and reduce garbage collectionLearn how to use Go's advanced development tools
Learning Google Analytics: Creating Business Impact and Driving Insights
by Mark EdmondsonWhy is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation
Learning Google Apps Script
by Ramalingam GanapathyCustomize and automate Google Applications using Apps Script About This Book * Gain insight into customizing and automating Google applications with JavaScript * Create add-ons for Google Sheets, Docs, or Forms; automate your workflow; integrate with external APIs; and more. * A step-by-step guide to building real-world solutions Who This Book Is For Newbies to google apps script but having practical experience in Javascript. What You Will Learn * Learn about the Google Apps script platform and work with scripts to develop Google apps * Create custom menus and dialogs * Parse and send emails * Generate Google calendar events * Build Translator and RSS reader applications * Develop interactive web pages * Design interactive web-forms * Form a workflow application In Detail Google Apps Script is a cloud-based scripting language based on JavaScript to customize and automate Google applications. Apps Script makes it easy to create and publish add-ons in an online store for Google Sheets, Docs, and Forms. It serves as one single platform to build, code, and ultimately share your App on the Web store. This book begins by covering the basics of the Google application platform and goes on to empower you to automate most of the Google applications. You will learn the concepts of creating a menu, sending mails, building interactive web pages, and implementing all these techniques to develop an interactive Web page as a form to submit sheets You will be guided through all these tasks with plenty of screenshots and code snippets that will ensure your success in customizing and automating various Google applications This guide is an invaluable tutorial for beginners who intend to develop the skills to automate and customize Google applications Style and approach An easy-to-follow yet comprehensive guide, filled with many code examples and screenshots illustrating various Google Apps scripts.
Learning Google BigQuery: A beginner's guide to mining massive datasets through interactive analysis
by Eric Brown Jason Morris Ruben Oliva Ramos Thirukkumaran Haridass Mikhail BerlyantKey Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery Book Description Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. What you will learn Get a hands-on introduction to Google Cloud Platform and its services Understand the different data types supported by Google BigQuery Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques Use partition tables in your project and query external data sources and wild card tables Create tables and data sets dynamically using the BigQuery API Perform real-time inserting of records for analytics using Python and C# Visualize your BigQuery data by connecting it to third party tools such as Tableau and R Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data