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Practical Protein Bioinformatics
by Florencio Pazos Mónica ChagoyenThis book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed explanations on how to use these tools and interpret their results and minimal mentions to their theoretical basis (only when that is required for making a better use of them). It covers a wide range of tools for dealing with different aspects of proteins, from their sequences, to their three-dimensional structures, and the biological networks they are immersed in. The selection of tools is based on the experience of the authors that lead a protein bioinformatics facility in a large research centre, with the additional constraint that the tools should be accessible through standard web browsers without requiring the local installation of specific software, command-line tools, etc. The web tools covered include those aimed to retrieve protein information, look for similar proteins, generate pair-wise and multiple sequence alignments of protein sequences, work with protein domains and motifs, study the phylogeny of a family of proteins, retrieve, manipulate and visualize protein three-dimensional structures, predict protein structural features as well as whole three-dimensional structures, extract biological information from protein structures, summarize large protein sets, study protein interaction and metabolic networks, etc. The book is associated to a dynamic web site that will reflect changes in the web addresses of the tools, updates of these, etc. It also contains QR codes that can be scanned with any device to direct its browser to the tool web site. This monograph will be most valuable for researchers in experimental labs without specific knowledge on bioinformatics or computing.
Practical Python AI Projects: Mathematical Models Of Optimization Problems With Google Or-tools
by Serge KrukDiscover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.
Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
by Ashwin PajankarQuickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations. You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets. The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.What You'll LearnReview practical aspects of Python Data Visualization with programming-friendly abstractions Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu Visualize COVID-19 data sets with PandasWho This Book Is ForData Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.
Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data
by Susan E. McGregorThe world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data.Use Python 3.8+ to read, write, and transform data from a variety of sourcesUnderstand and use programming basics in Python to wrangle data at scaleOrganize, document, and structure your code using best practicesCollect data from structured data files, web pages, and APIsPerform basic statistical analyses to make meaning from datasetsVisualize and present data in clear and compelling ways
Practical Python Programming for IoT: Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3
by Gary SmartLeverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement and measuring distance, light, and a host of other environmental conditionsKey FeaturesLearn the fundamentals of electronics and how to integrate them with a Raspberry PiUnderstand how to build RESTful APIs, WebSocket APIs, and MQTT-based applicationsExplore alternative approaches to structuring IoT applications with PythonBook DescriptionThe age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This book consists of three parts, with the first focusing on the "Internet" component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the "Things" aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project. By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python.What you will learnUnderstand electronic interfacing with Raspberry Pi from scratchGain knowledge of building sensor and actuator electronic circuitsStructure your code in Python using Async IO, pub/sub models, and moreAutomate real-world IoT projects using sensor and actuator integrationIntegrate electronics with ThingSpeak and IFTTT to enable automationBuild and use RESTful APIs, WebSockets, and MQTT with sensors and actuatorsSet up a Raspberry Pi and Python development environment for IoT projectsWho this book is forThis IoT Python book is for application developers, IoT professionals, or anyone interested in building IoT applications using the Python programming language. It will also be particularly helpful for mid to senior-level software engineers who are experienced in desktop, web, and mobile development, but have little to no experience of electronics, physical computing, and IoT.
Practical Quantum Computing for Developers: Programming Quantum Rigs In The Cloud Using Python, Quantum Assembly Language And Ibm Qexperience
by Vladimir SilvaWrite algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experiments, circuits, simulators, real quantum devices, and more. You’ll be able to run experiments in the cloud on a real quantum device.Furthermore, this book shows you how to do quantum programming using the QISKit (Quantum Information Software Kit), Python SDK, and other APIs such as QASM (Quantum Assembly). You’ll learn to write code using these languages and execute it against simulators (local or remote) or a real quantum computer provided by IBM’s Q Experience. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. You’ll peak inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more.Along the way you’ll also cover game theory with the Magic Square, an example of quantum pseudo-telepathy where parties sharing entangled states can be observed to have some kind of communication between them. In this game Alice and Bob play against a referee. Quantum mechanics allows Alice and Bob to always win!By the end of this book, you will understand how this emerging technology provides massive parallelism and significant computational speedups over classical computers, and will be prepared to program quantum computers which are expected to replace traditional computers in the data center.What You Will LearnUse the Q Experience Composer, the first-of-its-kind web console to create visual programs/experiments and submit them to a quantum simulator or real device on the cloudRun programs remotely using the Q Experience REST API Write algorithms that provide superior performance over their classical counterpartsBuild a Node.js REST client for authenticating, listing remote devices, querying information about quantum processors, and listing or running experiments remotely in the cloudCreate a quantum number generator: The quintessential coin flip with a quantum twistDiscover quantum teleportation: This algorithm demonstrates how the exact state of a qubit (quantum information) can be transmitted from one location to another, with the help of classical communication and quantum entanglement between the sender and receiverPeek into single qubit operations with the classic game of Battleships with a quantum twistHandle the counterfeit coin problem: a classic puzzle that consists of finding a counterfeit coin in a beam balance among eight coins in only two turnsWho This Book Is ForDevelopers and programmers interested in this new field of computing.
Practical R 4: Applying R to Data Manipulation, Processing and Integration
by Jon WestfallGet started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4 dives into specific projects and examples starting with running and analyzing a survey using R and LimeSurvey. Next, you'll carry out advanced statistical analysis using R and MouselabWeb. Then, you’ll see how R can work for you without statistics, including how R can be used to automate data formatting, manipulation, reporting, and custom functions. The final part of this book discusses using R on a server; you’ll build a script with R that can run an RStudio Server and monitor a report source for changes to alert the user when something has changed. This project includes both regular email alerting and push notification. And, finally, you’ll use R to create a customized daily rundown report of a person's most important information such as a weather report, daily calendar, to-do's and more. This demonstrates how to automate such a process so that every morning, the user navigates to the same web page and gets the updated report.What You Will Learn Set up and run an R script, including installation on a new machine and downloading and configuring R Turn any machine into a powerful data analytics platform accessible from anywhere with RStudio Server Write basic R scripts and modify existing scripts to suit your own needs Create basic HTML reports in R, inserting information as neededBuild a basic R package and distribute it Who This Book Is For Some prior exposure to statistics, programming, and maybe SAS is recommended but not required.
Practical RDF: Solving Problems with the Resource Description Framework
by Shelley PowersThe Resource Description Framework (RDF) is a structure for describing and interchanging metadata on the Web--anything from library catalogs and worldwide directories to bioinformatics, Mozilla internal data structures, and knowledge bases for artificial intelligence projects. RDF provides a consistent framework and syntax for describing and querying data, making it possible to share website descriptions more easily. RDF's capabilities, however, have long been shrouded by its reputation for complexity and a difficult family of specifications. Practical RDF breaks through this reputation with immediate and solvable problems to help you understand, master, and implement RDF solutions.Practical RDF explains RDF from the ground up, providing real-world examples and descriptions of how the technology is being used in applications like Mozilla, FOAF, and Chandler, as well as infrastructure you can use to build your own applications. This book cuts to the heart of the W3C's often obscure specifications, giving you tools to apply RDF successfully in your own projects.The first part of the book focuses on the RDF specifications. After an introduction to RDF, the book covers the RDF specification documents themselves, including RDF Semantics and Concepts and Abstract Model specifications, RDF constructs, and the RDF Schema. The second section focuses on programming language support, and the tools and utilities that allow developers to review, edit, parse, store, and manipulate RDF/XML. Subsequent sections focus on RDF's data roots, programming and framework support, and practical implementation and use of RDF and RDF/XML.If you want to know how to apply RDF to information processing, Practical RDF is for you. Whether your interests lie in large-scale information aggregation and analysis or in smaller-scale projects like weblog syndication, this book will provide you with a solid foundation for working with RDF.
Practical React Native: Build Two Full Projects and One Full Game using React Native
by Frank ZammettiDiscover how to use React Native in the real world, from scratch. This book shows you what React Native has to offer, where it came from, and where it’s going. You'll begin with a solid foundation of practical knowledge, and then build on it immediately by constructing three different apps. You'll learn how to use each feature of React Native by working on two full projects and one full game. These aren’t just simple React Native Hello World examples (although you’ll naturally start there!) but are apps that you can, if you so choose, install on your mobile devices and use for real. Throughout this book, you'll gain real-world familiarity with React Native as well as supporting components from Expo, NativeBase, React Navigation and the Redux and Lodash libraries. You'll also build server-side code for a mobile React Native app to talk to using the popular Node.js and Socket.io library, providing you a holistic view of things even beyond React Native. And, you'll see many helpful tips, tricks and gotchas to watch out for along the way!Practical React Native offers practical exercises that will give you a solid grasp of building apps with React Native, allowing you to springboard into creating more advanced apps on your own.Creating a game with React Native will allow you to see a whole other perspective on what React Native can do.What You'll Learn Master the basics of React NativeCreate a logically structured projectReview interface elements, such as widgets, controls, and extensionsBuild layoutsWork with Expo, an open source toolchain Who This book Is ForThe primary audience is mobile developers and anyone looking to build for multiple mobile platforms and trying to do so with a codebase that is largely the same across all. Readers will need a decent foundation, but not necessarily be experts in, HTML, CSS, and JavaScript, but I'll assume little beyond that.
Practical Real-time Data Processing and Analytics
by Shilpi Saxena Saurabh GuptaA practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book • Learn about the various challenges in real-time data processing and use the right tools to overcome them • This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems • A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn • Get an introduction to the established real-time stack • Understand the key integration of all the components • Get a thorough understanding of the basic building blocks for real-time solution designing • Garnish the search and visualization aspects for your real-time solution • Get conceptually and practically acquainted with real-time analytics • Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.
Practical Recommender Systems
by Kim FalkSummaryOnline recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application!Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyRecommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions. Recommender systems are practically a necessity for keeping your site content current, useful, and interesting to your visitors.About the BookPractical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you'll see how to collect user data and produce personalized recommendations. You'll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book covers scaling problems and other issues you'll encounter as your site grows.What's insideHow to collect and understand user behaviorCollaborative and content-based filteringMachine learning algorithms Real-world examples in PythonAbout the ReaderReaders need intermediate programming and database skills.About the AuthorKim Falk is an experienced data scientist who works daily with machine learning and recommender systems.Table of ContentsPART 1 - GETTING READY FOR RECOMMENDER SYSTEMSWhat is a recommender? User behavior and how to collect it Monitoring the system Ratings and how to calculate themNon-personalized recommendationsThe user (and content) who came in from the coldPART 2 - RECOMMENDER ALGORITHMSFinding similarities among users and among contentCollaborative filtering in the neighborhoodEvaluating and testing your recommenderContent-based filteringFinding hidden genres with matrix factorizationTaking the best of all algorithms: implementing hybrid recommendersRanking and learning to rankFuture of recommender systems
Practical Reinforcement Learning
by Dr Engr. AkhtarMaster different reinforcement learning techniques and their practical implementation using OpenAI Gym, Python and Java About This Book • Take your machine learning skills to the next level with reinforcement learning techniques • Build automated decision-making capabilities in your systems • Cover Reinforcement Learning concepts, frameworks, algorithms, and more in detail Who This Book Is For Machine learning/AI practitioners, data scientists, data analysts, machine learning engineers, and developers who are looking to expand their existing knowledge to build optimized machine learning models, will find this book very useful. What You Will Learn • Understand the basics of reinforcement learning methods, algorithms, and more, and the differences between supervised, unsupervised, and reinforcement learning • Master the Markov Decision Process math framework by building an OO-MDP Domain in Java • Learn dynamic programming principles and the implementation of Fibonacci computation in Java • Understand Python implementation of temporal difference learning • Develop Monte Carlo methods and various policies used to build a Monte Carlo simulator using Python • Understand Policy Gradient methods and policies applied in the reinforcement domain • Instill reinforcement methods in the autonomous platform using a moving car example • Apply reinforcement learning algorithms in games with REINFORCEjs In Detail Reinforcement learning (RL) is becoming a popular tool for constructing autonomous systems that can improve themselves with experience. We will break the RL framework into its core building blocks, and provide you with details of each element. This book aims to strengthen your machine learning skills by acquainting you with reinforcement learning algorithms and techniques. This book is divided into three parts. The first part defines Reinforcement Learning and describes its basics. It also covers the basics of Python and Java frameworks, which we are going to use later in the book. The second part discusses learning techniques with basic algorithms such as Temporal Difference, Monte Carlo, and Policy Gradient—all with practical examples. Lastly, in the third part we apply Reinforcement Learning with the most recent and widely used algorithms via practical applications. By the end of this book, you'll know the practical implementation of case studies and current research activities to help you advance further with Reinforcement Learning. Style and approach This hands-on book will further expand your machine learning skills by teaching you the different reinforcement learning algorithms and techniques using practical examples.
Practical Remote Pair Programming
by Adrian BolboacăThis book is for any developer who wants to understand the different practical aspects involved in remote pair programming and adopt them in their existing development teams. If you’re a team leader or technical manager, this book will serve as a manual for implementing remote pair programming covering the best resources for you to manage communication and collaboration using pair programming with your team members working remotely in distributed teams.
Practical Rendering and Computation with Direct3D 11
by Jason Zink Matt Pettineo Jack HoxleyDirect3D 11 offers such a wealth of capabilities that users can sometimes get lost in the details of specific APIs and their implementation. While there is a great deal of low-level information available about how each API function should be used, there is little documentation that shows how best to leverage these capabilities. Written by active me
Practical Responsive Typography
by Dario CalonaciGet your attractive type design up and running in the browser with real-world, responsive, and tailored tutorials About This Book * No coding experience necessary - get started with responsive typography today! * Find out how to customize your own typography designs to truly own your website's identity * From the basics to cutting-edge design, this book is the perfect guide Who This Book Is For This book is for web developers familiar with the basics of HTML5 and CSS3 who want to learn how to implement responsive typography. No coding experience is required, so dive in and get started! What You Will Learn * Customize and personalize fonts on a responsive website * Learn how to write CSS3 rules for viewports * Define media queries and write them using CSS3 and HTML5 * Implement SASS typography techniques to minimize the CSS output and manage the font variables * Get to grips with dropcaps and learn how to use them effectively on the web In Detail Typography is an essential part of any website's design. It can help you stand out from the crowd, communicate with clarity, and cultivate a distinctive identity. Practical Responsive Typography demonstrates how to use typography to greatest effect. With this book you won't underestimate it's importance - you'll be in complete control over this crucial component of web design. From scaling and optimizing screen spaces to using a range of different web fonts, you'll quickly get up to speed with the practical considerations behind successful typography. But more than the fundamentals, you'll also find out how to go further by customizing typography designs to suit your identity. Style and approach This is an easy-to-follow guide full of real-world examples and tutorials. Each typography style and rule is clearly explained and placed in context.
Practical Reverse Engineering: Using X86, X64, Arm, Windows Kernel, And Reversing Tools
by Bruce Dang Alexandre Gazet Elias BachaalanyAnalyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security analysts, security engineers, and system programmers, so they can learn how to use these same processes to stop hackers in their tracks. The book covers x86, x64, and ARM (the first book to cover all three); Windows kernel-mode code rootkits and drivers; virtual machine protection techniques; and much more. Best of all, it offers a systematic approach to the material, with plenty of hands-on exercises and real-world examples. Offers a systematic approach to understanding reverse engineering, with hands-on exercises and real-world examples Covers x86, x64, and advanced RISC machine (ARM) architectures as well as deobfuscation and virtual machine protection techniques Provides special coverage of Windows kernel-mode code (rootkits/drivers), a topic not often covered elsewhere, and explains how to analyze drivers step by step Demystifies topics that have a steep learning curve Includes a bonus chapter on reverse engineering tools Practical Reverse Engineering: Using x86, x64, ARM, Windows Kernel, and Reversing Tools provides crucial, up-to-date guidance for a broad range of IT professionals.
Practical Rust Projects: Build Serverless, AI, Machine Learning, Embedded, Game, and Web Applications
by Shing Lyu Andrew RzeznikGo beyond the basics and build complete applications using the Rust programming language, updated for Rust 2021 edition. The applications you'll build over the course of this book include a high-performance web client, an embedded computer (for a robot, for example), a game, a serverless web app, and an application that incorporates AI and machine learning. Each chapter is organized in the following format: what the kind of should application look like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear preference. Practical Rust Projects, Second Edition will open your eyes to how Rust can be put to practical, real-world use. After reading this book, you will be able to use Rust to build a variety of your own projects. What You Will Learn Explore practical Rust programming language-based projects, examples and case studiesCreate a GUIBuild a high performance web Front-end using WebAssemblyDevelop REST APIs using RustGo serverless to develop a cloud application using the Amazon AWS Rust SDKCreate a game using Rust, along with AI and machine learning apps Who This Book Is For Those with basic Rust knowledge who want to learn more about how to apply Rust in real-world scenarios.
Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications
by Shing LyuGo beyond the basics and build complete applications using the Rust programming language. The applications in this book include a high-performance web client, a microcontroller (for a robot, for example), a game, an app that runs on Android, and an application that incorporates AI and machine learning. Each chapter will be organized in the following format: what this kind of application looks like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear winner. Practical Rust Projects will open your eyes to the world of practical applications of Rust. After reading the book, you will be able to apply your Rust knowledge to build your own projects. What You Will Learn Write Rust code that runs on microcontrollers Build a 2D game Create Rust-based mobile Android applications Use Rust to build AI and machine learning applications Who This Book Is For Someone with basic Rust knowledge, wishing to learn more about how to apply Rust in a real-world scenario.
Practical Rust Web Projects: Building Cloud and Web-Based Applications
by Shing LyuGo beyond the basics of Rust and build web and serverless cloud applications. The applications explained in this practical book include web sites, RESTful APIs, a real-time web chat application, and frontend application with WebAssembly. Each chapter is organized in the following format: what this kind of application looks like; requirements for the example program; an introduction to the Rust libraries used; step-by-step implementation of the example program, including common pitfalls and best practices; and a brief comparison of libraries and frameworks in the same domain.This book will open your eyes to the world of practical web applications of Rust. After reading the book, you will be able to apply your Rust knowledge to build your own web projects. What You Will LearnBuild dynamic websites with databasesBuild RESTful APIsWrite a WebSocket server that can power a real-time chat app in RustDiscover the benefits of serverless computing using Amazon Web Service's Rust supportCompile Rust to WebAssembly for high-performance frontend applicationsWho This Book Is For A reader with basic Rust knowledge, wishing to learn more about how to apply Rust in a real-world scenario. A developer who is evaluating the possibility to build their next project in Rust.
Practical SDR: Getting Started with Software-Defined Radio
by David Clark Paul ClarkDiscover the exciting world of software-defined radio (SDR) through this hands-on, beginner-friendly introduction.Whether you&’re a hobbyist interested in exploring the airwaves, a student learning about wireless communications, or an engineer looking to prototype RF designs, Practical SDR will help you master the fundamentals of software-defined radio.You&’ll build virtual radio receivers on your computer, then extract audio from real AM and FM signals; learn how amplitude modulation works by building an AM radio; understand signal filtering by crafting clean FM reception; and grasp complex topics like IQ sampling. You&’ll use the intuitive GNU Radio Companion interface to create working radio systems piece by piece, then move on to building functional AM and FM receivers, and even design your own radio transmitter.Along the way, you&’ll learn how to:Manipulate radio frequencies from 1 MHz to 6 GHzUse filters and gain control to extract clear signals from noiseMaximize your SDR&’s performance by choosing the right antennas and RF hardwareProcess complex, real-time IQ data to demodulate actual radio signalsBuild a flexible, virtual radio testing environment on your computerThis isn&’t just another theory book. Practical SDR bridges the gap between basic tutorials and advanced applications, providing a solid foundation for diving into modern wireless systems like Wi-Fi, Bluetooth, and cellular communications.Some projects require SDR hardware, such as a HackRF One, and a compatible antenna.
Practical SQL, 2nd Edition: A Beginner's Guide to Storytelling with Data
by Anthony DeBarrosAnalyze data like a pro, even if you&’re a beginner.Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others.*You&’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently.You&’ll learn how to: • Create databases and related tables using your own data • Aggregate, sort, and filter data to find patterns • Use functions for basic math and advanced statistical operations • Identify errors in data and clean them up • Analyze spatial data with a geographic information system (PostGIS) • Create advanced queries and automate tasksThis updated second edition has been thoroughly revised to reflect the latest in SQL features, including additional advanced query techniques for wrangling data. This edition also has two new chapters: an expanded set of instructions on for setting up your system plus a chapter on using PostgreSQL with the popular JSON data interchange format. Learning SQL doesn&’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases.* Microsoft SQL Server employs a variant of the language called T-SQL, which is not covered by Practical SQL.
Practical SQL: A Beginner's Guide to Storytelling with Data
by Anthony DeBarrosPractical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools. You’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from the U.S. Census and other federal and state government agencies. With exercises and real-world examples in each chapter, this book will teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You’ll learn how to: -Create databases and related tables using your own data -Define the right data types for your information -Aggregate, sort, and filter data to find patterns -Use basic math and advanced statistical functions -Identify errors in data and clean them up -Import and export data using delimited text files -Write queries for geographic information systems (GIS) -Create advanced queries and automate tasks Learning SQL doesn’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. This book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.
Practical Salesforce Architecture: Understanding and Deploying the Salesforce Ecosystem for the Enterprise
by Paul McCollumOnce renowned as a customer relationship management tool, Salesforce has evolved into a cloud-first application and capability ecosystem. With dedicated components for tasks such as middleware, big data, reporting, ETL, data loading, and API orchestration, Salesforce has become more prevalent in modern architectures.This concise yet comprehensive guide provides an overview of Salesforce architecture for enterprise architects and Salesforce ecosystem architects. Author Paul McCollum, Salesforce Technical Architect at Accenture, provides a roadmap for integrating major elements of the Salesforce ecosystem with planned or existing enterprise architecture. You'll learn how to use these components to address the diverse needs of different organizations.Many companies today are adding or building multicloud capabilities and incorporating various elements from the Salesforce ecosystem. With this book, you'll learn:Strengths, weaknesses, and growth areas of Salesforce's enterprise architecture domain featuresHow Salesforce compares to other cloud providersMethods for using the Salesforce ecosystem effectively to address your organization's needsHow to integrate Salesforce with planned or existing enterprise architecturesWays to manage and forecast performance, complexity, and ease of operation across the Salesforce platform
Practical Salesforce Development Without Code: Building Declarative Solutions on the Salesforce Platform
by Philip WeinmeisterUse this hands-on guide to build powerful solutions on the Salesforce platform without using a single line of code. This revised and expanded second edition includes Process Builder, Flow Builder, Lightning App Builder, Lightning Bolt Solutions, and more.Practical Salesforce Development Without Code shows you how to unlock the power of the Salesforce platform to solve real business problems. Adhering to Salesforce's "clicks, not code" mantra, Salesforce expert Phil Weinmeister walks Salesforce newcomers and veterans through different business problems and identifies effective—and proven—approaches to solutions using the platform's declarative framework.By adopting this book as your guide, you will learn how to deliver business solutions within Salesforce by combining analysis, creativity, and logic with core elements such as validation rules, workflow rules, processes, flows, formula fields, and Lightning apps. In addition, Weinmeister dissects and explains the most useful functions and features for declarative developers and shows you how to use them. Best of all, Weinmeister uses real-life business scenarios and visuals. Applying the lessons learned from this how-to guide will ultimately save you time and ensure that your clients or internal customers are enabled, equipped, and empowered. What You'll Learn Build objects, fields, and relationships to establish a sensible data modelAutomate business processes by using Workflow, Process Builder, and FlowUtilize functions and develop formulas effectively for a variety of business needsDevelop approval processes to handle exception scenariosEmploy actions to easily create efficient and relevant user experiencesManage your environments and deploy your solutions Who This Book Is forBusiness analysts, Salesforce administrators, and Salesforce developers
Practical Salesforce.com Development Without Code
by Philip WeinmeisterAre you facing a challenging Salesforce. com problem--say, relating to automation, configuration, formulation, or reporting--that you can't quite crack? Or maybe you are hoping to infuse some creativity into your solution design strategy to solve problems faster or make solutions more efficient? Practical Salesforce. com Development Without Code shows you how to unlock the power of the Force. com platform to solve real business problems--and all without writing a line of code. Adhering to Salesforce. com's 'clicks, not code' mantra, Salesforce. com expert Phil Weinmeister walks you through different business problems and identifies effective, creative--and proven--approaches to solutions using the platform's declarative framework. If you are a Salesforce. com administrator, analyst, consultant, or developer, you can attest to the insatiable appetite of users for new functionality. Your clients expect solutions--and now. By adopting Practical Salesforce. com Development Without Code as your guide, you will learn how to deliver business solutions within Salesforce. com by combining analysis, creativity, and logic with some of its core elements, including validation rules, workflow rules, and formula fields. In addition, Weinmeister dissects and explains the most useful functions and features for developers, and shows you how to use them. Among other things, you will learn how to: Build objects, fields, and relationships to establish a sensible data modelAutomate business processes by using workflow rules and flows (Visual Workflow)Utilize functions and develop formulas effectively for a variety of business needsDevelop intricate approval processes to handle exception scenariosEmploy publisher actions to drive additional functionality from the Chatter feedManage your data using Data LoaderBest of all, Weinmeister uses real-life business scenarios and visuals to keep you engaged and learning something new with every page you read. Practical Salesforce. com Development Without Code will help you absorb the principles behind dozens of creative and thoughtful ways to solve your business problems. Applying the lessons learned from this how-to guide will ultimately save you time and ensure that your clients or internal customers are well satisfied and productive