Discover the powerful ESP8266 and ESP32 microcontrollers and their Wi-Fi communication. The ESP32 microcontroller features Bluetooth and BLE communication in addition to Wi-Fi. The book emphasizes practical projects and readers are guided through Wi-Fi and Bluetooth communication, mobile app design and build, ESP-NOW and LoRa communication, and signal generation.
Projects throughout the book utilize the Wi-Fi functionality and processing power of the ESP microcontrollers. Projects are built in the Arduino IDE, so you don't need to download other programming software. Mobile apps are now ubiquitous, making the app build projects of the book very relevant, as are the web page design projects.
In Electronics Projects with the ESP8266 and ESP32, you'll see how easy and practical it is to access information over the internet, develop web pages, build mobile apps to remotely control devices with speech recognition or incorporate Google Maps in a GPS route tracking app.
· Build practical electronics projects with an ESP8266 or ESP32 microcontroller with Wi-Fi communication
· Use the Wi-Fi function of the ESP8266 and ESP32 to update web pages
· Communicate with your mobile phone or smart watch by Bluetooth Low Energy
· Transmit and receive information to control remote devices over the internet
· Understand the design and build of mobile apps for internet based applications
· Use WebSocket, MQTT brokers and IFTTT for fast two-way communication with webpagesWho This Book Is For
The target audience is for Makers and Tinkerers who want to build internet/intranet based applications with more powerful microcontrollers, such as the ESP8266 or ESP32. A level of C++ programming expertise with the Arduino IDE is assumed, although all sketches are fully described and comprehensively commented.
Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, the Spock framework for developing web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You'll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell takes advantage of this to show off the language and what it can do.What You Will Learn
Get started programming with Haskell
Examine the different parts of the language
Gain an overview of the most important libraries and tools in the Haskell ecosystem
Apply functional patterns in real-world scenarios
Understand monads and monad transformers
Proficiently use laziness and resource management
Who This Book Is ForExperienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.
Lots of books and tutorials start off teaching Ember with Ember Data. This is great, especially if you are in control of your API, but what if you aren't? You do a little research and start seeing terminology like adapters, serializers, transforms, and snapshots, and quickly become overwhelmed. Maybe you've thought to yourself that Ember isn't for you. Well, if this sounds familiar, then this book is for you. What You'll Learn
Review the differences between normalization and serializationUnderstand how the built-in adapters and serializers in Ember Data workCustomize adapters and serializers to consume any API and write them from scratchHandle API errors in Ember DataWork with the Reddit API using Ember DataLearn how to use polymorphic relationships
Who This Book Is For
Deconstruct the history of patterns of innovation in business and connect them to existing and failed attempts in management consultancies, engineering, web technologies and academic institutions. This book shows you how to create an optimal environment at work for growth and innovation.
Many large-scale organizations eventually invest in research and innovation as a dedicated part of their businesses. In doing so, they are faced with two choices: build their own practice of innovation or enact patterns of innovation created before them, ones they perceived as "tried and tested." In this book, you will see how patterns of innovation touch many aspects of a worker's life: from how their work is presented to others, job titles, working environment, and expectations around output. Every chapter will offer a history of these patterns and examples of how they have succeeded and failed within organizations.
What You Will Learn
Identify how innovation is named and highlighted in organizationsReveal ways to champion innovation to clients and the outside world, from trade shows and conferences inside the officeUncover ways companies acquire innovation, including incubators or mergersDiscover the conditions for innovation to happen every day, including office layouts, time management, communication structures, and expectation management
Who This Book Is ForTech start-up/scale-up founders, management consultants, managing directors, innovation managers and heads of R&D, academic researchers, interior designers, and architects
AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy.
This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place - that is, it's the handbook you need for AI. You'll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on.
This book will help you find the right areas to apply AI.
What You'll Learn
Put together an effective data strategy
Create models and how to successfully test themEvaluate AI toolsAssemble the right teamScale AI across an organization
Who This Book Is For
Primarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.
There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data Officer (CDO) at a company is the leader of this process, making the position an often daunting one. The Chief Data Officer Management Handbook is here to help.With this book, author Martin Treder advises CDOs on how to be better prepared for their swath of responsibilities, how to develop a more sustainable approach, and how to avoid the typical pitfalls. Based on positive and negative experiences shared by current CDOs, The Chief Data Officer Management Handbook guides you in designing the ideal structure of a data office, implementing it, and getting the right people on board.Important topics such as the data supply chain, data strategy, and data governance are thoughtfully covered by Treder. As a CDO it is important to use your position effectively with your entire team. The Chief Data Officer Management Handbook allows all employees to take ownership in data collaboration. Data is the foundation of present and future tech innovations, and you could be the leader that makes the next big impact.
What You Will LearnApply important elements of effective data managementGain a comprehensive overview of all areas of data (which are often managed independently Work with the data supply chain, from data acquisition to its usage, a review of all relevant stakeholders, data strategy, and data governanceWho This Book is For
CDOs, data executives, data advisors, and all professionals looking to understand about how a data office functions in an organization.
Harness the power of Jakarta EE to build sturdy back ends while applying Vue.js on the front end. The demand for modern, high-performing enterprise web applications is growing swiftly. The basic HTML front end is no longer enough to meet customer demands. This book shows you how to unlock professional full-stack web development using Jakarta EE and Vue.js.
First, you will review the fundamental concepts of Vue.js and essential features of Jakarta EE. You'll then see how to build web applications through every stage of the process, taking into consideration requirement analysis, data model design, code design, the UI, and technical designs, all the way through to implementation, testing, production deployment, and monitoring. Towards the end of the book, you will also learn about the key design patterns and best practices that underpin professional full-stack web development.
Full-stack development is the way forward on the web, and using JakartaEE and Vue.js is a great place to start. Get up-to-speed using this book today.
What You'll Learn
Connect an application's frontend and backend with Vue.js and Jakarta EEBuild enterprise web applications from start to finishTest, secure and deploy your enterprise web applicationsApply common patterns when building full stack applicationsUnderstand the current IT architecture situation of a company, and define a roadmap to accomplish the company goalsCreate decoupled applications using software craftsmanship ideas
Who This Book Is For
Java/Jakarta EE developers who would like to gain a stronghold on both frontend and backend development. Basic knowledge of Java EE is assumed.
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade.
Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines.
By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets.
What You Will Learn
Build an end-to-end predictive modelImplement multiple variable selection techniquesOperationalize modelsMaster multiple algorithms and implementations
Who This Book is For
Data scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.
Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python. Next, you will move on to an overview of semantic constructs and class properties followed by how to perform automatic reasoning. You will also learn about annotations, multilingual texts, and how to add Python methods to OWL classes and ontologies. Using medical terminologies as well as direct access to RDF triples is also covered. Python is one of the most used programming languages, especially in the biomedical field, and formal ontologies are also widely used. However, there are limited resources for the use of ontologies in Python. Owlready2, downloaded more than 60,000 times, is a response to this problem, and this book is the first one on the topic of using ontologies with Python.What You Will LearnUse Owlready2 to access and modify OWL ontologies in PythonPublish ontologies on dynamic websitesPerform automatic reasoning in PythonUse well-known ontologies, including DBpedia and Gene Ontology, and terminological resources, such as UMLS (Unified Medical Language System)Integrate Python methods in OWL ontologies
Who Is This Book For
Beginner to experienced readers from biomedical sciences and artificial intelligence fields would find the book useful.
Ready to learn programming with less effort and more fun? Then do it the lazy way! C++20 for Lazy Programmers uses humor and fun to make you actually willing to read and eager to do the projects as you master the popular and powerful C++ language. Along the way it includes many features from the new C++20 standard, such as ranges, spans, format strings, the "spaceship" operator, and concepts (template parameter requirements), and provides brief introductions to modules and coroutines.With this unique method, you'll stretch your abilities with a variety of projects, including your own C++ arcade game. You'll construct your own classes, templates, and abstract data types. After reading and using this book you'll be ready to build real-world C++ applications and game projects on your own.What You Will Learn:The brand-new C++20 standardProgramming graphics and games with the SDL library, using SSDL, the "Simple SDL" wrapper libraryHow to use the most common C++ compilers -- Visual Studio for Windows, and g++ (with Unix or MinGW) -- and their associated debuggers"Anti-bugging" for easy fixes to common problems Sound practices for becoming a productive programmerHow to make your own big projects, including a C++-based arcade game The built-in Standard Template Library (STL) functions and classes for easy and efficient programmingPowerful data types including strings, stacks, vectors, and linked lists -- not by reading about them but by building them -- preparing you further for a career in programmingWho This Book Is For
All who are new to C++, either self-learners or students in college-level courses.
Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation for creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The first part of Spring Cloud Data Flow introduces the concepts you will need in the rest of the book. It begins with an overview of the cloud, microservices, and big data, before moving on to the Spring projects essential to modern big data applications in Java: Spring Integration, Spring Batch, Spring Cloud Stream, and Spring Cloud Task. The second part of the book covers the internals of Spring Cloud Data Flow, giving you the insights and knowledge required to build the applications you need. You'll learn how to use Spring Data Flow's DSL and how to integrate with third-party cloud platform solutions, such as Kubernetes. Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful skills for real-world applications of the technologies covered throughout the rest of the book. What You Will LearnSee the Spring Cloud Data Flow internals Create your own Binder using NATs as BrokerMater Spring Cloud Data Flow architecture, data processing, and DSLIntegrate Spring Cloud Data Flow with KubernetesUse Spring Cloud Data Flow local server, Docker Compose, and KubernetesDiscover the Spring Cloud Data Flow applications and how to use themWork with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and Grafana Who This Book Is ForThose with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended.
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.
This book is divided into three parts - programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python - the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.
The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis.
The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.
What You'll LearnFurther your programming and analytical skills with PythonSolve mathematical problems in calculus, and set theory and algebra with PythonWork with various libraries in Python to structure, analyze, and visualize dataTackle real-life case studies using PythonReview essential statistical concepts and use the Scipy library to solve problems in statistics Who This Book Is For
Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.
Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#. You will not be bored learning the theory underpinning AI. Instead, you will learn by experience and practice, and complete an engaging project in each chapter.
AI is the one of the most popular subjects in gaming today, ranging from controlling the behavior of non-player characters to procedural generated levels. This book starts with an introduction to AI and its use in games. Basic moving behaviors and pathfinding are covered, and then you move through more complex concepts of pathfinding and decision making.
What You Will LearnUnderstand the fundamentals of AICreate gameplay-based AI to address navigation and decision-making problemsPut into practice graph theory and behavior modelsAddress pathfinding problemsUse the A* algorithm, the deus ex machina of pathfinding algorithmsCreate a mini stealth game
Who This Book Is For
Developers and programming enthusiasts with a basic knowledge of Unity and C# who want to understand and master the foundations of artificial intelligence in games
Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.
Over the last couple of decades, there has been an ongoing quandary in the developer world. Developers are enlisted to build applications to meet users' demands; users get applications that meet the criteria from the developers' point of view, but they are far from what the users envisioned. The difference is often wide and nearly catastrophic in fields where users' actions are nearly impossible to predict, such as science, research work, financial analysis, and others. End users get frustrated with the applications because they were not built with their use cases in mind. For a long time, it was assumed that the developers who created the code should drive their programs and be responsible for all scenarios. While generally not an issue in simple programs, this view is wrong for complex applications in the field of science. These end users are the best specialists in their respective fields and need applications to work beyond the scenarios prepared and allowed for by developers.This book teaches you methods to manage your applications in a way that gives control to your target end users. You will learn proven methods using an easy and predictable instrument, the all-powerful algorithm, to create objects that are movable and re-sizable by users.Get ready to learn by example, using an algorithm of total movability and experience, implemented in different situations. You will begin with the simplest code examples and work your way up to real, complicated programs applicable in STEM fields.
What You Will Learn
Pass the control of your programs from developers to end usersUnderstand that the most valuable result is not the algorithm itself, but the consequence of using itBuild user-driven applications that include total movability of screen elementsSee concepts applied in real situations and scenariosBe exposed to well-known programs and tasks for developing user-driven applicationsAccess accompanying code written in C# and available on GitHub
Who This Book Is For
Developers who want to write or design programs that give their target end users full control over their application
This pocket reference has been updated with the new PHP 8 release. It is a condensed, code-rich scripting and syntax handbook for the PHP scripting language. You won't find any technical jargon, bloated samples, drawn-out history lessons or witty stories in this book. What you will find is a web scripting language reference that is concise, to the point, and highly accessible. The book is packed with useful information and is a must-have for any PHP programmer or web developer. In it, you will find a concise reference to the PHP 8 scripting language syntax. It includes short, simple, and focused code examples; a well-laid-out table of contents; and a comprehensive index allowing easy review.
PHP 8 Quick Scripting Reference presents the essentials of PHP in a well-organized format, including new features in PHP 8 such as the just in time (JIT) compiler, union types, nullsafe operator, null coalescing assignment operator, match expressions, named arguments, throw expressions, static return type, non-capturing catches, reclassified engine warnings and constructor property promotion.
What You Will Learn
Discover what is new in PHP 8 and how to get started with it Work with variables, operators, strings, arrays, conditionals, loops, and other constructs Group and reuse code with functions, methods, and namespaces Use object-oriented features such as classes, inheritance, abstract classes, and interfaces Import files and retrieve user data Make use of type declarations and type conversions Test variables, create references, and use overloading methods Store user data with cookies and sessions Deal with errors through error handling, exception handling, and assertions Who This Book Is For
Experienced PHP programmers and web developers who may be new to PHP.
Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches. In the authors' experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms. This leads to software that is fragile in terms of extensibility and difficult to test without fully integrated software and hardware. Patterns in the Machine focuses on creating loosely coupled implementations that embrace both change and testability.
This book illustrates how implementing continuous integration, automated unit testing, platform-independent code, and other best practices that are not typically implemented in the embedded systems world is not just feasible but also practical for today's embedded projects.
After reading this book, you will have a better idea of how to structure your embedded software projects. You will recognize that while writing unit tests, creating simulators, and implementing continuous integration requires time and effort up front, you will be amply rewarded at the end of the project in terms of quality, adaptability, and maintainability of your code.
What You Will Learn Incorporate automated unit testing into an embedded projectDesign and build functional simulators for an embedded projectWrite production-quality software when hardware is not availableUse the Data Model architectural pattern to create a highly decoupled design and implementationUnderstand the importance of defining the software architecture before implementation starts and how to do itDiscover why documentation is essential for an embedded projectUse finite state machines in embedded projects Who This Book Is For
Mid-level or higher embedded systems (firmware) developers, technical leads, software architects, and development managers.
Build and deploy machine learning and deep learning models in production with end-to-end examples.
This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes.
The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter notebooks to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways.
What You Will LearnBuild, train, and deploy machine learning models at scale using KubernetesContainerize any kind of machine learning model and run it on any platform using DockerDeploy machine learning and deep learning models using Flask and Streamlit frameworks
Who This Book Is For
Data engineers, data scientists, analysts, and machine learning and deep learning engineers
Acquire the skills to build an App Volumes environment for a proof of concept, a pilot, or a live production environment. Delivering Applications with VMware App Volumes 4 starts with an in-depth overview of where the solution fits within the market and its key features, introducing you to application layering and VMware App Volumes. Next, it explains how to install the software and use its management consoles to configure App Volumes. You will understand how to build and configure application layers for delivery and will learn to build and configure writeable volumes for user data and user-installed applications.
In the advanced management section, you will learn to customize package templates and integrate App Volumes with JMP. Along the way you will understand how to deliver published apps in MS RemoteApp using layered apps for scalability. In the next phase of the book you will install and configure App Volumes for different use cases: VMware Horizon View, VMware ThinApp, Microsoft RDSH, and Citrix Virtual Apps and Desktops.
Throughout the chapters, you will be given hints and tips, along with best practices, all seen from the eyes of somebody who works with this technology day in, day out, and in many different types of environments and scenarios.
What You Will Learn
Understand the App Volumes architecture Master the concept of application layeringWork with App Volumes, application packages, and Writable Volumes
Who This Book Is For
VMware professionals, system integrators, IT professionals, and consultants.
Discover how to create a simple game environment in Blender 3D, from modeling and texturing game assets, to placing them in a scene. You'll export and import game assets as well as look at open-source game engines that will work with your game assets. Creating Game Environments in Blender 3D introduces the power of Blender 3D when creating a low poly game environment.
The book starts by discussing the basics of game terminology, such as knowing the difference between low poly and high poly assets and the types of game you're likely to work on. You'll also take a brief look at Blender's background and installation. The following chapters talk about the process for creating a simple game environment. This is discussed in detail along with a sample project. These chapters discuss the common tools for starting a game environment and the methods for enhancing your game environment, such as color fundamentals. The final chapter shows how you can export the game assets you created in Blender, how you can import game assets in Blender, and how to evaluate the different game engines available.
This book shows you the exciting side of creating a game environment while showing the power of Blender. After reading it, you will feel confident about creating a game environment.
What You Will Learn
Use Blender to create low poly game environments Work with the common Blender tools for game environment design and development Discover how to use Blender features in depth Compare the Eevee and Cycles game engines Who This Book Is For
Game environment artists who want to use Blender 3D to create a game environment. Some previous exposure to game design and development would be helpful, but not required.
Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations.
Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data.
What You Will LearnDevelop conceptual models of client data using interviews and client documentationImplement designs that work on premises, in the cloud, or in a hybrid approachRecognize and apply common database design patternsNormalize data models to enhance integrity and scalability of your databases for the long-term use of valuable dataTranslate conceptual models into high-performing SQL Server databasesSecure and protect data integrity as part of meeting regulatory requirementsCreate effective indexing to speed query performanceUnderstand the concepts of concurrency
Who This Book Is For
Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019.
Discover the methods and techniques required for creating immersive design visualization for industry. This book proposes ways for industry-oriented design visualization from scratch. This includes fundamentals of creative and immersive technology; tools and techniques for architectural visualization; design visualization with Autodesk Maya; PBR integration; and texturing, material design, and integration into UE4 for immersive design visualization.
You'll to dive into design and visualization, from planning to execution. You will start with the basics, such as an introduction to design visualization as well as to the software you will be using. You will next learn to create assets such as virtual worlds and texturing, and integrate them with Unreal Engine 4. Finally, there is a capstone project for you to make your own immersive visualization scene.
By the end of the book you'll be able to create assets for use in industries such as game development, entertainment, architecture, design engineering, and digital education.
What You Will Learn
Gain the fundamentals of immersive design visualization Master design visualization with Autodesk Maya Study interactive visualization with UE4 Create your immersive design portfolio Who This Book Is For
Beginning-intermediate learners from the fields of animation, visual art, and computer graphics as well as design visualization, game technology, and virtual reality integration.
Know how locks work in MySQL and how they relate to transactions. This book explains the major role that locks play in database systems, showing how locks are essential in allowing high-concurrency workloads. You will learn about lock access levels and lock granularities from the user level as well as table locks to record and gap locks. Most importantly, the book covers troubleshooting techniques when locking becomes a pain point.
Several of the lock types in MySQL have a duration of a transaction. For this reason, it is important to understand how transactions work. This book covers the basics of transactions as well as transaction isolation levels and how they affect locking. The book is meant to be your go-to resource for solving locking contention and similar problems in high-performance MySQL database applications.
Detecting locking issues when they occur is the first key to resolving such issues. MySQL Concurrency provides techniques for detecting locking issues such as contention. The book shows how to analyze locks that are causing contention to see why those locks are in place. A collection of six comprehensive case studies combine locking and transactional theory with realistic lock conflicts. The case studies walk you through the symptoms to look for in order to identify which issue you are facing, the cause of the conflict, its analysis, solution, and how to prevent the issue in the future.
What You Will LearnUnderstand which lock types exist in MySQL and how they are usedChoose the best transaction isolation level for a given transactionDetect and analyze lock contention when it occursReduce locking issues in your applicationsResolve deadlocks between transactionsResolve InnoDB record-level locking issuesResolve issues from metadata and schema locks
Who This Book Is For
Database administrators and SQL developers who are familiar with MySQL and want to gain a better understanding of locking and transactions as well as how to work with them. While some experience with MySQL is required, no prior knowledge of locks and transactions is needed.
Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential tools that help in the development of algorithmic code to give you all you need to enhance your code.Programming Algorithms in Lisp shows real-world engineering considerations and constraints that influence the programs that use these algorithms. It includes practical use cases of the applications of the algorithms to a variety of real-world problems. What You Will LearnProgram algorithms using the Lisp programming languageWork with data structures, arrays, key-values, hash-tables, trees, graphs, and moreUse dynamic programming Program using stringsWork with approximations and compression Who This Book Is For Intermediate Lisp programmers wanting to do algorithms programming. A very experienced non-Lisp programmer may be able to benefit from this book as well.
Winning LEGO MINDSTORMS Programming is your ticket to successfully programming for fun and competition with LEGO MINDSTORMS and the NXT-G programming language commonly used in FIRST LEGO League events. The book is a companion title to author James Trobaugh's acclaimed book on physical robot design, Winning Design!. This new book focuses squarely on the programming side of working with MINDSTORMS. Together the two books put you on a rock-solid foundation for creating with LEGO MINDSTORMS, whether for fun at home or in competition with a team.
Winning LEGO MINDSTORMS Programming sets the stage by emphasizing the importance of up front planning, and thinking about the challenge to be met. Learn to evaluate possible solutions by sanity-testing their logic before you put the effort into actually writing the code. Then choose your best option and write the code applying the techniques in this book. Take advantage of language features such as MyBlocks to enhance reliability and create easy-to-debug code. Manage your code as you change and improve it so that you can trace what you've done and fall back if needed. Avoid common programming pitfalls. Work powerfully with teammates to conquer competition challenges of all types.
Provides solid techniques similar to those used by professional programmers, and optimized for the LEGO MINDSTORMS platform.
Addresses key tasks important to competition such as line detection, line following, squaring of corners, motor stall detection, and more.
Compliments Winning Design! by tackling the programming side of competition.