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Mastering Python: Write powerful and efficient code using the full range of Python's capabilities, 2nd Edition
by Rick van HattemUse advanced features of Python to write high-quality, readable code and packagesKey FeaturesExtensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive PythonShape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessingLearn how advanced Python features fit together to produce maintainable codeBook DescriptionEven if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challengesWhat you will learnWrite beautiful Pythonic code and avoid common Python coding mistakesApply the power of decorators, generators, coroutines, and metaclassesUse different testing systems like pytest, unittest, and doctestTrack and optimize application performance for both memory and CPU usageDebug your applications with PDB, Werkzeug, and faulthandlerImprove your performance through asyncio, multiprocessing, and distributed computingExplore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learnExtend Python's capabilities with C/C++ libraries and system callsWho this book is forThis book will benefit more experienced Python programmers who wish to upskill, serving as a reference for best practices and some of the more intricate Python techniques. Even if you have been using Python for years, chances are that you haven't yet encountered every topic discussed in this book. A good understanding of Python programming is necessary
Enterprise Application Development with C# 9 and .NET 5
by Ravindra AkellaIf you are a developer, architect, or senior programmer who wants to fully leverage the .NET Framework and C# language features and techniques to take your career to the next level, this book is for you. Basic to intermediate knowledge of .NET Framework or .NET Core and C# programming will help you to make the most out of this book.
Web Development with Blazor: A hands-on guide for .NET developers to build interactive UIs with C#
by Jimmy Engstrom Jeff FritzLearn modern web user interface (UI) development with server-side Blazor and Blazor WebAssemblyKey FeaturesGet up to speed with Blazor fundamentals, actionable insights, and best practices Learn how to create and deploy a production-ready Blazor application Find out how, when, and why to use server-side Blazor and Blazor WebAssemblyBook DescriptionUntil now, creating interactive web pages meant involving JavaScript. But with Blazor, Microsoft's new way to create .NET web applications, developers can easily build interactive and rich web applications using C#. Web Development with Blazor will guide you through the most common challenges in getting started with Blazor. You'll start by learning how to leverage the power of Blazor and learn what you can do with both Blazor Server and Blazor WebAssembly. By showing you how all the elements work together practically, the book will help you solve some of the common roadblocks that developers face. As you advance, you'll learn how to create Blazor Server and Blazor WebAssembly projects, how Razor syntax works, and how to validate forms and create your own components. Later, the book introduces you to key concepts involved in web development with Blazor, which you will be able to put into practice straight away. By the end of this Blazor book, you'll have gained the confidence you need to create and deploy production-ready Blazor applications.What you will learnUnderstand the different technologies that can be used with Blazor, such as Blazor Server and Blazor WebAssemblyFind out how to build simple and advanced Blazor componentsExplore the differences between Blazor Server and Blazor WebAssembly projectsDiscover how Entity Framework works and build a simple APIGet up to speed with components and find out how to create basic and advanced componentsExplore existing JavaScript libraries in BlazorUse techniques to debug your Blazor Server and Blazor WebAssembly applicationsTest Blazor components using bUnitWho this book is forThis web development book is for web developers and software developers who want to explore Blazor for building dynamic web UIs. This book assumes beginner-level knowledge of C# programming and intermediate-level web development skills.
Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition
by Jaime BueltaGet a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higher Key Features Automate integral business processes such as report generation, email marketing, and lead generation Explore automated code testing and Python's growth in data science and AI automation in three new chapters Understand techniques to extract information and generate appealing graphs, and reports with Matplotlib Book Description In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data. This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails. Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques. By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems. What you will learn Learn data wrangling with Python and Pandas for your data science and AI projects Automate tasks such as text classification, email filtering, and web scraping with Python Use Matplotlib to generate a variety of stunning graphs, charts, and maps Automate a range of report generation tasks, from sending SMS and email campaigns to creating templates, adding images in Word, and even encrypting PDFs Master web scraping and web crawling of popular file formats and directories with tools like Beautiful Soup Build cool projects such as a Telegram bot for your marketing campaign, a reader from a news RSS feed, and a machine learning model to classify emails to the correct department based on their content Create fire-and-forget automation tasks by writing cron jobs, log files, and regexes with Python scripting Who this book is for Python Automation Cookbook - Second Edition is for developers, data enthusiasts or anyone who wants to automate monotonous manual tasks related to business processes such as finance, sales, and HR, among others. Working knowledge of Python is all you need to get started with this book.
Kubernetes in Production Best Practices: Build and manage highly available production-ready Kubernetes clusters
by Murat Karslioglu Aly SalehDesign, build, and operate scalable and reliable Kubernetes infrastructure for productionKey FeaturesImplement industry best practices to build and manage production-grade Kubernetes infrastructureLearn how to architect scalable Kubernetes clusters, harden container security, and fine-tune resource managementUnderstand, manage, and operate complex business workloads confidentlyBook DescriptionAlthough out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production.You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you'll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure.By the end of this book, you'll be able to leverage Kubernetes to operate and manage your production environments confidently.What you will learnExplore different infrastructure architectures for Kubernetes deploymentImplement optimal open source and commercial storage management solutionsApply best practices for provisioning and configuring Kubernetes clusters, including infrastructure as code (IaC) and configuration as code (CAC)Configure the cluster networking plugin and core networking components to get the best out of themSecure your Kubernetes environment using the latest tools and best practicesDeploy core observability stacks, such as monitoring and logging, to fine-tune your infrastructureWho this book is forThis book is for cloud infrastructure experts, DevOps engineers, site reliability engineers, and engineering managers looking to design and operate Kubernetes infrastructure for production. Basic knowledge of Kubernetes, Terraform, Ansible, Linux, and AWS is needed to get the most out of this book.
The Art of Writing Efficient Programs: An advanced programmer's guide to efficient hardware utilization and compiler optimizations using C++ examples
by Fedor G. PikusBecome a better programmer with performance improvement techniques such as concurrency, lock-free programming, atomic operations, parallelism, and memory managementKey FeaturesLearn proven techniques from a heavyweight and recognized expert in C++ and high-performance computingUnderstand the limitations of modern CPUs and their performance impactFind out how you can avoid writing inefficient code and get the best optimizations from the compilerLearn the tradeoffs and costs of writing high-performance programsBook DescriptionThe great free lunch of "performance taking care of itself" is over. Until recently, programs got faster by themselves as CPUs were upgraded, but that doesn't happen anymore. The clock frequency of new processors has almost peaked, and while new architectures provide small improvements to existing programs, this only helps slightly. To write efficient software, you now have to know how to program by making good use of the available computing resources, and this book will teach you how to do that. The Art of Efficient Programming covers all the major aspects of writing efficient programs, such as using CPU resources and memory efficiently, avoiding unnecessary computations, measuring performance, and how to put concurrency and multithreading to good use. You'll also learn about compiler optimizations and how to use the programming language (C++) more efficiently. Finally, you'll understand how design decisions impact performance. By the end of this book, you'll not only have enough knowledge of processors and compilers to write efficient programs, but you'll also be able to understand which techniques to use and what to measure while improving performance. At its core, this book is about learning how to learn.What you will learnDiscover how to use the hardware computing resources in your programs effectivelyUnderstand the relationship between memory order and memory barriersFamiliarize yourself with the performance implications of different data structures and organizationsAssess the performance impact of concurrent memory accessed and how to minimize itDiscover when to use and when not to use lock-free programming techniquesExplore different ways to improve the effectiveness of compiler optimizationsDesign APIs for concurrent data structures and high-performance data structures to avoid inefficienciesWho this book is forThis book is for experienced developers and programmers who work on performance-critical projects and want to learn new techniques to improve the performance of their code. Programmers in algorithmic trading, gaming, bioinformatics, computational genomics, or computational fluid dynamics communities will get the most out of the examples in this book, but the techniques are fairly universal. Although this book uses the C++ language, the concepts demonstrated in the book can be easily transferred or applied to other compiled languages such as C, Java, Rust, Go, and more.
Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
by Denis RothmanThis book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include: • Professionals who already use Python for as data science, machine learning, research, and analysis • Data analysts and data scientists who want an introduction into explainable AI tools and techniques • AI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications
ETL with Azure Cookbook
by Christian Cote Matija LahThis book is for data warehouse architects, ETL developers, and anyone who wants to build scalable ETL applications in Azure. It is also relevant for those looking to extend their existing on-premises ETL applications to use big data and a variety of Azure services. If you want to migrate your existing on-premises solutions to the Azure cloud platform, you’ll find this book useful. Familiarity with SQL Server services is necessary.
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
by Blaine Bateman Saikat Basak Thomas V. Joseph William SoLearn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey FeaturesLearn how to apply data retrieval, transformation, visualization, and modeling techniques using pandasBecome highly efficient in unlocking deeper insights from your data, including databases, web data, and moreBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionThe Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects.You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services.By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.What you will learnAccess and load data from different sources using pandasWork with a range of data types and structures to understand your dataPerform data transformation to prepare it for analysisUse Matplotlib for data visualization to create a variety of plotsCreate data models to find relationships and test hypothesesManipulate time-series data to perform date-time calculationsOptimize your code to ensure more efficient business data analysisWho this book is forThis data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.
Elevating React Web Development with Gatsby: Practical guide to building performant, accessible, and interactive web apps with React and Gatsby.js 4
by Samuel Larsen-DisneyLearn how to create SEO-friendly, powerful static websites using Gatsby by harnessing the power of ReactKey FeaturesUnderstand how to use Gatsby to build, test, and deploy an end-to-end website and manage SEOBuild reusable templates to streamline your workflowsCreate plugins, add authentication, and work with real-time dataBook DescriptionGatsby is a powerful React static site generator that enables you to create lightning-fast web experiences. With the latest version of Gatsby, you can combine your static content with server-side rendered and deferred static content to create a fully rounded application. Elevating React Web Development with Gatsby provides a comprehensive introduction for anyone new to GatsbyJS and will help you get up to speed in no time.Complete with hands-on tutorials and projects, this easy-to-follow guide starts by teaching you the core concepts of GatsbyJS. You'll then discover how to build performant, accessible, and scalable websites with the GatsbyJS framework. Once you've worked through the practical projects in the book, you'll be able to build anything from a personal website to large-scale applications with authentication and make your site rise through those SEO rankings.By the end of this Gatsby development book, you'll be well-versed in every aspect of the tool's performance and accessibility and have learned how to build client websites that your users will love.What you will learnUnderstand what GatsbyJS is, where it excels, and how to use itStructure and build a GatsbyJS site with confidenceElevate your site with an industry-standard approach to stylingConfigure your GatsbyJS projects with search engine optimization to improve their rankingGet to grips with advanced GatsbyJS concepts to create powerful and dynamic sitesSupercharge your site with translations for a global audienceDiscover how to use third-party services that provide interactivity to usersWho this book is forThis book is for web developers who want to use GatsbyJS with React to build better static and dynamic client-side apps. Prior experience of working with React basics is necessary. Knowledge of Node.js fundamentals will help you to get the most out of this web development book.
Odoo 15 Development Essentials: Enhance your Odoo development skills to create powerful business applications, 5th Edition
by Daniel Reis Greg MaderBecome a proficient Odoo developer and increase your productivity while building Odoo business applicationsKey FeaturesSet up the Odoo development environment and learn how to test and debug your codeUse the ORM framework to work with data and implement business logic supporting business rulesDesign user interfaces, web pages, and business reports using the Odoo framework's web componentsBook DescriptionOdoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics.The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications.By the end of this book, you'll be able to build business apps from scratch using the latest version of Odoo.What you will learnInstall Odoo from source and organize the development environmentCreate your first Odoo app from scratchUnderstand the application components available in OdooStructure the application's data model using ORM featuresUse the ORM API to implement the business logic layerDesign a graphical user interface (GUI) for the web client and websiteUse the Odoo External API to interface with external systemsDeploy and maintain your application in production environmentsWho this book is forThis book is for developers who want to learn Odoo application development and quickly become productive while creating business applications. Teachers, trainers, and Odoo team managers will also find the book useful for helping their students or trainees to learn Odoo development skills. Basic knowledge of Python programming is required to get started with the book
Metabase Up and Running: Introduce Business Intelligence And Analytics To Your Company And Make Better Business Decisions
by Tim AbrahamThis book is for business analysts, data analysts, data scientists, and other professionals who want to become well-versed with business intelligence and analytics using Metabase. This book will also appeal to anyone who wants to understand their data and extract meaningful insights from scratch using practical examples. A basic understanding of data handling and processing will be beneficial before you get started with this book.
Azure Serverless Computing Cookbook: Build and monitor Azure applications hosted on serverless architecture using Azure functions, 3rd Edition
by Praveen Kumar SreeramDiscover recipes for implementing solutions to real-world business problems through serverless applications Key Features Test, troubleshoot, and monitor Azure functions to deliver high-quality and reliable cloud-centric applications Understand Visual Studio's integrated developer experience for Azure functions Explore best practices for organizing and refactoring code within the Azure functions Book Description This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications. With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a "hello world" example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in. By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently. What you will learn Implement continuous integration and continuous deployment (CI/CD) of Azure functions Develop different event-based handlers in a serverless architecture Integrate Azure functions with different Azure services to develop enterprise-level applications Accelerate your cloud application development using Azure function triggers and bindings Automate mundane tasks at various levels, from development to deployment and maintenance Develop stateful serverless applications and self-healing jobs using durable functions Who this book is for If you are a cloud developer or architect who wants to build cloud-native systems and deploy serverless applications with Azure functions, this book is for you. Prior experience with Microsoft Azure core services will help you to make the most out of this book.
Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs
by Soheil Bakhshi Christian WadeManage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BIKey FeaturesUnderstand data modeling techniques to get the best out of data using Power BIDefine the relationships between data to extract valuable insightsSolve a wide variety of business challenges by building optimal data modelsBook DescriptionMicrosoft Power BI is one of the most popular business intelligence tools available on the market for desktop and the cloud. This book will be your guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.What you will learnImplement virtual tables and time intelligence functionalities in DAX to build a powerful modelIdentify Dimension and Fact tables and implement them in Power Query EditorDeal with advanced data preparation scenarios while building Star SchemaExplore best practices for data preparation and data modelingDiscover different hierarchies and their common pitfallsUnderstand complex data models and how to decrease the level of model complexity with different data modeling approachesWho this book is forThis MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. Basic knowledge of Power BI and Star Schema will help you to understand the concepts covered in this book.
Game Development Projects with Unreal Engine: Learn to build your first games and bring your ideas to life using UE4 and C++
by Devin Sherry David Pereira Hammad Fozi Goncalo MarquesLearn the tools and techniques of game design using a project-based approach with Unreal Engine 4 and C++Key FeaturesKickstart your career or dive into a new hobby by exploring game design with UE4 and C++Learn the techniques needed to prototype and develop your own ideasReinforce your skills with project-based learning by building a series of games from scratchBook DescriptionGame development can be both a creatively fulfilling hobby and a full-time career path. It's also an exciting way to improve your C++ skills and apply them in engaging and challenging projects.Game Development Projects with Unreal Engine starts with the basic skills you'll need to get started as a game developer. The fundamentals of game design will be explained clearly and demonstrated practically with realistic exercises. You'll then apply what you've learned with challenging activities.The book starts with an introduction to the Unreal Editor and key concepts such as actors, blueprints, animations, inheritance, and player input. You'll then move on to the first of three projects: building a dodgeball game. In this project, you'll explore line traces, collisions, projectiles, user interface, and sound effects, combining these concepts to showcase your new skills.You'll then move on to the second project; a side-scroller game, where you'll implement concepts including animation blending, enemy AI, spawning objects, and collectibles. The final project is an FPS game, where you will cover the key concepts behind creating a multiplayer environment.By the end of this Unreal Engine 4 game development book, you'll have the confidence and knowledge to get started on your own creative UE4 projects and bring your ideas to life.What you will learnCreate a fully-functional third-person character and enemiesBuild navigation with keyboard, mouse, gamepad, and touch controlsProgram logic and game mechanics with collision and particle effectsExplore AI for games with Blackboards and Behavior TreesBuild character animations with Animation Blueprints and MontagesTest your game for mobile devices using mobile previewAdd polish to your game with visual and sound effectsMaster the fundamentals of game UI design using a heads-up displayWho this book is forThis book is suitable for anyone who wants to get started using UE4 for game development. It will also be useful for anyone who has used Unreal Engine before and wants to consolidate, improve and apply their skills. To grasp the concepts explained in this book better, you must have prior knowledge of the basics of C++ and understand variables, functions, classes, polymorphism, and pointers. For full compatibility with the IDE used in this book, a Windows system is recommended.
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists
by Julien Simon Francesco PochettiQuickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key Features Build, train, and deploy machine learning models quickly using Amazon SageMaker Analyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniques Improve productivity by training and fine-tuning machine learning models in production Book Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You'll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you'll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You'll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you'll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learn Create and automate end-to-end machine learning workflows on Amazon Web Services (AWS) Become well-versed with data annotation and preparation techniques Use AutoML features to build and train machine learning models with AutoPilot Create models using built-in algorithms and frameworks and your own code Train computer vision and NLP models using real-world examples Cover training techniques for scaling, model optimization, model debugging, and cost optimization Automate deployment tasks in a variety of configurations using SDK and several automation tools Who this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.
Learning Tableau 2020: Create effective data visualizations, build interactive visual analytics, and transform your organization, 4th Edition
by Joshua N. MilliganGain a solid foundation to learn Tableau, and develop the skills and abilities required for an advanced mastery of the tool. Whether you're new to Tableau or have been using it years, you will benefit from this book. Key Features Explore the latest Tableau 2020 features and redefine business analytics for your firm Understand visualizing data and creating interactive dashboards to gain meaningful insights Learn implementing effective data storytelling to redefine how your business leverages data and makes decisions Book Description Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics. The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data. This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep's ability to clean and structure data and share the stories contained in your data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making. What you will learn Develop stunning visualizations to explain complex data with clarity Explore exciting new Data Model capabilities Connect to various data sources to bring all your data together Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuring Create and use calculations to solve problems and enrich the analytics Master advanced topics such as sets, LOD calculations, and much more Enable smart decisions with data clustering, distribution, and forecasting Share your data stories to build a culture of trust and action Who this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book will simplify Tableau for beginners to build on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Having a bit of background with data will help, but you don't need to know scripting, SQL or database structures.
The Applied Artificial Intelligence Workshop: Start working with AI today, to build games, design decision trees, and train your own machine learning models
by Zsolt Nagy Anthony So William SoWith knowledge and information shared by experts, take your first steps towards creating scalable AI algorithms and solutions in Python, through practical exercises and engaging activities Key Features Learn about AI and ML algorithms from the perspective of a seasoned data scientist Get practical experience in ML algorithms, such as regression, tree algorithms, clustering, and more Design neural networks that emulate the human brain Book Description You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career? The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career. The book begins by teaching you how to predict outcomes using regression. You'll then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you'll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you'll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs). By the end of this applied AI book, you'll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models. What you will learn Create your first AI game in Python with the minmax algorithm Implement regression techniques to simplify real-world data Experiment with classification techniques to label real-world data Perform predictive analysis in Python using decision trees and random forests Use clustering algorithms to group data without manual support Learn how to use neural networks to process and classify labeled images Who this book is for The Applied Artificial Intelligence Workshop is designed for software developers and data scientists who want to enrich their projects with machine learning. Although you do not need any prior experience in AI, it is recommended that you have knowledge of high school-level mathematics and at least one programming language, preferably Python. Although this is a beginner's book, experienced students and programmers can improve their Python skills by implementing the practical applications given in this book.
UI Testing with Puppeteer: Implement end-to-end testing and browser automation using JavaScript and Node.js
by Dario KondratiukWrite fail-safe automation tests, device emulation, and browser automation using Puppeteer's Google-powered APIKey FeaturesGet up and running with Puppeteer and discover best practices for automation testingAutomate your modern web applications using Jest and Mocha with PuppeteerGenerate screenshots using Puppeteer and find out how they can be used for UI regression testsBook DescriptionPuppeteer is an open source web automation library created by Google to perform tasks such as end-to-end testing, performance monitoring, and task automation with ease. Using real-world use cases, this book will take you on a pragmatic journey, helping you to learn Puppeteer and implement best practices to take your automation code to the next level! Starting with an introduction to headless browsers, this book will take you through the foundations of browser automation, showing you how far you can get using Puppeteer to automate Google Chrome and Mozilla Firefox. You'll then learn the basics of end-to-end testing and understand how to create reliable tests. You'll also get to grips with finding elements using CSS selectors and XPath expressions. As you progress through the chapters, the focus shifts to more advanced browser automation topics such as executing JavaScript code inside the browser. You'll learn various use cases of Puppeteer, such as mobile devices or network speed testing, gauging your site's performance, and using Puppeteer as a web scraping tool. By the end of this UI testing book, you'll have learned how to make the most of Puppeteer's API and be able to apply it in your real-world projects.What you will learnUnderstand browser automation fundamentalsExplore end-to-end testing with Puppeteer and its best practicesApply CSS Selectors and XPath expressions to web automationDiscover how you can leverage the power of web automation as a developerEmulate different use cases of Puppeteer such as network speed tests and geolocationGet to grips with techniques and best practices for web scraping and web content generationWho this book is forThe book is for testing professionals, QA engineers, and test automation enthusiasts who want to perform end-to-end testing using Google's developer tools. Web developers who want to learn how to use Puppeteer for generating content, scraping websites, and evaluating website performance will find this book useful. Although knowledge of Node.js isn't necessary, basic JavaScript knowledge will assist with understanding the concepts covered.
Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition
by Yuxi (Hayden) LiuA comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook DescriptionPython Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naive Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is forIf you're a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you.Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
The Applied TensorFlow and Keras Workshop: Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
by Luis Capelo Harveen Singh ChadhaCut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras. Key Features Understand the nuances of setting up a deep learning programming environment Gain insights into the common components of a neural network and its essential operations Get to grips with deploying a machine learning model as an interactive web application with Flask Book Description Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy. As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools. The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization. By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects. What you will learn Familiarize yourself with the components of a neural network Understand the different types of problems that can be solved using neural networks Explore different ways to select the right architecture for your model Make predictions with a trained model using TensorBoard Discover the components of Keras and ways to leverage its features in your model Explore how you can deal with new data by learning ways to retrain your model Who this book is for If you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in analyzing data will help you to understand the topics explained in this book with ease.
Mastering Apex Programming: A developer's guide to learning advanced techniques and best practices for building robust Salesforce applications
by Paul BattissonThis book is for Salesforce developers who are interested in mastering Apex programming skills. You’ll also find this book helpful if you’re an experienced Java or C# developer looking to switch to Apex programming for developing apps on the Salesforce platform. Basic Apex programming knowledge will assist with understanding the concepts covered.
Learning C# by Developing Games with Unity 2020 - Fifth Edition: An Enjoyable And Intuitive Approach To Getting Started With C# Programming And Unity
by Harrison FerroneIf you’re a developer, programmer, or anyone who wants to get started with C# programming in a fun and engaging manner, this book is for you. It’ll show you how to use the C# language and Unity to create games and scripts. Prior experience in programming or Unity is not required.
Linux Command Line and Shell Scripting Techniques: Master practical aspects of the Linux command line and then use it as a part of the shell scripting process
by Vedran Dakic Jasmin RedzepagicPractical and actionable recipes for using shell and command-line scripting on your Linux OS with confidenceKey FeaturesLearn how to use the command line and write and debug Linux Shell scriptsAutomate complex repetitive tasks and backups, and learn networking and securityA practical approach to system administration, and virtual machine and software managementBook DescriptionLinux Command Line and Shell Scripting Techniques begins by taking you through the basics of the shell and command-line utilities. You'll start by exploring shell commands for file, directory, service, package, and process management. Next, you'll learn about networking - network, firewall and DNS client configuration, ssh, scp, rsync, and vsftpd, as well as some network troubleshooting tools.You'll also focus on using the command line to find and manipulate text content, via commands such as cut, egrep, and sed. As you progress, you'll learn how to use shell scripting. You'll understand the basics - input and output, along with various programming concepts such as loops, variables, arguments, functions, and arrays. Later, you'll learn about shell script interaction and troubleshooting, before covering a wide range of examples of complete shell scripts, varying from network and firewall configuration, through to backup and concepts for creating live environments. This includes examples of performing scripted virtual machine installation and administration, LAMP (Linux, Apache, MySQL, PHP) stack provisioning and bulk user creation for testing environments. By the end of this Linux book, you'll have gained the knowledge and confidence you need to use shell and command-line scripts.What you will learnGet an introduction to the command line, text editors, and shell scriptingFocus on regular expressions, file handling, and automating complex tasksAutomate common administrative tasksBecome well-versed with networking and system security scriptingGet to grips with repository management and network-based file synchronizationUse loops, arguments, functions, and arrays for task automationWho this book is forThis book is for anyone looking to learn about Linux administration via CLI and scripting. Those with no Linux command-line interface (CLI) experience will benefit from it by learning from scratch. More experienced Linux administrators or engineers will also find this book useful, as it will help them organize their knowledge, fill in any gaps, and work efficiently with shell scripts to increase productivity.
Linux for Networking Professionals: Securely configure and operate Linux network services for the enterprise
by Rob VandenBrinkGet to grips with the most common as well as complex Linux networking configurations, tools, and services to enhance your professional skillsKey FeaturesLearn how to solve critical networking problems using real-world examplesConfigure common networking services step by step in an enterprise environmentDiscover how to build infrastructure with an eye toward defense against common attacksBook DescriptionAs Linux continues to gain prominence, there has been a rise in network services being deployed on Linux for cost and flexibility reasons. If you are a networking professional or an infrastructure engineer involved with networks, extensive knowledge of Linux networking is a must.This book will guide you in building a strong foundation of Linux networking concepts. The book begins by covering various major distributions, how to pick the right distro, and basic Linux network configurations. You'll then move on to Linux network diagnostics, setting up a Linux firewall, and using Linux as a host for network services. You'll discover a wide range of network services, why they're important, and how to configure them in an enterprise environment. Finally, as you work with the example builds in this Linux book, you'll learn to configure various services to defend against common attacks. As you advance to the final chapters, you'll be well on your way towards building the underpinnings for an all-Linux datacenter.By the end of this book, you'll be able to not only configure common Linux network services confidently, but also use tried-and-tested methodologies for future Linux installations.What you will learnUse Linux as a troubleshooting and diagnostics platformExplore Linux-based network servicesConfigure a Linux firewall and set it up for network servicesDeploy and configure Domain Name System (DNS) and Dynamic Host Configuration Protocol (DHCP) services securelyConfigure Linux for load balancing, authentication, and authorization servicesUse Linux as a logging platform for network monitoringDeploy and configure Intrusion Prevention Services (IPS)Set up Honeypot solutions to detect and foil attacksWho this book is forThis book is for IT and Windows professionals and admins looking for guidance in managing Linux-based networks. Basic knowledge of networking is necessary to get started with this book.