- Table View
- List View
Learn LLVM 17: A beginner's guide to learning LLVM compiler tools and core libraries with C++
by Kai Nacke Amy KwanLearn how to build and use the complete spectrum of real-world compilers, including the frontend, optimization pipeline, and a new backend by leveraging the power of LLVM core librariesKey FeaturesGet to grips with using LLVM libraries step by stepUnderstand the high-level design of LLVM compilers and apply these principles to your own compilerAdd a new backend to target an unsupported CPU architecturePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionLLVM was built to bridge the gap between the theoretical knowledge found in compiler textbooks and the practical demands of compiler development. With a modular codebase and advanced tools, LLVM empowers developers to build compilers with ease. This book serves as a practical introduction to LLVM, guiding you progressively through complex scenarios and ensuring that you navigate the challenges of building and working with compilers like a pro. The book starts by showing you how to configure, build, and install LLVM libraries, tools, and external projects. You’ll then be introduced to LLVM's design, unraveling its applications in each compiler stage: frontend, optimizer, and backend. Using a real programming language subset, you'll build a frontend, generate LLVM IR, optimize it through the pipeline, and generate machine code. Advanced chapters extend your expertise, covering topics such as extending LLVM with a new pass, using LLVM tools for debugging, and enhancing the quality of your code. You'll also focus on just-in-time compilation issues and the current state of JIT-compilation support with LLVM. Finally, you’ll develop a new backend for LLVM, gaining insights into target description and how instruction selection works. By the end of this book, you'll have hands-on experience with the LLVM compiler development framework through real-world examples and source code snippets.What you will learnConfigure, compile, and install the LLVM frameworkUnderstand how the LLVM source is organizedDiscover what you need to do to use LLVM in your own projectsExplore how a compiler is structured, and implement a tiny compilerGenerate LLVM IR for common source language constructsSet up an optimization pipeline and tailor it for your own needsExtend LLVM with transformation passes and clang toolingAdd new machine instructions and a complete backendWho this book is forThis book is for compiler developers, enthusiasts, and engineers new to LLVM. C++ software engineers looking to use compiler-based tools for code analysis and improvement, as well as casual users of LLVM libraries who want to gain more knowledge of LLVM essentials will also find this book useful. Intermediate-level experience with C++ programming is necessary to understand the concepts covered in this book.
Mastering Adobe Photoshop 2024: Discover the smart way to polish your digital imagery skills by editing professional looking photos
by Gary BradleyUnleash your digital creativity by mastering complex editing tools and features to work smarter and faster for high-end resultsKey FeaturesCreate, manage, and deliver captivating visuals for print, screen, and the web using proven industry techniquesManage your digital projects with granular control and confidenceBecome an expert and eliminate last-minute Google searches to overcome challengesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock the full potential of Photoshop, the go-to app for content creators by mastering its complex tools and features. This book quickly builds on your existing Photoshop knowledge with proven industry techniques, serving as a launchpad to develop professional skills and transformative personal growth. You’ll start by fine-tuning color and tone in your images with non-destructive adjustment layers and conceal content like backdrops with precise masking techniques for fine details like hair. Working through a series of real-world editing projects, crafting realistic brand mockups and traditional marketing collateral, you’ll learn robust methods for building social media assets in Photoshop, from images to animated GIFs and videos. You’ll also be able to bring your typography to life with styles and effects that are simple to edit and store as preset effects. The final section of the book encapsulates all of your learning to create complex montages using advanced masking and compositing techniques. You’ll have fun elevating your designs with surreal art styles and conceptual imagery using retouching, blending, and liquify filters. By the end of this Adobe Photoshop book, you’ll soar to new heights with your designs, creating captivating visuals that leave a lasting impression on your audience.What you will learnDiscover new ways of working with familiar tools, enhancing your existing knowledge of PhotoshopMaster time-saving retouching techniques, ensuring flexibility for repeated edits without compromising on qualityCreate precise image cut-outs and seamless montages with advanced masking toolsMake Photoshop your go-to application for social media contentAutomate repetitive tasks with actions and scripts that batch-process hundreds of images in secondsIntegrate vector assets, type styles, and brand colors from other CC applicationsWho this book is forThis book is for designers, marketers, and online content creators who work with digital imagery regularly. If you use Photoshop to create projects for print, screen, or social, this book will help you take your skills to the next level.
Modern DevOps Practices: Implement, secure, and manage applications on the public cloud by leveraging cutting-edge tools
by Gaurav AgarwalEnhance DevOps workflows by integrating the functionalities of Git, Docker, Kubernetes, Argo CD, Ansible, Terraform, Istio, and more with the help of practical examples and expert tipsKey FeaturesExplore containers as a service (CaaS) and infrastructure automation in the public cloudSecure and ship software continuously to production with DevOps, GitOps, SecOps, and automationOperate distributed and scalable microservices apps in the cloud with a modern service meshPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey. The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more. By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.What you will learnExplore modern DevOps practices with Git and GitOpsMaster container fundamentals with Docker and KubernetesBecome well versed in AWS ECS, Google Cloud Run, and KnativeDiscover how to efficiently build and manage secure Docker imagesUnderstand continuous integration with Jenkins on Kubernetes and GitHub ActionsGet to grips with using Argo CD for continuous deployment and deliveryManage immutable infrastructure on the cloud with Packer, Terraform, and AnsibleOperate container applications in production using Istio and learn about AI in DevOpsWho this book is forIf you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book helpful as it covers best practices, tips, and tricks for implementing DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of this book.
Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack
by Rob Chapman Peter HolmesImplement the LGTM stack for cost-effective, faster, and secure delivery and management of applications to provide effective infrastructure solutionsKey FeaturesUse personas to better understand the needs and challenges of observability tools usersGet hands-on practice with Grafana and the LGTM stack through real-world examplesImplement and integrate LGTM with AWS, Azure, GCP, Kubernetes and tools such as OpenTelemetry, Ansible, Terraform, and HelmPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTo overcome application monitoring and observability challenges, Grafana Labs offers a modern, highly scalable, cost-effective Loki, Grafana, Tempo, and Mimir (LGTM) stack along with Prometheus for the collection, visualization, and storage of telemetry data. Beginning with an overview of observability concepts, this book teaches you how to instrument code and monitor systems in practice using standard protocols and Grafana libraries. As you progress, you’ll create a free Grafana cloud instance and deploy a demo application to a Kubernetes cluster to delve into the implementation of the LGTM stack. You’ll learn how to connect Grafana Cloud to AWS, GCP, and Azure to collect infrastructure data, build interactive dashboards, make use of service level indicators and objectives to produce great alerts, and leverage the AI & ML capabilities to keep your systems healthy. You’ll also explore real user monitoring with Faro and performance monitoring with Pyroscope and k6. Advanced concepts like architecting a Grafana installation, using automation and infrastructure as code tools for DevOps processes, troubleshooting strategies, and best practices to avoid common pitfalls will also be covered. After reading this book, you’ll be able to use the Grafana stack to deliver amazing operational results for the systems your organization uses.What you will learnUnderstand fundamentals of observability, logs, metrics, and distributed tracesFind out how to instrument an application using Grafana and OpenTelemetryCollect data and monitor cloud, Linux, and Kubernetes platformsBuild queries and visualizations using LogQL, PromQL, and TraceQLManage incidents and alerts using AI-powered incident managementDeploy and monitor CI/CD pipelines to automatically validate the desired resultsTake control of observability costs with powerful in-built featuresArchitect and manage an observability platform using GrafanaWho this book is forIf you’re an application developer, a DevOps engineer, a SRE, platform engineer, or a cloud engineer concerned with Day 2+ systems operations, then this book is for you. Product owners and technical leaders wanting to gain visibility of their products in a standardized, easy to implement way will also benefit from this book. A basic understanding of computer systems, cloud computing, cloud platforms, DevOps processes, Docker or Podman, Kubernetes, cloud native, and similar concepts will be useful.
Unlocking the Secrets of Prompt Engineering: Master the art of creative language generation to accelerate your journey from novice to pro
by Gilbert MizrahiEnhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applicationsKey FeaturesMaster prompt engineering techniques to harness AI's writing potentialDiscover diverse LLM applications for content creation and beyondLearn through practical examples, use cases, and hands-on guidancePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance. Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results. By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.What you will learnExplore the different types of prompts, their strengths, and weaknessesUnderstand the AI agent's knowledge and mental modelEnhance your creative writing with AI insights for fiction and poetryDevelop advanced skills in AI chatbot creation and deploymentDiscover how AI will transform industries such as education, legal, and othersIntegrate LLMs with various tools to boost productivityUnderstand AI ethics and best practices, and navigate limitations effectivelyExperiment and optimize AI techniques for best resultsWho this book is forThis book is for a wide audience, including writers, marketing and business professionals, researchers, students, tech enthusiasts, and creative individuals. Anyone looking for strategies and examples for using AI co-writing tools like ChatGPT effectively in domains such as content creation, drafting emails, and inspiring artistic works, will find this book especially useful. If you are interested in AI, NLP, and innovative software for personal or professional use, this is the book for you.
CompTIA Security+ SY0-701 Certification Guide: Master cybersecurity fundamentals and pass the SY0-701 exam on your first attempt
by Ian NeilGet a solid understanding of cybersecurity principles and develop hands-on skills to pave the way for a successful and impactful career in the fieldKey FeaturesGain certified cybersecurity knowledge from Ian Neil, a world-class CompTIA certification trainerExplore up-to-date content meticulously aligned with 701 exam objectivesUnlock exclusive exam discount voucher inside the bookPurchase of this book unlocks access to web-based exam prep resource such as mock examBook DescriptionBuilding on the success of its bestselling predecessor, this third edition of the CompTIA Security+ SY0-701 Certification Guide serves as your one-stop resource for the SY0-701 exam preparation. Written by cybersecurity expert Ian Neil, this comprehensive guide helps you unlock the intricacies of cybersecurity and understand the technology behind the SY0-701 certification, ensuring you approach the exam with confidence. Delving deep into cybersecurity, this book introduces essential principles, controls, and best practices. The chapters are carefully structured to align with the exam objectives of the 701 update, bringing to you the most recent and relevant exam study material. By mastering cybersecurity fundamentals, you’ll acquire the knowledge and skills to identify and mitigate threats, manage vulnerabilities, and safeguard enterprise infrastructure. You’ll be well-equipped to apply the principles of security governance and compliance, conduct risk assessments, and excel in audit and assessment tasks. The book also contains mock tests to help reinforce your learning and assess your exam-readiness. Whether you aim to excel the CompTIA Security+ SY0-701 exam, advance your career in cybersecurity, or enhance your existing knowledge, this book will transform you into a cybersecurity expert.What you will learnDifferentiate between various security control typesApply mitigation techniques for enterprise securityEvaluate security implications of architecture modelsProtect data by leveraging strategies and conceptsImplement resilience and recovery in securityAutomate and orchestrate for running secure operationsExecute processes for third-party risk assessment and managementConduct various audits and assessments with specific purposesWho this book is forWhether you have an IT background or not, if you aspire to pass the CompTIA Security+ SY0-701 exam or pursue a career in certified security, this book is your perfect resource. It is also a valuable companion for US government and US Department of Defense personnel looking to achieve cybersecurity certification. It serves as an excellent reference guide for college students pursuing a degree in cybersecurity.
Extending Dynamics 365 Finance and Operations Apps with Power Platform: Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects
by Adrià Ariste SantacreuUnlock the potential of Dynamics 365 Finance and Operations apps by creating innovative solutions that can enhance the performance of your projectsKey FeaturesLearn how to leverage Power Platform tools with Dynamics 365 Finance & OperationsWork on real-world use cases and discover ways to maximize the potential of Power PlatformAdopt a low-code approach to expedite the development process and enhance the overall maintainability of F&O projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUncover the synergy between Microsoft Power Platform and its integration with Dynamics 365 Finance & Operations (F&O) with this essential guide to implementing low-code and no-code concepts to not only extend and enhance F&O but also improve maintainability and speed up development. Systematically exploring Power Platform, this book covers topics such as Dataverse, Power Automate, Power Apps, and Power BI using real-world scenarios in Dynamics 365 F&O to offer practical insights. You’ll then master the integration of F&O and Power Platform using dual-write and virtual tables, and delve into process automation with Power Automate. The book further deepens your proficiency in Power Apps by showing you how they can be used to extend the F&O functionality and incorporate artificial intelligence using AI Builder and its pre-trained AI models ready to use with your data. Throughout, you’ll gain a solid understanding of the diverse components of Power Platform and how they can transform your Dynamics 365 F&O experience. By the end of this book, you’ll be equipped with the skills and knowledge necessary to fully harness the immense potential of Power Platform and Dynamics 365 F&O.What you will learnGet to grips with integrating Dynamics 365 F&O with DataverseDiscover the benefits of using Power Automate with Dynamics 365 F&OUnderstand Power Apps as a means to extend the functionality of Dynamics 365 F&OBuild your skills to implement Azure Data Lake Storage for Power BI reportingExplore AI Builder and its integration with Power Automate Flows and Power AppsGain insights into environment management, governance, and application lifecycle management (ALM) for Dataverse and the Power PlatformWho this book is forThis book is for Dynamics 365 Finance and Operations consultants, as well as Power Platform consultants eager to harness the diverse tools from Power Platform in their F&O projects. If you are a technical or solutions architect, you’ll find this book useful for acquainting yourself with techniques for addressing business requirements using the Power Platform tools.
Hands-on ESP32 with Arduino IDE: Unleash the power of IoT with ESP32 and build exciting projects with this practical guide
by Asim ZulfiqarBuild a strong foundation in IoT development and take your skills to the next level by mastering ESP32 and Arduino IDE 2.0, learning IoT protocols, and automating your projectsKey FeaturesLearn how to Interface ESP32 with various components for IoT projectsUnderstand IoT protocols and automation theories with practical examplesImplement automation and IoT knowledge in ESP32 projects for real-world applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionESP32 is a versatile microcontroller and a great starting point for anyone venturing into the IoT realm, but its configuration and interfacing of sensors can be challenging for new users. Arduino Integrated Development Environment (IDE) simplifies programming, uploading code, and utilization of ESP32 capabilities, enabling users to incorporate it into their IoT projects with ease. This book will help you learn the essentials of sensing, networking, data processing, and applications with ESP32, laying a strong foundation for further IoT development. Starting with ESP32 and Arduino Ide 2.0 basics, you'll first explore practical implementation examples of interfacing sensors with ESP32. These examples will also teach you how to interface the ESP32 camera and display modules with ESP32. As you progress, you’ll get to grips with IoT network and data protocols, as well as the many options they unlock within IoT applications. The book will also help you leverage your newly acquired knowledge with exciting projects ranging from smart connected devices to data loggers and automation. By the end of this book, you'll confidently navigate ESP32 projects with newfound knowledge and skills, know what IoT protocol to select for your applications, and successfully build and deploy your own IoT projects.What you will learnUnderstand the architecture of ESP32 including all its ins and outsGet to grips with writing code for ESP32 using Arduino IDE 2.0Interface sensors with ESP32, focusing on the science behind itFamiliarize yourself with the architecture of various IoT network protocols in-depthGain an understanding of the network protocols involved in IoT device communicationEvaluate and select the ideal data-based IoT protocol for your project or applicationApply IoT principles to real-world projects using Arduino IDE 2.0Who this book is forThis book is for electronics enthusiasts, hobbyists, and other professionals looking to design IoT applications utilizing ESP32. While it’s designed to be accessible for beginners, a basic understanding of electronics and some experience with programming concepts is a prerequisite.
Mastering Julia: Enhance your analytical and programming skills for data modeling and processing with Julia
by Malcolm SherringtonA hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenariosKey FeaturesAugment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionJulia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second. This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing. Starting off with a refresher on installing and running Julia on different platforms, you’ll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs). As you progress, you’ll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You’ll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia. By the end of this book, you’ll be confident in using Julia as part of your existing skill set.What you will learnDevelop simple scripts in Julia using the REPL, code editors, and web-based IDEsGet to grips Julia’s type system, multiple dispatch, metaprogramming, and macro developmentInteract with data files, tables, data frames, SQL, and NoSQL databasesDelve into statistical analytics, linear programming, and optimization problemsCreate graphics and visualizations to enhance modeling and simulation in JuliaUnderstand Julia's main approaches to machine learning, Bayesian analysis, and AIWho this book is forThis book is not an introduction to computer programming, but a practical guide for developers who want to enhance their basic knowledge of Julia, or those wishing to augment their skill set by adding Julia to their existing roster of programming languages. Familiarity with a scripting language such as Python or R, or a compiled language such as C/C++, C# or Java, is a prerequisite.
Microsoft Intune Cookbook: Over 75 recipes for configuring, managing, and automating your identities, apps, and endpoint devices
by Andrew TaylorGet started with Microsoft Intune and explore its many facets, including task automation with Microsoft GraphKey FeaturesCreate and configure your new mobile device management (MDM) environmentBecome an Intune pro by mastering compliance policies, monitoring techniques, reporting practices, and application deployment proceduresLearn how to manage Windows, Android, iOS, and macOS devices using IntunePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMicrosoft Intune is a cloud-managed mobile device management (MDM) tool that empowers you to manage your end-user device estate across various platforms. While it is an excellent platform, the initial setup and configuration can be a daunting process, and mistakes made early on can be more challenging to resolve later. This book addresses these issues by guiding you through the end-to-end configuration of an Intune environment, incorporating best practices and utilizing the latest functionalities. In addition to setting up your environment, you’ll delve into the Microsoft Graph platform to understand the underlying mechanisms behind the web GUI. This knowledge will enable you to automate a significant portion of your daily tasks using PowerShell. By the end of this book, you’ll have established an Intune environment that supports Windows, Apple iOS, Apple macOS, and Android devices. You’ll possess the expertise to add new configurations, policies, and applications, tailoring an environment to your specific requirements. Additionally, you’ll have the ability to troubleshoot any issues that may arise and package and deploy your company applications. Overall, this book is an excellent resource for anyone who wants to learn how to use Microsoft Intune to manage their organization's end-user devices.What you will learnSet up your Intune tenant and associated platform connectionsCreate and deploy device policies to your organization's devicesFind out how to package and deploy your applicationsExplore different ways to monitor and report on your environmentLeverage PowerShell to automate your daily tasksUnderstand the underlying workings of the Microsoft Graph platform and how it interacts with IntuneWho this book is forThis book is for IT professionals, end-user device administrators, and system administrators looking to transition to cloud-managed devices or enhance their current environment.
Oracle Linux Cookbook: Embrace Oracle Linux and master Linux Server Management
by Erik Benner Erik B. Thomsen Jonathan SpindelGet to grips with cloud security fundamentals, uncover cloud exploits, and safeguard your organization's network through effective pentesting of AWS, Azure, and GCPKey FeaturesEffortlessly upgrade from Oracle Linux 7 or migrate from CentOSBecome a pro sysadmin by learning new tricks to manage your Oracle Linux serversLearn how to install, configure, administer, and maintain Oracle Linux serversPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the power of Oracle Linux 8, the free and enterprise-grade Linux distribution designed for use in any environment, with this recipe-style book. Starting with instructions on how to obtain Oracle Linux for both X86 and ARM-based platforms, this book walks you through various installation methods, from running it as a Windows service to installing it on a Raspberry Pi. It unravels advanced topics such as system upgrades using Leapp for major version transitions and using a PXE server and kickstart files for more advanced installations. The book then delves into swapping kernels to take advantage of Oracle’s UEK, exploring boot options, managing software with DNF, and achieving high availability. Detailed recipes involving security topics will assist with tasks such as data encryption, both at rest and in motion. For developers, it offers guidance on building RPM files, using Docker and Podman in a containerized environment, working with AppStreams, and more. For large-scale deployments, the book introduces Oracle Linux Automation Manager for enterprise-level Ansible utilization, from setting up the Ansible server to basic playbook writing. Finally, you’ll discover strategies for cloud migration. By the end of this book, you’ll possess a comprehensive toolkit that will elevate your skills as a Linux administrator.What you will learnMaster the use of DNF for package management and stream-specific installationsImplement high availability services through Podman and Oracle Linux Automation ManagerSecure your system with Secure Boot and at-rest disk encryption techniquesAchieve rebootless system updates using the Ksplice technologyOptimize large-scale deployments with Oracle Linux Automation Manager and AnsibleGain practical insights into storage management using Btrfs and LVMWho this book is forThis book is for existing Oracle Linux system administrators and CentOS or RHEL admins contemplating a migration to Oracle Linux 8. A foundation of basic sysadmin skills is assumed as this is not an entry-level book; it's a cookbook focused on complex and lesser-known configurations specifically for Oracle Linux 8.
Building an API Product: Design, implement, release, and maintain API products that meet user needs
by Bruno PedroUnlock the power of APIs with expert guidance and techniques for successfully creating, testing, and maintaining products that align with customers and stand out in the marketKey FeaturesUnderstand the complete API product lifecycle, from planning to implementation, release, and maintenanceDesign and support API products that distinguish themselves on the market by meeting user needsImplement actionable techniques for developing, testing, and securing a successful API productPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe exponential increase in the number of APIs is evidence of their widespread adoption by companies seeking to deliver value to users across diverse industries, making the art of building successful APIs an invaluable skill for anyone involved in product development. With this comprehensive guide, you’ll walk through the entire process of planning, designing, implementing, releasing, and maintaining successful API products. You’ll start by exploring all aspects of APIs, including their types, technologies, protocols, and lifecycle stages. Next, you’ll learn how to define an API strategy and identify business objectives, user personas, and jobs-to-be-done (JTBD). With these skills, you’ll delve into designing and validating API capabilities to create a machine-readable API definition. As you advance, the book helps you understand how to choose the right language and framework for securely releasing an API server and offers insights into analyzing API usage metrics, improving performance, and creating compelling documentation that users love. Finally, you’ll discover ways to support users, manage versions, and communicate changes or the retirement of an API. By the end of this API development book, you’ll have the confidence and skills to create API products that truly stand out in the market.What you will learnMaster each stage of the API lifecycleDiscover technologies and protocols employed in building an API productUnderstand the different API design definition and validation techniquesGenerate an API server from a machine-readable definitionUnderstand how to set up and analyze API monitorsFamiliarize yourself with the different gateways for releasing an APIFind out how to create an API portal that attracts usersGain insights into planning and communicating API retirement to usersWho this book is forBuilding an API Product is a guide for product managers and software developers navigating the world of APIs to build programmable products. You don't have to be an experienced professional to learn from this book as long as you have basic knowledge of internet technologies and how users interact with a product.
Microsoft Azure Fundamentals Certification and Beyond: A complete AZ-900 exam guide with online mock exams, flashcards, and hands-on activities
by Steve MilesAdvance your career by learning how to apply Azure Fundamentals effectively with this comprehensive guide, accompanied by web-based tools such as mock exams, flashcards, and hands-on activitiesKey FeaturesMaster the fundamentals of Azure through a comprehensive exploration of compute, network, and storage servicesLearn essential tools and strategies for securing, governing, and administering Azure effectivelyUse the mobile-friendly bonus website that comes with the book to gain ample practice on the goBook DescriptionMicrosoft Azure Fundamentals Certification and Beyond, Second Edition, combines the comprehensive cloud fundamentals book with Packt’s powerful exam training platform, offering a holistic learning experience designed to help you not just ace the AZ-900 exam but also apply that knowledge to excel in your career. Guiding you in building robust foundational knowledge of the Microsoft Azure cloud platform, this book helps you prepare for the AZ-900 exam confidently. The online content, included with every purchase, will help you memorize key concepts and assess your exam readiness. Starting with an introduction to cloud computing and its advantages, the book systematically guides you through Azure architecture and services before progressing to management and governance within Azure. The online platform unlocks unlimited access to mock exams with exam-like timers, detailed solutions for each question, interactive flashcards, exam tips, and interactive activities—all accessible from your computer, tablet, and smartphone. By the end of this book, you’ll be well prepared to pass the AZ-900 exam and have the foundational knowledge to delve into advanced cloud concepts.What you will learnBecome proficient in foundational cloud conceptsDevelop a solid understanding of core components of the Microsoft Azure cloud platformGet to grips with Azure’s core services, deployment, and management toolsImplement security concepts, operations, and posture managementExplore identity, governance, and compliance featuresGain insights into resource deployment, management, and monitoringWho this book is forThis Azure fundamentals book is for individuals with technical or non-technical backgrounds who want to learn and explore the field of cloud computing with Microsoft Azure. There are no prerequisites to get started, only a willingness to learn and explore cloud concepts and Microsoft Azure.
Edge Computing Patterns for Solution Architects: Learn methods and principles of resilient distributed application architectures from hybrid cloud to far edge
by Ashok Iyengar Joseph PearsonMaster edge computing architectures, unlock industry-specific patterns, apply proven best practices, and progress from basics to end-to-end solutionsKey FeaturesUnlock scalable edge solutions by mastering proven archetypes for real-world successLearn industry-specific patterns, tailoring solutions for diverse sector needsMake strategic decisions between cloud-out and edge-in strategies with confidencePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEnriched with insights from a hyperscaler’s perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches. This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you’ll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You’ll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing. By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape.What you will learnDistinguish edge concepts, recognizing that definitions vary among different audiencesExplore industry-specific architecture patterns that shape custom solutionsAnalyze three proven edge computing archetypes for real-world scalabilityApply best practices judiciously, adapting patterns to meet specific requirementsEvaluate data for storage or discarding based on compliance and industry normsAdvance from the foundational basics to complex end-to-end edge configurationsGain practical insights for achieving low-latency, high-bandwidth edge solutionsWho this book is forIdeal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.
Growth Product Manager's Handbook: Winning strategies and frameworks for driving user acquisition, retention, and optimizing metrics
by Eve ChenAchieve sustainable product growth with expert insights on data-driven decision-making and growth strategies to accelerate company's growthKey FeaturesUnderstand and implement key growth product management models to improve revenue, user adoption, and retentionLearn effective frameworks, strategies, and tactics for growth product management in various contextsDevelop practical strategies and insights to achieve customer lifetime goalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product. This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals. By the end of this book, you’ll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.What you will learnUnderstand key growth product management models such as lean startup, pirate metrics, and AARRR frameworksOptimize journeys, improve UX, and personalize interactions with retention and loyalty strategiesExplore model applications in SaaS, e-commerce, and mobile app developmentImplement practical actions to prioritize, experiment, and measureGet to grips with techniques of service, feedback, and rewards for customer retentionSet and achieve customer lifetime value goals for successDiscover effective strategies for achieving your customer-for-life goalsWho this book is forWhether you're a seasoned product manager, a newcomer to the field, or an aspiring growth product manager, this guide offers valuable insights and actionable strategies to drive growth and achieve success. Additionally, growth marketers and startup founders with basic product marketing knowledge will benefit from this book, expanding their understanding of growth-centric product management practices to elevate their careers and propel their companies to acquire more customers and reach customer-for-life goals.
MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results
by Giuseppe CiaburroMaster MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applicationsKey FeaturesWork with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithmsEvaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoringUncover effective approaches to deep learning for computer vision, time series analysis, and forecastingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learnDiscover different ways to transform data into valuable insightsExplore the different types of regression techniquesGrasp the basics of classification through Naive Bayes and decision treesUse clustering to group data based on similarity measuresPerform data fitting, pattern recognition, and cluster analysisImplement feature selection and extraction for dimensionality reductionHarness MATLAB tools for deep learning explorationWho this book is forThis book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.
Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala
by Eric Tome Rupam Bhattacharjee David RadfordTake your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate dataKey FeaturesTransform data into a clean and trusted source of information for your organization using ScalaBuild streaming and batch-processing pipelines with step-by-step explanationsImplement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD)Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.What you will learnSet up your development environment to build pipelines in ScalaGet to grips with polymorphic functions, type parameterization, and Scala implicitsUse Spark DataFrames, Datasets, and Spark SQL with ScalaRead and write data to object storesProfile and clean your data using DeequPerformance tune your data pipelines using ScalaWho this book is forThis book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
Kubernetes Secrets Handbook: Design, implement, and maintain production-grade Kubernetes Secrets management solutions
by Emmanouil Gkatziouras Rom Adams Chen XiGain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainabilityKey FeaturesMaster Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recoveryBuild your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and complianceLearn how to manage Secrets through real-world cases, strengthening your applications’ security posturePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes. Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you’ll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions. Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution. By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learnExplore Kubernetes Secrets, related API objects, and CRUD operationsUnderstand the Kubernetes Secrets limitations, attack vectors, and mitigation strategiesExplore encryption at rest and external secret storesBuild and operate a production-grade solution with a focus on business continuityIntegrate a Secrets Management solution in your CI/CD pipelinesConduct continuous assessments of the risks and vulnerabilities for each solutionDraw insights from use cases implemented by large organizationsGain an overview of the latest and upcoming Secrets management trendsWho this book is forThis handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path—from foundations to implementation—with a security-first mindset. You’ll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.
Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system
by Miroslaw StaronEfficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a professional levelSecure the quality of your machine learning pipeline at runtimeApply your knowledge to natural languages, programming languages, and imagesBook DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products. The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality. Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.What you will learnIdentify what the machine learning software best suits your needsWork with scalable machine learning pipelinesScale up pipelines from prototypes to fully fledged softwareChoose suitable data sources and processing methods for your productDifferentiate raw data from complex processing, noting their advantagesTrack and mitigate important ethical risks in machine learning softwareWork with testing and validation for machine learning systemsWho this book is forIf you’re a machine learning engineer, this book will help you design more robust software, and understand which scaling-up challenges you need to address and why. Software engineers will benefit from best practices that will make your products robust, reliable, and innovative. Decision makers will also find lots of useful information in this book, including guidance on what to look for in a well-designed machine learning software product.
Managing Data Integrity for Finance: Discover practical data quality management strategies for finance analysts and data professionals
by Jane Sarah LatLevel up your career by learning best practices for managing the data quality and integrity of your financial dataKey FeaturesAccelerate data integrity management using artificial intelligence-powered solutionsLearn how business intelligence tools, ledger databases, and database locks solve data integrity issuesFind out how to detect fraudulent transactions affecting financial report integrityBook DescriptionData integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What you will learnDevelop a customized financial data quality scorecardUtilize business intelligence tools to detect, manage, and resolve data integrity issuesFind out how to use managed cloud-based ledger databases for financial data integrityApply database locking techniques to prevent transaction integrity issues involving finance dataDiscover the methods to detect fraudulent transactions affecting financial report integrityUse artificial intelligence-powered solutions to resolve various data integrity issues and challengesWho this book is forThis book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book.
Mastering Cloud Security Posture Management (CSPM): Secure multi-cloud infrastructure across AWS, Azure, and Google Cloud using proven techniques
by Qamar NomaniStrengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environmentKey FeaturesChoose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirementsOptimize your security posture with expert techniques for in-depth cloud security insightsImprove your security compliance score by adopting a secure-by-design approach and implementing security automationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.What you will learnFind out how to deploy and onboard cloud accounts using CSPM toolsUnderstand security posture aspects such as the dashboard, asset inventory, and risksExplore the Kusto Query Language (KQL) and write threat hunting queriesExplore security recommendations and operational best practicesGet to grips with vulnerability, patch, and compliance management, and governanceFamiliarize yourself with security alerts, monitoring, and workload protection best practicesManage IaC scan policies and learn how to handle exceptionsWho this book is forIf you’re a cloud security administrator, security engineer, or DevSecOps engineer, you’ll find this book useful every step of the way—from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.
MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations
by Ross Brigoli Faisal MasoodBuild and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more. With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform. As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models. Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.What you will learnBuild a solid foundation in key MLOps concepts and best practicesExplore MLOps workflows, covering model development and trainingImplement complete MLOps workflows on the Red Hat OpenShift platformBuild MLOps pipelines for automating model training and deploymentsDiscover model serving approaches using Seldon and Intel OpenVinoGet to grips with operating data science and machine learning workloads in OpenShiftWho this book is forThis book is for MLOps and DevOps engineers, data architects, and data scientists interested in learning the OpenShift platform. Particularly, developers who want to learn MLOps and its components will find this book useful. Whether you’re a machine learning engineer or software developer, this book serves as an essential guide to building scalable and efficient machine learning workflows on the OpenShift platform.
Network Architect's Handbook: An expert-led journey to building a successful career as a network architect
by Alim H. AliFollow a step-by-step roadmap to developing essential competencies in network architecture design, relationship management, systems, and services, coupled with certification guidance and expert tipsKey FeaturesGrasp the big picture of information technology infrastructure to become a successful network architectOvercome challenges in network performance and configuration managementEnhance your skills for career advancement using real-life examples and tipsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionBecoming a network architect is challenging—it demands hands-on engineering skills, encompassing hardware installation, configuration, and fabric layout design. Equally crucial, it involves collaboration with internal teams and C-Suite stakeholders, and adeptly managing external entities like vendors and service providers. The Network Architect's Handbook comprehensively covers these vital aspects, guiding you to evolve into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders. Starting with a clear definition of a network architect’s role, this book lays out a roadmap and delves into the attributes and mindset for success. You’ll then explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. As you progress, you’ll gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position. Armed with essential concepts, techniques, and your newfound skills, you’ll be well-prepared to pursue a career as a network architect.What you will learnExamine the role of a network architectUnderstand the key design makers in an organizationChoose the best strategies to meet stakeholder needsBe well-versed with networking conceptsPrepare for a network architect position interviewDistinguish the different IT architects in an organizationIdentify relevant certification for network architectsUnderstand the various de facto network/fabric architect models used todayWho this book is forThis book is for network engineers and technicians aspiring to transition into the role of a network architect. Whether you are at the beginning of your journey or seeking guidance along the path, this book will support you with its deep coverage of key aspects such as design concepts, architectural requirements, relevant experience, certifications, and advanced education with a special emphasis on cloud best practices. A practical understanding of IT networking is necessary to get the most out of this book.
Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning
by Sinan OzdemirTransform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your dataKey FeaturesLearn practical data science combined with data theory to gain maximum insights from dataDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and modelsExplore actionable case studies to put your new skills to use immediatelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPrinciples of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights. Starting with cleaning and preparation, you’ll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you’ll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You’ll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you’ll explore medium-level data governance, including data provenance, privacy, and deletion request handling. By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.What you will learnMaster the fundamentals steps of data science through practical examplesBridge the gap between math and programming using advanced statistics and MLHarness probability, calculus, and models for effective data controlExplore transformative modern ML with large language modelsEvaluate ML success with impactful metrics and MLOpsCreate compelling visuals that convey actionable insightsQuantify and mitigate biases in data and ML modelsWho this book is forIf you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you’ll find this book useful. Familiarity with Python programming will further enhance your learning experience.
Salesforce DevOps for Architects: Discover tools and techniques to optimize the delivery of your Salesforce projects
by Rob Cowell Lars MalmqvistMaster Salesforce DevOps while exploring deployment, packages, Git workflows, and organizational monitoring using third-party tools such as Salesforce DX, GitHub, Jenkins, Gearset, and CopadoKey FeaturesLearn to build a DevOps culture to mitigate project risks and boost return on investment (ROI)Delve into the principles of DevOps and how to apply them in Salesforce for maximum efficiencyExplore Salesforce DevOps tools, with examples and strategies for building a robust DevOps stackPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs the Salesforce Platform evolves into an increasingly complex landscape, architects face a growing demand for advanced solutions. The key to successful Salesforce projects lies in effective DevOps practice, and this book helps you achieve just that by offering strategic and practical insights into Salesforce components. The book starts by cultivating a DevOps mindset, focusing on collaboration, coordination, and communication, and learning how to efficiently demonstrate governance, visibility, and accountability. Building upon this architectural foundation, you’ll delve into tools and techniques to plan your strategy using the capabilities of SFDX. Once you’ve gotten to grips with Salesforce packaging, you'll learn how to build a CI/CD stack with freely available software and configure it for automated change delivery. You’ll then address the operational concerns of a mature DevOps process as you explore topics such as ticket management, backups, change monitoring, and data seeding—essential for maintaining a clean and healthy Salesforce org. Finally, you’ll learn about the ecosystem of third-party solutions, which provide out-of-the-box capabilities to accelerate your Salesforce DevOps journey. By the end of this book, you'll have demystified Salesforce DevOps, empowering you to deliver Salesforce projects with the expertise of a DevOps professional.What you will learnGrasp the fundamentals of integrating a DevOps process into Salesforce project deliveryMaster the skill of communicating the benefits of Salesforce DevOps to stakeholdersRecognize the significance of fostering a DevOps culture and its impact on Salesforce projectsUnderstand the role of metrics in DevOps architecture within Salesforce environmentsGain insights into the components comprising a Salesforce DevOps toolchainDiscover strategies for maintaining a healthy Salesforce org with a variety of supporting DevOps toolsWho this book is forIf you are a Salesforce architect or senior developer looking to bring DevOps best practices to your projects, this book is for you. To learn from this book, you should have a strong familiarity with Salesforce platform development both in code and low-code, understand concepts such as metadata, JSON, and XML, and feel at ease with command-line operations.