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Google Cloud for Developers : Write, migrate, and extend your code by leveraging Google Cloud / Hector Parra MARTINEZ / PACKT PUBLISHING (2023)
Titre : Google Cloud for Developers : Write, migrate, and extend your code by leveraging Google Cloud Type de document : e-book Auteurs : Hector Parra MARTINEZ Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781837630745 Note générale : copyrighted Langues : Anglais (eng) Résumé : Unlock your potential with this ultimate guide to Google Cloud – packed with expert tips, coding techniques, legacy migration, and application extension strategies Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaximize your code potential using Google Cloud servicesMigrate legacy code to the cloud seamlessly and create code that runs anywhereUse hands-on examples to learn and showcase your experience with Google CloudBook DescriptionAs more organizations embrace cloud computing, developers new to the cloud often feel overwhelmed by cloud migration and code running directly on the cloud. Google Cloud for Developers comes packed with practical tips and expert advice to accelerate your application development journey and help you unlock the full potential of cloud computing. You’ll begin by understanding and comparing all the available options to run your code. You’ll write, deploy, monitor, and troubleshoot your code without leaving the Google Cloud IDE while selecting the best option – serverless or GKE containers – for each use case. After that, you’ll get to grips with the basic Google Cloud infrastructure services and connect your code with public APIs. This will help you add features to your application, such as language translation and object detection in images or videos. Furthermore, you’ll explore a comprehensive list of tips and best practices to make your migration smooth. You’ll also gain the necessary knowledge to write code from scratch, by employing the basics of hybrid cloud applications and build services that can run virtually anywhere. By the end of this book, you’ll be well equipped to carry out the application development process and successfully move your code to Google Cloud.What you will learnUnderstand how to write, run, and troubleshoot code on Google CloudChoose between serverless or GKE containers for running your codeConnect your code to Google Cloud services using public APIsMigrate your code to Google Cloud flawlesslyBuild hybrid cloud solutions that can run virtually anywhereGet to grips with Cloud Functions, App Engine, GKE, and AnthosWho this book is forGoogle Cloud for Developers is for cloud architects, engineers, or developers willing to migrate their applications and services to Google Cloud or build them from scratch. Entrepreneurs in early-stage start-ups and IT professionals who want to know more about Google Cloud from a developer perspective will also benefit from this book. A basic understanding of Cloud concepts and basic experience in writing Python and Shell scripts is a must. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88943285 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=577104 GPT-3 : The Ultimate Guide To Building NLP Products With OpenAI API / Sandra KUBLIK / PACKT PUBLISHING (2023)
Titre : GPT-3 : The Ultimate Guide To Building NLP Products With OpenAI API Type de document : e-book Auteurs : Sandra KUBLIK Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781805125228 Note générale : copyrighted Langues : Anglais (eng) Résumé : GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API is a comprehensive book on the Generative Pre-trained Transformer 3 AI language model, covering its significance, capabilities, and application in creating innovative NLP Products.Key FeaturesExploration of GPT-3: The book explores GPT-3, a powerful language model, and its capabilitiesBusiness applications: The book provides practical knowledge on using GPT-3 to create new business productsExamination of AI trends: The book examines the impact of GPT-3 on emerging creator economy and trends like no-code & AGIBook DescriptionGPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.What you will learnLearn the essential components of the OpenAI API along with the best practicesBuild and deploy your first GPT-3 powered applicationLearn from the journeys of industry leaders, startup founders who have built and deployed GPT-3 based products at scaleLook at how enterprises view GPT-3 and its potential for adoption for scalable solutionsNavigating the Consequences of GPT-3 adoption and efforts to resolve themExplore the exciting trends and possibilities of combining models with GPT-3 with No codeWho this book is forThis book caters to individuals from diverse backgrounds, not just technical experts. It should be useful to you if you are:A data expert seeking to improve your AI expertiseAn entrepreneur looking to revolutionize the AI industryA business leader seeking to enhance your AI knowledge and apply it to informed decision makingA content creator in the language domain looking to utilize GPT-3's language abilities for creative and imaginative projectsAnyone with an AI idea that was previously deemed technically unfeasible or too costly to execute Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88940581 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=570222 Graph Data Modeling in Python : A practical guide to curating, analyzing, and modeling data with graphs / Gary HUTSON / PACKT PUBLISHING (2023)
Titre : Graph Data Modeling in Python : A practical guide to curating, analyzing, and modeling data with graphs Type de document : e-book Auteurs : Gary HUTSON Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781804618035 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesTransform relational data models into graph data model while learning key applications along the wayDiscover common challenges in graph modeling and analysis, and learn how to overcome themPractice real-world use cases of community detection, knowledge graph, and recommendation networkBook DescriptionGraphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis. Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements. By the end of this book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.What you will learnDesign graph data models and master schema design best practicesWork with the NetworkX and igraph frameworks in Python Store, query, ingest, and refactor graph dataStore your graphs in memory with Neo4jBuild and work with projections and put them into practiceRefactor schemas and learn tactics for managing an evolved graph data modelWho this book is forIf you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also beneficial for data scientists and Python developers looking to get started with graph data modeling. Although knowledge of Python is assumed, no prior experience in graph data modeling theory and techniques is required. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946748 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581125 Graph Data Science with Neo4j : Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project / Estelle SCIFO / PACKT PUBLISHING (2023)
Titre : Graph Data Science with Neo4j : Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project Type de document : e-book Auteurs : Estelle SCIFO Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781804612743 Note générale : copyrighted Langues : Anglais (eng) Résumé : Supercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learningPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExtract meaningful information from graph data with Neo4j's latest version 5Use Graph Algorithms into a regular Machine Learning pipeline in PythonLearn the core principles of the Graph Data Science Library to make predictions and create data science pipelines.Book DescriptionNeo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You'll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you'll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you'll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you'll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.What you will learnUse the Cypher query language to query graph databases such as Neo4jBuild graph datasets from your own data and public knowledge graphsMake graph-specific predictions such as link predictionExplore the latest version of Neo4j to build a graph data science pipelineRun a scikit-learn prediction algorithm with graph dataTrain a predictive embedding algorithm in GDS and manage the model storeWho this book is forIf you're a data scientist or data professional with a foundation in the basics of Neo4j and are now ready to understand how to build advanced analytics solutions, you'll find this graph data science book useful. Familiarity with the major components of a data science project in Python and Neo4j is necessary to follow the concepts covered in this book. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88940263 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=567930 gRPC Go for Professionals : Implement, test, and deploy production-grade microservices / Clément JEAN / PACKT PUBLISHING (2023)
Titre : gRPC Go for Professionals : Implement, test, and deploy production-grade microservices Type de document : e-book Auteurs : Clément JEAN Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781837638840 Note générale : copyrighted Langues : Anglais (eng) Résumé : Build robust, production-ready microservices in gRPC Go to enhance the scalability and efficiency of your APIs in real-world applications Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesDiscover essential guidelines to steer clear of pitfalls when designing and evolving your gRPC servicesDevelop your understanding of advanced gRPC concepts such as authentication and securityPut your knowledge into action as you build, test, and deploy a TODO list microserviceBook DescriptionIn recent years, the popularity of microservice architecture has surged, bringing forth a new set of requirements. Among these, efficient communication between the different services takes center stage, and that's where gRPC shines. This book will take you through creating gRPC servers and clients in an efficient, secure, and scalable way. However, communication is just one aspect of microservices, so this book goes beyond that to show you how to deploy your application on Kubernetes and configure other tools that are needed for making your application more resilient. With these tools at your disposal, you’ll be ready to get started with using gRPC in a microservice architecture. In gRPC Go for Professionals, you'll explore core concepts such as message transmission and the role of Protobuf in serialization and deserialization. Through a step-by-step implementation of a TODO list API, you’ll see the different features of gRPC in action. You’ll then learn different approaches for testing your services and debugging your API endpoints. Finally, you’ll get to grips with deploying the application services via Docker images and Kubernetes.What you will learnUnderstand the different API endpoints that gRPC lets you writeDiscover the essential considerations when writing your Protobuf filesCompile Protobuf code with protoc and Bazel for efficient developmentGain insights into how advanced gRPC concepts workGrasp techniques for unit testing and load testing your APIGet to grips with deploying your microservices with Docker and KubernetesDiscover tools for writing secure and efficient gRPC codeWho this book is forWhether you’re interested in microservices or looking to use gRPC in your product, this book is for you. To fully benefit from its contents, you’ll need a solid grasp of Go programming and using a terminal. If you’re already familiar with gRPC, this book will help you to explore the different concepts and tools in depth. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946750 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581118 A Handbook of Mathematical Models with Python : Elevate your machine learning projects with NetworkX, PuLP, and linalg / Dr. Ranja SARKAR / PACKT PUBLISHING (2023)PermalinkHands-On Computer Vision with Detectron2 : Develop object detection and segmentation models with a code and visualization approach / Van Vung PHAM / PACKT PUBLISHING (2023)PermalinkHands-On Design Patterns with C++ : Solve common C++ problems with modern design patterns and build robust applications / Fedor G. PIKUS / PACKT PUBLISHING (2023)PermalinkHands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch / Maxime LABONNE / PACKT PUBLISHING (2023)PermalinkHands-On Web Scraping with Python : Extract quality data from the web using effective Python techniques / Anish CHAPAGAIN / PACKT PUBLISHING (2023)PermalinkHashiCorp Packer in Production : Efficiently manage sets of images for your digital transformation or cloud adoption journey / John BOERO / PACKT PUBLISHING (2023)PermalinkHigh Performance with Laravel Octane : Learn to fine-tune and optimize PHP and Laravel apps using Octane and an asynchronous approach / Roberto BUTTI / PACKT PUBLISHING (2023)PermalinkHow to Build Android Apps with Kotlin : A practical guide to developing, testing, and publishing your first Android apps / Alex FORRESTER / PACKT PUBLISHING (2023)PermalinkHow to Test a Time Machine : A practical guide to test architecture and automation / Noemí FERRERA / PACKT PUBLISHING (2023)PermalinkImplementing Atlassian Confluence : Strategies, tips, and insights to enhance distributed team collaboration using Confluence / Eren KALELIOGLU / PACKT PUBLISHING (2023)PermalinkImplementing Cellular IoT Solutions for Digital Transformation : Successfully develop, deploy, and maintain LTE and 5G enterprise IoT systems / Dennis MCCAIN / PACKT PUBLISHING (2023)PermalinkImplementing Event-Driven Microservices Architecture in .NET 7 : Develop event-based distributed apps that can scale with ever-changing business demands using C# 11 and .NET 7 / Donovan BROWN / PACKT PUBLISHING (2023)PermalinkImplementing Multifactor Authentication : Protect your applications from cyberattacks with the help of MFA / Marco FANTI / PACKT PUBLISHING (2023)PermalinkImproving CAD Designs with Autodesk Fusion 360 : A project-based guide to modelling effective parametric designs / Kevin Michael LAND / PACKT PUBLISHING (2023)PermalinkIndustrial Automation from Scratch : A hands-on guide to using sensors, actuators, PLCs, HMIs, and SCADA to automate industrial processes / Olushola AKANDE / PACKT PUBLISHING (2023)PermalinkInfrastructure as Code for Beginners : Deploy and manage your cloud-based services with Terraform and Ansible / Russ MCKENDRICK / PACKT PUBLISHING (2023)PermalinkInternet of Things for Smart Buildings : Leverage IoT for smarter insights for buildings in the new and built environments / Harry G. SMEENK / PACKT PUBLISHING (2023)PermalinkIoT and OT Security Handbook : Assess risks, manage vulnerabilities, and monitor threats with Microsoft Defender for IoT / Smita JAIN / PACKT PUBLISHING (2023)PermalinkISACA Certified in Risk and Information Systems Control (CRISC®) Exam Guide : A primer on GRC and an exam guide for the most recent and rigorous IT risk certification / Shobhit MEHTA / PACKT PUBLISHING (2023)PermalinkJoomla! 4 Masterclass : A practitioner's guide to building rich and modern websites using the brand-new features of Joomla 4 / Luca MARZO / PACKT PUBLISHING (2023)Permalink
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