“…Il détaille pas à pas les interfaces de programmation pour la gestion des fichiers, la géolocalisation, la prise en charge du glisser-déposer (drag&drop) , et explique comment stocker des données locales, communiquer en temps réel ou procéder à des échanges interdocuments grâce aux API avancées Web Storage, Web Sockets et Web Messaging . …”

“…MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist…”

“…Aplicaciones prácticas es un libro para entusiastas de la programación, estudiantes y profesionales en el mundo Python, los capítulosinician con prácticas sencillas que aumentan de complejidad gradualmente y está desarrollado en el lenguaje de programación Python.Python está escrito en el lenguaje C, por lo que se puede extender a través de su api en C o C++ y escribir nuevos tipos de datos, funciones, etc. …”

“…Analizará todos los aspectos importantes, desde los fundamentos de la plataforma, la comprensibilidad y utilización de las API de Drupal, la creación de sus propios módulos, el diseño del código seguro, el establecimiento de sitios Web de alto rendimiento y otros temas que le permitirán convertirse rápidamente en un experto. …”

“…Then learn how to fetch data and images from external APIs for your project and enhance your UI skills. …”

“…Review the pros and cons of production debugging using JDK, APM, Log, and Metrics tools Discover the importance of injecting state into JVM threads when debugging behavior and performance Explore advanced capabilities of jstack and Hotspot debugging tools Explore the components, advantages, and disadvantages of JVM debugging architecture Create advanced debugging and monitoring functions, using advanced Bytecode instrumentation techniques for both Java and Scala applications Write Java agents to profile and collect root cause state from production JVMs Wire your Java agents into your DevOps infrastructure using industry DevOps protocols Discover the JVM Tooling Interface – the JVM’s lowest level of native API Tal Weiss builds JVM production debugging tools for high-scale applications. …”

“…You will: Get reusable code recipes and snippets for the Spring Boot 2 micro-framework Discover how Spring Boot 2 integrates with other Spring APIs, tools, and frameworks Access Spring MVC and the new Spring Web Sockets for simpler web development Work with microservices for web services development and integration with your Spring Boot applications Add persistence and a data tier seamlessly to make your Spring Boot web application do more Integrate enterprise services to create a more complex Java application using Spring Boot…”

“…This book includes real-world cases such as Internet of Things devices that send continuous streams to Phoenix, and the book explains how key features such as joins, indexes, transactions, and functions help you understand the simple, flexible, and powerful API that Phoenix provides. Examples are provided using real-time data and data-driven businesses that show you how to collect, analyze, and act in seconds. …”

“…Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of the data being stored Load and use unstructured and semi-structured data (such as documents and text) as is Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture…”

“…Learn why streaming beats request-response based architectures in complex, contemporary use cases Understand why replayable logs such as Kafka provide a backbone for both service communication and shared datasets Explore how event collaboration and event sourcing patterns increase safety and recoverability with functional, event-driven approaches Build service ecosystems that blend event-driven and request-driven interfaces using a replayable log and Kafka’s Streams API Scale beyond individual teams into larger, department- and company-sized architectures, using event streams as a source of truth…”

“…This report reveals why: The explosive growth of FinTech and mobile platforms, coupled with receptive populations, makes emerging markets a hot opportunity M-Pesa is currently the world’s most widely used mobile-money transfer and financial network FinTech has a socially transformative impact on previously unbanked adults in Africa—especially women The use of APIs by banks, in partnership with fintech firms and telecoms, will change the industry model Mobile data is the silent engine driving financial inclusion and will spark innovation and new use cases to reshape the financial industry…”

“…Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certification, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. …”

“…This report examines: Little-known standard library modules: collections , contextlib , concurrent.futures , logging , and sched Flit for simplifying the process of submitting a Python package to the Python Package Index (PyPI) Colorama and begins for making your command-line applications friendlier for users Pyqtgraph and pywebview for creating graphical user interfaces (GUIs) Watchdog , psutil , and ptpython for working closely with the operating system Hug for exposing APIs for other users' programs to consume Arrow and parsedatetime for working with dates and times Third-party general-purpose libraries: Boltons , Cython , and the awesome-python curated list…”

“…The topics in this 2014 edition of Big Data Now represent the major forces currently shaping the data world: Cognitive augmentation: predictive APIs, graph analytics, and Network Science dashboards Intelligence matters: defining AI, modeling intelligence, deep learning, and "summoning the demon" Cheap sensors, fast networks, and distributed computing: stream processing, hardware data flows, and computing at the edge Data (science) pipelines: broadening the coverage of analytic pipelines with specialized tools Evolving marketplace of big data components: SSDs, Hadoop 2, Spark; and why datacenters need operating systems Design and social science: human-centered design, wearables and real-time communications, and wearable etiquette Building a data culture: moving from prediction to real-time adaptation; and why you need to become a data skeptic Perils of big data: data redlining, intrusive data analysis, and the state of big data ethics…”

“…Guides readers from basic principles to complex processes in a logical, building block fashion Provides a clear, step-by-step process for performing a physical security threat and risk analysis for any organization Covers quantitative and qualitative risks such as operational risk, legal risk, reputational risk, social risks, and economic risks Utilizes the Department of Homeland Security risk assessment framework and best practices, including CARVER, API/NPRA, and RAMCAP…”

“…You will master HTML5 and its XML serialization, XHTML5, the new structuring and multimedia elements, the most important HTML5 APIs, and understand the standardization process of HTML 5.1, HTML 5.2, and future HTML5 versions…”

“…Prepare your app to adapt to your users' different cultural and business environments using globalization and localization APIs and best practices. Understand the certification process and publish your app to the Windows Store, with the option to pay once, install anywhere. …”

“…Active Directory Program Manager Vittorio Bertocci shows you how to: Address authentication challenges in the cloud or on-premises Systematically protect apps with Azure AD and AD Federation Services Power sign-in flows with OpenID Connect, Azure AD, and AD libraries Make the most of OpenID Connect’s middleware and supporting classes Work with the Azure AD representation of apps and their relationships Provide fine-grained app access control via roles, groups, and permissions Consume and expose Web APIs protected by Azure AD Understand new authentication protocols without reading complex spec documents…”

“…Understand the Internet of Things (IoT) from the perspective of business transformations, connectivity, and security Review leading IoT architectural models and applications Structure edge, fog, and centralized compute to maximize processing efficiency Recognize behavioral and operational differences between IoT networks and enterprise networks Gain a holistic understanding of public, private, or hybrid cloud environments that use VMs or containers Explore cloud service models, connectivity, security, scalability, and high availability designs. Master modern API-based programmability and automation methods for interacting with diverse network applications and devices Connect with the Cisco DevNet developer community and other key resources for Cisco network programming…”

“…You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector…”