“…Como o atomic é diferente do volatile, como cada um deve ser usado, e como se relacionam com o API concomitante do C++…”

“…Explore modern Web Component design and integrate them with a variety of web frameworks to build encapsulated reusable UI components for your web apps Key Features Learn Web Components with more than 50 web component examples for both beginners and advanced users Create responsive and highly customizable web pages using HTML, CSS, and JavaScript Extend the potential of Web Components by integrating them with standard web frameworks Book Description Web Components are a set of APIs that help you build reusable UI modules that can operate in any modern browser using just Vanilla JavaScript. …”

“…You will build a chat-bot using an open-source tool Rasa, which is a text and voice-based conversations, understand messages, hold conversations, and connect to messaging channels and APIs. You will also learn to train the model you have created on NLU. …”

“…You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. …”

“…This course builds on the training in Marvin Bertin's "Introduction to TensorFlow-Slim", which covered the basic concepts and uses of the TensorFlow-Slim (TF-Slim) API. In a series of lessons designed for learners with basic machine learning knowledge and some previous TensorFlow experience, you'll explore many of TF-Slim's most advanced features; using them to build and train sophisticated deep learning models. …”

“…Understand how to access LinkedIn using the LinkedIn API and Python Learn how to download your own LinkedIn data and access your connections Explore techniques for dealing with messy data like similar titles or job descriptions Discover methods for clustering your contacts into similar jobs or grouping them by geography Learn how to produce intuitive data visualizations and output geographic data to Google Earth After completing his PhD in astrophysics, Mikhail Klassen transitioned to data science and refined his expertise in data mining, data analysis, and machine learning. …”

“…Learn how to interpret the metadata that accompanies every Tweet Master the ability to connect to the Twitter API using Python Acquire real life experience using Python for data mining Understand how to perform a frequency analysis of different words, users, or hashtags Learn to measure the emotional tone of Tweets by performing a sentiment analysis Gain experience downloading live Twitter datastreams and analyzing them for trends After completing his PhD in astrophysics, Mikhail Klassen transitioned to data science and refined his expertise in data mining, data analysis, and machine learning. …”

“…Learn about IBM Watson; its current capabilities, and its future Discover the basics of using the IBM Bluemix cloud platform and the IBM Watson API Gain experience conversing with IBM Watson by using it to build a chatbot Pick up techniques for extracting insights from speech and text with IBM Watson Expand your understanding of NLP, deep learning, machine learning, and AI Explore the possibilities of using IBM Watson in your industry and business Matt Coatney is a data scientist, TEDx speaker, entrepreneur, business advisor, and author who has championed the fields of machine learning and AI for more than 20 years. …”

“…From there, it explains the concepts behind the actor model, how the Akka toolkit compares with other concurrency concepts, and how to use the Akka API. Understand how to program event-driven reactive code using Actors and Akka Learn to implement readable and maintainable reactive code using Actors and Akka Gain experience building reliable and performant Java apps in a microservices/SOA model Raoul-Gabriel Urma is CEO of Cambridge Spark, a learning community for data scientists and developers in the UK. …”

“…It explains the concept behind CompletableFutures, examines the problems they solve for Java developers, and shows through examples how to use the API productively in practice. The course is designed for software architects and intermediate- to advanced-level Java developers. …”

“…The simplicity section describes how Spark 2.0 unifies the Spark APIs and Spark session, and how Spark 2.0 simplifies machine learning via ML pipelines. …”

“…Not only will you understand how Cassandra distinguishes itself from relational databases and other NoSQL stores, you'll learn enough of the Java API to get started writing code. The course explores Cassandra’s unique tabular data model; digs into the internal performance of each node in a Cassandra database—the read and write path; explains the operational responsibilities for maintaining a Cassandra cluster; and guides you through writing Java code that writes to and reads from a Cassandra database. …”

“…Using the Google Places API, you'll also understand how to display a map in the app and add markers and interactions to it. …”

“…Control your browser using Selenium, to scrape websites or even fill in forms Learn to interact with REST APIs and build a currency exchange program Create desktop GUIs using Tkinter, so your users can work with your applications very easily Start working with unit testing in Python by learning about the unit test library We've also completely re-recorded the course's introductory Python material, so it's even clearer and more straightforward! …”

“…DevOps stuff - StackDriver logging, monitoring, cloud deployment manager Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase) In Detail This course is a really comprehensive guide to the Google Cloud Platform - it has ~20 hours of content and ~60 demos. …”

“…Learn the Kafka Streams API with hands-on examples. Learn exactly once, build and deploy apps with Java 8 About This Video The easiest way to transform your data using the High Level DSL Exactly once semantics support out of the box! …”

“…Build a Progressive Web App (PWA) that feels like an iOS & Android App, using Device Camera, Push Notifications, and more About This Video Detailed explanation about what a PWA exactly is How to use an app manifest to make your web app installable on device homescreens Using service workers to offer offline support by caching assets Advanced service worker usage and caching strategies A refresher on Promises and the Fetch API as both concepts are heavily used in PWAs How to improve user engagement by adding push notifications A way to synchronize data in the background, even if connection is lost How to access native device features like the camera or geolocation Using Workbox to make service worker management easier Explanations on how to turn your next SPA project into a PWA In Detail Progressive Web Apps (PWA) are the next big thing in web development as they bring mobile-app-like experiences to your users without requiring them to install an app from the App store/ Play store.You still create a web application (HTML, CSS, JavaScript) but this course will teach you how to add features such as camera access, service workers for offline support, push notifications, and more. …”

“…Learn the basics of VR development from a 20 year VR evangelist Get a detailed look at the most popular VR hardware systems in use today Understand new input devices like haptic systems and 6DOF controllers Explore the development processes for desktop, mobile, and web based VR See how VR apps for Oculus Rift, Gear VR, and Google Cardboard are created Learn about the Web VR API, Three.js, Google VR SDK, and WebGL Explore the basics of working with Unity 3D, the dominant VR game engine Gain direct experience in developing VR applications for multiple platforms Tony Parisi, Head of VR and AR at Unity Technologies, is a VR evangelist who's worked actively in the field for over twenty years. …”

“…You'll utilize the Advanced User Interactions API to quickly spin up a Selenium Grid or run tests on the cloud. …”

“…The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x’s key features, such as the Keras and tf.data.Dataset APIs. You’ll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. …”