Create Beautiful Visualizations that Free Your Data to Tell Powerful Truths "e;The depth of Barrett Clark's knowledge shines through in his writing: clear, concise, and confident.
Create Beautiful Visualizations that Free Your Data to Tell Powerful Truths "e;The depth of Barrett Clark's knowledge shines through in his writing: clear, concise, and confident.
Enterprise Java developers must achieve broader, deeper test coverage, going beyond unit testing to implement functional and integration testing with systematic acceptance.
Discover WTP, the New End-to-End Toolset for Java-Based Web Development The Eclipse Web Tools Platform (WTP) seamlessly integrates all the tools today's Java Web developer needs.
This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks.
This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products.
Discover how project Reactor enhances the reactive programming paradigm and allows you to build scalable asynchronous applicationsKey FeaturesUse reactive APIs, Flux, and Mono to implement reactive extensionsCreate concurrent applications without the complexity of Java's concurrent APIUnderstand techniques to implement event-driven and reactive applicationsBook DescriptionReactor is an implementation of the Java 9 Reactive Streams specification, an API for asynchronous data processing.
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP tasks and train its models using NLTK and TensorFlowBoost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas.
Learn basic to advanced RabbitMQ techniques with the help of a realistic case study shared by the experts from CloudAMQPKey FeaturesDelve into message queues with this comprehensive RabbitMQ guideExplore message queue architecture evolution with the help of a realistic case studyDiscover strategies for improving scalability and fault tolerance of a message queue architectureBook DescriptionRabbitMQ is an open source message queuing software that acts as a message broker using the Advanced Message Queuing Protocol (AMQP).
Solutions for modular, functional, reactive, GUI, network, and multithreaded programmingKey FeaturesExplore the latest features of Java 11 to implement efficient and reliable codeDevelop memory-efficient applications, understanding new garbage collection in Java 11Create restful webservices and microservices with Spring boot 2 and DockerBook DescriptionFor more than three decades, Java has been on the forefront of developing robust software that has helped versatile businesses meet their requirements.
Stoic Warriors explores the relationship between soldiers and Stoic philosophy, exploring what Stoicism actually is, the role it plays in the character of the military (both ancient and modern), and its powerful value as a philosophy of life.
Technology doesn't flow smoothly; it's the big surprises that matter, and Yale computer expert David Gelernter sees one such giant leap right on the horizon.
Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and appsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesImplement -of-the-art graph neural architectures in PythonCreate your own graph datasets from tabular dataBuild powerful traffic forecasting, recommender systems, and anomaly detection applicationsBook DescriptionGraph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as networks, chemical compounds, or transportation networks.
Implement defensive techniques in your ecosystem successfully with PythonKey FeaturesIdentify and expose vulnerabilities in your infrastructure with PythonLearn custom exploit development .
Build exciting robotics projects such as mobile manipulators, self-driving cars, and industrial robots powered by ROS, machine learning, and virtual realityKey FeaturesCreate and program cool robotic projects using powerful ROS librariesBuild industrial robots like mobile manipulators to handle complex tasksLearn how reinforcement learning and deep learning are used with ROSBook DescriptionNowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells.
Learn advanced C# concepts and techniques such as building caches, cryptography, and parallel programming by solving interesting programming challengesKey FeaturesGain useful insights on advanced C# programming topics and APIsUse locking and cached values to solve parallel problemsTake advantage of .
Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5Key FeaturesGain practical insights into code for all projects covered in this bookUnderstand modern computer vision concepts such as character recognition, image processing and modificationLearn to use a graphics processing unit (GPU) and its parallel processing power for filtering images quicklyBook DescriptionOpenCV and Qt have proven to be a winning combination for developing cross-platform computer vision applications.
Technology doesn't flow smoothly; it's the big surprises that matter, and Yale computer expert David Gelernter sees one such giant leap right on the horizon.
This book builds on basic Python tutorials to explain various Python language features that aren't routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources.
Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3.
Bring together the Python programming language and Microsoft's PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators.
Become an expert at using Python for advanced statistical analysis of data using real-world examplesKey Features[*] Clean, format, and explore data using graphical and numerical summaries[*] Leverage the IPython environment to efficiently analyze data with Python[*] Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataBook DescriptionPython, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning.