Blender 3D By Example. Design a complete workflow with Blender to create stunning 3D scenes and films step-by-step!

Gordon Fisher, Romain Caudron, Pierre-Armand Nicq

Making Your CAM Journey Easier with Fusion 360. Learn the basics of turning, milling, laser cutting, and 3D printing

Fabrizio Cimo

Downloading a piece of 3D software and shaping concepts and ideas is quite easy. However, designing feasible and cost-effective real parts from 3D models can be challenging with traditional production technologies, or even additive manufacturing. This book will give you the know-how and skills to develop your projects from ideas to physical products, and overcome these obstacles.In ‘Making Your CAM Journey Easier with Fusion 360’, you'll discover how to set up a CAM program, pick the right tool, and optimize production. You'll learn the pros and cons of different production technologies, including turning, milling, laser cutting, and 3D printing, and understand how to choose the best option based on your needs. You’ll also explore the important computer-aided manufacturing tools that Fusion 360 offers through the use of examples and best practices.By the end of this book, you’ll understand the potential issues and drawbacks of different design components and apply workarounds to avoid design flaws.

Apache Flume: Distributed Log Collection for Hadoop. Design and implement a series of Flume agents to send streamed data into Hadoop

Steve Hoffman, Steven Hoffman

Instant GSON. Learn to create JSON data from Java objects and implement them in an application with the GSON library

Sandeep Patel

GSON is a specialized Java-based library for handling JSON data, developed by Google. GSON demonstrates an efficient use of CPU time, memory efficiency, the library, and developer productivity. This book will help you implement GSON in your Java project.Instant GSON is a practical, hands-on guide that provides you with all the implementation features of the GSON API through coded examples, which will help you take advantage of the real power that is behind the GSON API, and give you a good grounding to use it in your projects.Instant GSON starts with an introduction to the JSON data format and GSON library. It will take you through the configuration steps required to set up a GSON-based Java project. You will learn about the top features of the GSON library, which includes handling generic type and nested class objects in Java, implementing versioning support, exclusion strategies, and pretty printing. At the end of the book you will find some useful references to articles, blogs, and active communities.

Cognitive Computing with IBM Watson. Build smart applications using artificial intelligence as a service

Rob High, Tanmay Bakshi

Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases.This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems.Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.

Mastering Akka. A hands-on guide to build application using the Akka framework

Christian Baxter

For a programmer, writing multi-threaded applications is critical as it is important to break large tasks into smaller ones and run them simultaneously. Akka is a distributed computing toolkit that uses the abstraction of the Actor model, enabling developers to build correct, concurrent, and distributed applications using Java and Scala with ease. The book begins with a quick introduction that simplifies concurrent programming with actors. We then proceed to master all aspects of domain-driven design. We’ll teach you how to scale out with Akka Remoting/Clustering. Finally, we introduce Conductr as a means to deploy to and manage microservices across a cluster.

Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

Brian Lipp

Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You’ll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake.Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python. You’ll gain an understanding of notebooks and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you’ll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka. As you advance, you’ll learn how to deploy your resources using infrastructure as code and how to automate your workflows and code development. Since any data platform's ability to handle and work with AI and ML is a vital component, you’ll also explore the basics of ML and how to work with modern MLOps tooling. Finally, you’ll get hands-on experience with Apache Spark, one of the key data technologies in today’s market.By the end of this book, you’ll have amassed a wealth of practical and theoretical knowledge to build, manage, orchestrate, and architect your data ecosystems.

Distributed Computing with Python. Harness the power of multiple computers using Python through this fast-paced informative guide

Rasheedh B, Francesco Pierfederici

CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very important to improve the overall speed of applications.This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.