About the Book
Ever gone through hundred and ten resources for blockchain and still not able to figure out where to start off. Well this book would lay the foundation for most of the concepts that you would require to at least get started somewhere and scratch the surface of this hyped technology.
From the different underlying technicalities to the diversity of platforms, from the variety of scenarios where Blockchain fits to understanding when it would be an overkill, from learning the two most important platforms to getting you started for creating your own applications on top of them, from various simple humorous references to intriguing exercises, this book aims to not only make you feel comfortable with the technology but also confident enough to ponder more about it.
Minimum quantity for "Blockchain for Beginners: The Art of Decentralisation & Cryptography" is 1.
Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them. Through chaos engineering, you can proactively hunt for evidence of system weaknesses before they trigger a crisis. This practical book shows software developers and system administrators how to plan and run successful chaos engineering experiments.System weaknesses go beyond your infrastructure, platforms, and applications to include policies, practices, playbooks, and people. Author Russ Miles explains why, when, and how to test systems, processes, and team responses using simulated failures on Game Days. Youll also learn how to work toward continuous chaos through automation with features you can share across your team and organization.
Minimum quantity for "Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation" is 1.
this hands-on guide, you’ll learn how to write effective, idiomatic Python code
by leveraging its best features. You will go through Python’s core language
features and libraries, and this book shows you how to make your code shorter,
faster, and more readable at the same time.
book is great for newcomers; the content is easy to read and the lessons teach
idiomatic Python so that when a developer breaks out into the world from simple
projects to more advanced topics, they are already coding stylistically. The
book does a good job of covering the basics and offering the reader a solid
foundation of knowledge.
Minimum quantity for "Python for Beginners" is 1.
Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Kelsey Hightower, Brendan Burns, and Joe Bedawhove worked on Kubernetes at Google and beyondexplain how this system fits into the lifecycle of a distributed application.
Minimum quantity for "Kubernetes: Up and Running, Second Edition: Dive into the Future of Infrastructure" is 1.
If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation.
Minimum quantity for "Machine Learning for Email: Spam Filtering and Priority Inbox" is 1.
Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the applications business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.Youll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. Youll also examine issues around deployment and continuous delivery including scaling, security, and monitoring.
Minimum quantity for "Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure" is 1.
If youre like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems.
Minimum quantity for "Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling" is 1.
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. Youll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.
Minimum quantity for "Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming" is 1.
Deep learning has already achieved remarkable results in many fields. Now its making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields.
Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. Youll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicinean example that represents one of sciences greatest challenges.
Learn the basics of performing machine learning on molecular data
Understand why deep learning is a powerful tool for genetics and genomics
Apply deep learning to understand biophysical systems
Get a brief introduction to machine learning with DeepChem
Use deep learning to analyze microscopic images
Analyze medical scans using deep learning techniques
Learn about variational autoencoders and generative adversarial networks
Interpret what your model is doing and how its working
Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. You’ll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system.
Minimum quantity for "Learning Apache OpenWhisk: Developing Open Serverless Solutions" is 1.
Get started with Apache Flink, the open source framework that powers some of the worlds largest stream processing applications. With this practical book, youll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing.
Minimum quantity for "Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications" is 1.
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, youll understand how to apply Automated Machine Learning to your data right away.
Minimum quantity for "Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions" is 1.