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Blockchain Basics: A Non-Technical Introduction in 25 Steps
In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.
This book... | | Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on... | | Everyday Data Structures
A practical guide to learning data structures simply and easily
About This Book
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This book is a very practical, friendly, and useful guide that will help you analyze problems and choose the right data structures for your solution
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Learn to recognize data patterns for determining which...
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Pro RESTful APIs: Design, Build and Integrate with REST, JSON, XML and JAX-RS
Discover the RESTful technologies, including REST, JSON, XML, JAX-RS web services, SOAP and more, for building today's microservices, big data applications, and web service applications. This book is based on a course the Oracle-based author is teaching for UC Santa Cruz Silicon Valley which covers architecture, design best... | | Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often ... | | Translating Statistics to Make Decisions: A Guide for the Non-Statistician
Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticiansâand also statisticians who present statistical reports to non-statisticiansâmust avoid if statistical results are to be correctly used for... |
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| | Pro Python Best Practices: Debugging, Testing and Maintenance
Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.
Software engineering is difficult. Programs of any substantial length are... | | Mastering Kubernetes: Large scale container deployment and management
Master the art of container management utilizing the power of Kubernetes.
About This Book
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This practical guide demystifies Kubernetes and ensures that your clusters are always available, scalable, and up to date
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Discover new features such as autoscaling, rolling updates, resource quotas,...
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