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Expert Python Programming, 4th Edition
Expert Python Programming, 4th Edition

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Become familiar with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes liv ...
Learning ZeroMQ
Learning ZeroMQ

Even connecting a few programs across a few sockets is plain nasty when you start to handle real life situations. Trillions? The cost would be unimaginable. Connecting computers is so difficult that software and services to do this is a multi-billion dollar business. So today we're still connecting applications using raw UDP and TCP, proprietary protocols, HTTP, Websockets. It remains painful, slow, hard to scale, and essentially centralized. To fix the world, we needed to do two things. One, to solve the general problem of "how to connect any code to any code, anywhere". Two, to wrap that up in the simplest possible building blocks that people could understand and use easily. It sounds ridiculously simple. And maybe it is. That's kind of the whole point. If you are a programmer and you aim to build large systems, in any language, then Code Connected is essential reading. Code Connected Volume 1 takes you through learning ZeroMQ, step-by-step, with over 80 examples. You will learn t ...
C# Programming for Absolute Beginners
C# Programming for Absolute Beginners

Get started using the C# programming language. Based on the author's 15 years of experience teaching beginners, this book provides you with a step-by-step introduction to the principles of programming, or rather, how to think like a programmer. The task-solution approach will get you immersed, with minimum theory and maximum action. What You Will Learn: Understand what programming is all about; Write simple, but non-trivial, programs; Become familiar with basic programming constructs such as statements, types, variables, conditions, and loops; Think like a programmer and combine these programming constructs in new ways; Get to know C# as a modern, mainstream programming language, and Visual Studio as one of the world's most popular programming tools. ...
Beginning Azure Cognitive Services
Beginning Azure Cognitive Services

Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization. The authors begin by introducing the tools and describing the steps needed to invoke libraries to analyze structured and unstructured text, speech, and pictures, and you will learn to create interactive chatbots using the Cognitive Services libraries. Each chapter contains the information you need to implement artificial intelligence (AI) via Azure Cognitive Services in your personal and professional projects. ...
Advanced Forecasting with Python
Advanced Forecasting with Python

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's DeepAR model. Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It concludes with reflections on model selection such as benchmark scores vs. understandability of models vs. compute time, and automated retraining and updating of models. Each of the models presented in this book is covered in depth, with an intuitive simple explanation of the model, a m ...
Lean Software Systems Engineering for Developers
Lean Software Systems Engineering for Developers

Graduate to the next level of your software development career, learning the tools you need to successfully manage the complexity of modern software systems. Whether you are a developer at a small software company, or one of many developers at a large enterprise, your success directly correlates to the ability of your development team to rapidly respond to change. What makes this task challenging in today's world, is that the technical challenges we as developers strive to overcome are becoming increasingly more complex. We have to consider many more options when it comes to things like requirements, solution hosting, support, pace of change, and generally with less time and warning. A good developer knows that it is critical to manage every aspect of software development from soup to nuts, and understands that when details and decisions are left to chance, outcomes can be negatively impacted. Poor planning can result in increased errors, substandard quality, budget and schedule ...
Quantum Machine Learning: An Applied Approach
Quantum Machine Learning: An Applied Approach

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qisk ...
How To Code in React.js
How To Code in React.js

This open book is an introduction to React that works from the foundations upward. Each chapter takes you a little deeper into the React ecosystem, building on your previous knowledge. Along the way, you'll learn how to maintain internal state, pass information between parts of an application, and explore different options for styling your application. Whether you are completely new to React or if you've worked with it before, this series will be accessible to you. Every chapter is self contained, so you can jump between chapters or skip whole sections. The book is designed for you to take a concept and explore it by building a small project that mirrors what you will encounter in everyday development using React. ...
Java to Kotlin
Java to Kotlin

It takes a week to travel the 8,000 miles overland from Java to Kotlin. If you're an experienced Java developer who has tried the Kotlin language, you were probably productive in about the same time. You'll have found that they do things differently in Kotlin, though. Nullability is important, collections are different, and classes are final by default. Kotlin is more functional, but what does that mean, and how should it change the way that you program? And what about all that Java code that you still have to support? Your tour guides Duncan and Nat first made the trip in 2015, and they've since helped many teams and individuals follow in their footsteps. Travel with them as they break the route down into legs like Optional to Nullable, Beans to Values, and Open to Sealed Classes. Each explains a key concept and then shows how to refactor production Java to idiomatic Kotlin, gradually and safely, while maintaining interoperability. The resulting code is simpler, more expressi ...
OpenShift for Developers, 2nd Edition
OpenShift for Developers, 2nd Edition

Ready to build cloud native applications? Get a hands-on introduction to daily life as a developer crafting code on OpenShift, the open source container application platform from Red Hat. Creating and packaging your apps for deployment on modern distributed systems can be daunting. Too often, adding infrastructure value can complicate development. With this practical guide, you'll learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run code. You'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies and practices that you can apply to code in any language. Learn the development cycles for building and deploying on OpenShift, and the tools that drive them; Use OpenShift to ...
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