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Podcasts
Quantum Computing Algorithms. Discover how a little math goes a long way
Navigate the quantum computing spectrum with this book, bridging the gap between abstract, math-heavy texts and math-avoidant beginner guides. Unlike intermediate-level books that often leave gaps in comprehension, this all-encompassing guide offers the missing links you need to truly understand the subject.Balancing intuition and rigor, this book empowers you to become a master of quantum algorithms. No longer confined to canned examples, you'll acquire the skills necessary to craft your own quantum code. Quantum Computing Algorithms is organized into four sections to build your expertise progressively.The first section lays the foundation with essential quantum concepts, ensuring that you grasp qubits, their representation, and their transformations. Moving to quantum algorithms, the second section focuses on pivotal algorithms — specifically, quantum key distribution and teleportation.The third section demonstrates the transformative power of algorithms that outpace classical computation and makes way for the fourth section, helping you to expand your horizons by exploring alternative quantum computing models.By the end of this book, quantum algorithms will cease to be mystifying as you make this knowledge your asset and enter a new era of computation, where you have the power to shape the code of reality.
Open Source Projects - Beyond Code. A blueprint for scalable and sustainable open source projects
Open source is ubiquitous in our society, with countless existing projects, and new ones emerging every day. It follows a scratch-your-own-itch model where contributors and maintainers drive the project forward. Through Open Source Projects - Beyond Code, you'll learn what it takes to develop a successful, scalable, and sustainable open source project. In this book, you’ll explore the full life cycle of open source projects, from inception, through launch, to maturity, and then discover how to sunset an open source project responsibly. Along the way, you’ll learn the concepts of licensing, governance, community building, ecosystem management, and growing maintainers and contributors, as well as understand how other open source projects have been successful or might have struggled in some areas. You can use this book as an end-to-end guide or reference material for the future. By the end of this book, you’ll be able to accelerate your career in open source. Your newly acquired skills will help you stay ahead of the curve even with the ever-evolving nature of technology.
A good integrated development environment can be the key to creating and delivering software on time and budget. Having a programming language and a development environment that runs on multiple platforms greatly eases and lessens the time taken on creating cross-platform applications. An IDE that is compatible with a legacy code base allows developers to leverage existing libraries in future applications.Getting Started with Lazarus is a practical, hands-on guide that provides you with a number of clear step-by-step exercises, which will help you take advantage of the power of the Lazarus IDE and Free Pascal to develop software that can be created for cross-platform use.Getting started with Lazarus discusses developing software with the open source cross platform integrated development environment and the Free Pascal language.We'll learn how to install Lazarus on various platforms such as Linux and Windows, as well as how to create new projects and convert existing Delphi projects to Lazarus projects by learning the differences between Delphi's Pascal syntax and Free Pascal's Object Pascal using a real world example project.We'll learn how to create custom components for use in Lazarus. We'll also learn the basics of documenting a Lazarus project using the Lazarus Documentation Editor.Finally we will learn that the IDE can be rebuilt using a different widget type, specifically GTK 2.Teach yourself the basics of programming with Lazarus and the open source IDE for the Free Pascal language.
ECMAScript 6 introduces several new Object-Oriented features that drastically change the way developers structure their projects. Web developers now have some advanced OOP functionality at their disposal to build large-scale applications in JavaScript.With this book, we'll provide you with a comprehensive overview of OOP principles in JavaScript and how they can be implemented to build sophisticated web applications. Kicking off with a subtle refresher on objects, we'll show you how easy it is to define objects with the new ES6 classes. From there, we'll fly you through some essential OOP principles, forming a base for you to get hands-on with encapsulation. You'll get to work with the different methods of inheritance and we'll show you how to avoid using inheritance with Duck Typing. From there, we'll move on to some advanced patterns for object creation and you'll get a strong idea of how to use interesting patterns to present data to users and to bind data. We'll use the famous promises to work with asynchronous processes and will give you some tips on how to organize your code effectively. You'll find out how to create robust code using SOLID principles and finally, we'll show you how to clearly define the goals of your application architecture to get better, smarter, and more effective coding. This book is your one-way ticket to becoming a JavaScript Jedi who can be counted on to deliver flexible and maintainable code.
Karthik Srinivasan, Henrik Lindstrom, Bharvi Dixit, Michael Lussier, ...
With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.