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Mastering JavaScript Design Patterns
Mastering JavaScript Design Patterns

Applying design patterns to JavaScript code creates more reliable and maintainable code. In this book, you will explore different design patterns and learn where and how to implement them with the help of detailed examples. In the first part of the book, we start off with an introduction to design patterns, and then move on to creating classical structures that are used to organize code. Next, we look at the creational, structural, and behavioral patterns. The second part of the book dives into patterns used for functional programming, model view patterns, patterns to build web applications, and messaging patterns. A number of very interesting advanced JavaScript patterns such as dependency injection and live postprocessing are also covered. By the end of this book, you will learn to identify places where a pattern would improve code readability and maintainability. ...
Yii Project Blueprints
Yii Project Blueprints

The Yii framework is a high-performance, fast, open source, and a rapid development PHP framework that can be used to develop modern web applications. It provides the toolkit for developing both personal projects and enterprise applications. Yii's component-based architecture lets developers build modules so that they aren't customizing the underlying code base and so that anything they build is easy to use in different projects. This book is a step-by-step guide to developing reusable real-world applications using the Yii framework. The book will guide you through several projects from the project conception through to planning your project and implementation. ...
Puppet Essentials
Puppet Essentials

With this book, you'll be up and running with using Puppet to manage your IT systems. Dive right in with basic commands so that you can use Puppet right away, and then blitz through a series of illustrative examples to get to grips with all the most important aspects and features of Puppet. Install Puppet, write your first manifests, and then immediately put the Puppet tools to real work. Puppet Essentials reveals the innovative structure and approach of Puppet through step-by-step instructions to follow powerful use cases. Learn common troubleshooting techniques and the master/agent setup as well as the building blocks for advanced functions and topics that push Puppet to the limit, including classes and defined types, modules, resources, and leveraging the flexibility and expressive power implemented by Facter and the Hiera toolchain. ...
scikit-learn Cookbook
scikit-learn Cookbook

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across. The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets. ...
IPython Notebook Essentials
IPython Notebook Essentials

In data science, it is difficult to present interesting visual or technical content, as it involves scientific notations that are not easy to type in a normal document format. IPython provides a web-based UI called Notebook, which creates a working environment for interactive computing that combines code execution with computational documents. IPython Notebook makes the task simpler as it was developed for scientific programming to solve larger problems through a series of smaller programs. IPython Notebook is used to learn Python in a fun and interactive way and to do some serious parallel / technical computing. The book begins with an introduction to the efficient use of IPython Notebook for interactive computation. The book then focuses on the integration of technologies such as matplotlib, pandas, and SciPy. The book is aimed at empowering you to work with IPython Notebook for interactive computing, configuring it, creating your own notebooks / research documents. You will learn ...
Cassandra High Availability
Cassandra High Availability

Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes supporting petabytes of data. This book offers readers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how the architecture of Apache Cassandra allows it to achieve 100 percent uptime when other systems struggle to do so. You'll have an excellent understanding of data distribution, replication, and Cassandra's highly tunable consistency model. This is followed by an in-depth look at Cassandra's robust support for multiple data centers, and how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you'll find out how to steer clear of common antipatterns and take advantage of Cassandra's ability to fail gracefully. ...
Advanced Quantitative Finance with C++
Advanced Quantitative Finance with C++

This book will introduce you to the key mathematical models used to price financial derivatives, as well as the implementation of main numerical models used to solve them. In particular, equity, currency, interest rates, and credit derivatives are discussed. In the first part of the book, the main mathematical models used in the world of financial derivatives are discussed. Next, the numerical methods used to solve the mathematical models are presented. Finally, both the mathematical models and the numerical methods are used to solve some concrete problems in equity, forex, interest rate, and credit derivatives. The models used include the Black-Scholes and Garman-Kohlhagen models, the LIBOR market model, structural and intensity credit models. The numerical methods described are Monte Carlo simulation (for single and multiple assets), Binomial Trees, and Finite Difference Methods. You will find implementation of concrete problems including European Call, Equity Basket, Currency Eur ...
Mastering Bitcoin
Mastering Bitcoin

Want to join the technological revolution that's taking the world of finance by storm? Mastering Bitcoin is your guide through the seemingly complex world of bitcoin, providing the requisite knowledge to help you participate in the internet of money. Whether you're building the next killer app, investing in a startup, or simply curious about the technology, this practical book is essential reading. Bitcoin, the first successful decentralized digital currency, is still in its infancy and it's already spawned a multi-billion dollar global economy. This economy is open to anyone with the knowledge and passion to participate. Mastering Bitcoin provides you with the knowledge you need. This book includes: A broad introduction to bitcoin--ideal for non-technical users, investors, and business executives; An explanation of the technical foundations of bitcoin and cryptographic currencies for developers, engineers, and software and systems architects; Details of the bitcoin decentralized net ...
Thoughtful Machine Learning
Thoughtful Machine Learning

Learn how to apply test-driven development (TDD) to machine-learning algorithms—and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks. Machine-learning algorithms often have tests baked in, but they can't account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the risk of errors with TDD and write clean, stable machine-learning code. If you're familiar with Ruby 2.1, you're ready to start. ...
Learning Agile
Learning Agile

Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile" can be tricky. This practical book helps you sort it out, first by grounding you in agile's underlying principles, then by describing four specific-and well-used-agile methods: Scrum, extreme programming (XP), Lean, and Kanban. Each method focuses on a different area of development, but they all aim to change your team's mindset—from individuals who simply follow a plan to a cohesive group that makes decisions together. Whether you're considering agile for the first time, or trying it again, you'll learn how to choose a method that best fits your team and your company. ...
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