Learning AngularJS AnimationsAngularJS is an extensive framework used to make full-blown websites with minimal code. Animations in AngularJS are achieved through CSS3 transitions, CSS animations, and JavaScript. AngularJS allows you to create animations with outstanding effects. There are a variety of effects that can be integrated with AngularJS and different ways to achieve the same result. Learning AngularJS Animations will help you choose a way that best fits your needs. This guide is a complete step-by-step tutorial to improving UX by using animations in AngularJS projects. The first few chapters explain the basics of CSS3 transitions and animations and all the available features such as CSS3 keyframes to be used together with AngularJS, also covering how to move beyond JavaScript animations. The book then shows you how to choose an appropriate approach for creating web apps. It provides you with an understanding of how AngularJS native directives can be animated with CSS or JavaScript and how to animate cust ...
Puppet EssentialsWith 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 CookbookPython 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. ...
Cassandra High AvailabilityApache 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. ...
A Practical Guide to Fedora and Red Hat Enterprise Linux, 6th EditionIn this book, one of the world's leading Linux experts brings together all the knowledge you need to master Fedora or Red Hat Enterprise Linux and succeed with it in the real world. Best-selling author Mark Sobell explains Linux clearly and effectively, focusing on skills you'll actually use as a user, programmer, or administrator. Now an even more versatile learning resource, this edition adds skill objectives at the beginning of each chapter. ...
Python for FinanceThe financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. ...
Mastering BitcoinWant 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 LearningLearn 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. ...
Android Security InternalsThere are more than one billion Android devices in use today, each one a potential target. Unfortunately, many fundamental Android security features have been little more than a black box to all but the most elite security professionals - until now.
In Android Security Internals, top Android security expert Nikolay Elenkov takes us under the hood of the Android security system. Elenkov describes Android security architecture from the bottom up, delving into the implementation of major security-related components and subsystems, like Binder IPC, permissions, cryptographic providers, and device administration. ...
C++ All-in-One For Dummies, 3rd EditionC++ is the workhorse of programming languages and remains one of the most widely used programming languages today. It's cross-platform, multi-functional, and updates are typically open-source. The language itself is object-oriented, offering you the utmost control over data usage, interface, and resource allocation. If your job involves data, C++ proficiency makes you indispensable.
C++ All-in-One For Dummies, 3rd Edition is your number-one handbook to C++ mastery. Author John Paul Mueller is a recognized authority in the computer industry, and your ultimate guide to C++. Mueller takes you through all things C++, including information relevant to the 2014 update. ...