Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, 2nd Edition contains many ready-to-use, focused recipes

The open source revolution and containerization have fundamentally transformed the .NET landscape. No longer confined to the Windows ecosystem, your .NET skills are now the direct path to building powerful applications directly on OpenShift. OpenShift for .NET Developers is your essential guide to becoming a first-class citizen in the OpenShift world using your existing .NET expertise. I

If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decompose a sound into its harmonics, modify the harmonics,

Biopython is a collection of freely available Python modules for computational molecular biology. Python is an object oriented, interpreted, flexible language that is widely used for scientific computing. Python is easy to learn, has a very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Since its inception in 2000, Biopython has been continuously devel

This book is an inspirational message about what is possible and practical in the name of learning through mobile media. We present stories from a diverse set of educators, a microcosm of the landscape of mobile media learning. Each author has found a way to create something new and beautiful in their own world. And though their results are exceptional, their surroundings are not. Most a

As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration

The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures offer new distributed primitives that require a different set of practices than many developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huss provide common reusable patterns and

The business of the future - your business - will be a "thinking" business, or what IBM calls a cognitive business. A cognitive business uses its data assets to gain competitive advantage. The technology that helps you do all the things you want to do with your data assets is called information technology (IT). One of the main components of business or enterprise IT is data storage. A re

The modern data stack has evolved rapidly in the past decade. Yet, as enterprises migrate vast amounts of data from on-premises platforms to the cloud, data teams continue to face limitations executing data transformation at scale. Data transformation is an integral part of the analytics workflow-but it's also the most time-consuming, expensive, and error-prone part of the process. In th

RPA is the use of computer software "robots" to handle repetitive, ­rule-based digital tasks, interacting with applications and information sources the same way humans do now. At its most basic level, it's pretty impressive technology, and it gets more powerful all the time. The newest advances have robots not only handling more complex functions, but also they're learning to make some