Learning SciPy for Numerical and Scientific Computing, 2nd EditionSciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms.
The book starts with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-paced primer on array creation, manipulation, and problem-solving. You will also learn how to use SciPy in linear algebra, which includes topics such as computation of eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects such as definition and manipulation of functions, computation of derivatives, integration, interpolation, and regression. You will also learn how to use SciPy in signal processing and how applications of SciPy can be used to collect, organize, analyze, and interpret data. ...
Splunk EssentialsSplunk is a powerful tool that is used extensively to search, monitor, and analyze any machine data.
This book is designed to introduce you quickly to the benefits of using the Splunk Enterprise system. Understanding this technology will allow you to engage with your important data and ensure that it is collected, stored, managed, reported on, and utilized well to enable you to make better business decisions. By equipping you with this knowledge, you will be better prepared to tackle data issues in the fast-paced business world of today. You will learn about various vital topics such as data collection, managing apps, creating reports, and analyzing data using Splunk. You will also be equipped with skills to help you obtain a Twitter API key for use with the Twitter app for Splunk. ...
Custom SharePoint Solutions with HTML and JavaScriptCustom SharePoint Solutions with HTML and JavaScript shows you how to build and customize SharePoint solutions to suit a wide range of business needs. You don't need a background in Microsoft technologies; you'll learn how to rapidly build and customize sites entirely on the front end, starting with out-of-the-box features and extending them with HTML and JavaScript code.
The book starts with an introduction to working with SharePoint on the front end, and how this can help you avoid common pitfalls associated with deploying custom code on the server. You'll start by using SharePoint's browser-based tools to place and manipulate out-of-the-box web parts on a page. Then learn to inject some simple HTML and JavaScript to manipulate these web parts, and use JSLink to rapidly style and manipulate data in the List web part. You'll also see examples of how to build your own custom web parts using HTML, JavaScript and CSS. ...
PostgreSQL for Data ArchitectsPostgreSQL is an incredibly flexible and dependable open source relational database. Harnessing its power will make your applications more reliable and extensible without increasing costs. Using PostgreSQL's advanced features will save you work and increase performance, once you've discovered how to set it up.
PostgreSQL for Data Architects will teach you everything you need to learn in order to get a scalable and optimized PostgreSQL server up and running.
The book starts with basic concepts like installing PostgreSQL from source and covers theoretical aspects such as concurrency and transaction management. After this, you'll learn how to set up replication, use load balancing to scale horizontally, and troubleshoot errors.
Finally, you will get acquainted with useful tools available in the PostgreSQL ecosystem used for analyzing PostgreSQL logs, setting up load balancing, and recovery. ...
Learning RHEL NetworkingRed Hat Enterprise Linux (RHEL) is the most popular Linux distribution currently being used and can be deployed on many platforms. Enterprises that have a large number of systems need to be interconnected, configured, and managed effectively. RHEL networking lets you accomplish these tasks easily.
This is a highly-detailed guide to help with your deployments on RHEL 7 or CentOS 7. This book, based on RHEL 7.1, will introduce to you the fundamentals of networking your systems. You will learn the use of new consistent names to identify your network cards. Soon, you will move on to configuring the basic plumbing of your network, setting up time, network address assignment, and name resolution. Last, the focus moves to configuring the new kernel-based iSCSI target services on RHEL 7 and using the service to host storage area networks. ...
Bioinformatics Data SkillsLearn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.
At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started. ...
Machine Learning with R, 2nd EditionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.
With this book, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you'll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. ...
Derivatives Analytics with PythonDerivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate e ...
Learning to Love Data ScienceUntil recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse.
Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you'll find out how far data science reaches. ...
Microsoft Mapping, 2nd EditionThis revised edition of Microsoft Mapping includes the latest details about SQL Server 2014 and the new 3D and Streetside-capable map control for Windows 10 applications. It contains updated chapters on Microsoft Azure and Power Map for Excel plus a new chapter on Bing Maps for Universal Windows. The book tells a story, from beginning to end, of planning and deploying a single geospatial application built using Microsoft technologies from end-to-end.
Readers are expected to have basic familiarity with the fundamentals of developing for Microsoft platforms (some understanding of basic SQL, C#, .NET, and WCF); as readers work through the book they will build on their existing skills so that they will be able to deploy geospatial applications for social networking, data collection, enterprise management, or other purposes. ...