Learn Data Analysis with PythonGet started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it.
Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects.
If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. ...
Practical Python AI ProjectsDiscover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.
Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.
Build basic Python-based artificial intelligence (AI) applications; Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite; Create several types of projects using Python ...
Ruby Data ProcessingGain the basics of Ruby's map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex programs in 10 lines of Ruby code, an astonishingly small number. You will walk through problems and solutions which are effective because they use map, reduce, and select. As you read Ruby Data Processing, type in the code, run the code, and ponder the results. Tweak the code to test the code and see how the results change.
After reading this book, you will have a deeper understanding of how to break data-processing problems into processing stages, each of which is understandable, debuggable, and composable, and how to combine the stages to solve your data-processing problem. As a result, your Ruby coding will become more efficient and your programs will be more elegant and robust.
Discover Ruby data processing and how to do it using the map, reduce, and select functions; Develop compl ...
Learning ReactIf you want to learn how to build efficient user interfaces with React, this is your book. Authors Alex Banks and Eve Porcello show you how to create UIs with this small JavaScript library that can deftly display data changes on large-scale, data-driven websites without page reloads. Along the way, you'll learn how to work with functional programming and the latest ECMAScript features.
Developed by Facebook, and used by companies including Netflix, Walmart, and The New York Times for large parts of their web interfaces, React is quickly growing in use. By learning how to build React components with this hands-on guide, you'll fully understand how useful React can be in your organization.
Learn key functional programming concepts with JavaScript; Peek under the hood to understand how React runs in the browser; Create application presentation layers by mounting and composing React components; Use component trees to manage data and reduce the time you spend debugging applications; E ...
Learning Highcharts 4Highcharts is a popular type of web charting software that produces stunning and smooth animated HTML5 SVG graphs.
Joe Kuan continues the Learning Highcharts series, with the second edition comprising of brand new content and revised chapters. The book covers all the graphs supported in Highcharts 4. Step-by-step tutorials demonstrate how to create presentable charts with real-life data. The book also explores how to replicate industry charts from a financial brochure, sports article, 3D infographics, and even a Fiat 500 speedometer.
The second part of the book focuses on the operational side; APIs, events, and framework integration. The third part of the book looks into the server side and online services, how Highcharts/PhantomJS works, and demonstrates the usage and reviews the latest exciting development, Highcharts Cloud—an online chart service without any prior Highcharts or JavaScript experience needed. You just need to insert the data and it does the rest. ...
Learning NServiceBus, 2nd EditionBuilding complex software systems is hard, but it doesn't have to be! NServiceBus is a powerful, yet lightweight, open source messaging framework used to design distributed .NET enterprise systems. Entirely pluggable, yet simple to use, it can help you apply the principles of messaging and SOA to build robust, scalable, and maintainable systems.
This book is an essential guide that will help you become a messaging guru. From sending a simple message, to publishing events, to implementing complex long-running business processes, you'll learn everything you need to know to start building complex software systems in no time. ...
Linux and Solaris Recipes for Oracle DBAs, 2nd EditionLinux and Solaris Recipes for Oracle DBAs, 2nd Edition is an example–based book on managing Oracle Database under Linux and Solaris. The book is written for database administrators who need to get work done and lack the luxury of curling up fireside with a stack of operating-system documentation. What this book provides instead is task-oriented coverage designed around the needs of the Oracle Database Administrator. Find the right chapter. Look up the task to perform. See the solution. Implement the solution straight away in your own environment. Get the job done.
New in this edition is coverage of Oracle's own Solaris operating system. Oracle Corporation has been working diligently to bring commonality between Solaris and Linux, and this book takes advantage of those efforts to provide task-oriented solutions that work on common distributions of Linux such as Red Hat Enterprise Linux and Oracle Enterprise Linux while also accommodating the growing number of Oracle Solaris custome ...
Linux Shell Scripting EssentialsShell scripting is a quick method to prototype complex applications or problems. Shell scripts are a collection of commands to automate tasks, usually those for which the user has a repeated need, when working on Linux-based systems. Using simple commands or a combination of them in a shell can solve complex problems easily.
This book starts with the basics, including essential commands that can be executed on Linux systems to perform tasks within a few nanoseconds. You'll learn to use outputs from commands and transform them to show the data you require. Discover how to write shell scripts easily, execute script files, debug, and handle errors.
Next, you'll explore environment variables in shell programming and learn how to customize them and add a new environment. Finally, the book walks you through processes and how these interact with your shell scripts, along with how to use scripts to automate tasks and how to embed other languages and execute them. ...
Lucene 4 CookbookLucene 4 Cookbook is a practical guide that shows you how to build a scalable search engine for your application, from an internal documentation search to a wide-scale web implementation with millions of records. Starting with helping you to successfully install Apache Lucene, it will guide you through creating your first search application. Furthermore, the book walks you through analyzing your text and indexing your data to leverage the performance of your search application. As you progress through the chapters, you will learn to effectively search your indexes and successfully employ real-time searching.
The chapters start off with simple concepts and build up to complex solutions that should help you on your way to becoming a search engine expert. ...
Machine Learning Projects for .NET DevelopersMachine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You'll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you're new to F#, this book will give you everything you need to get started. If you're already familiar with F#, this is your chance to put the language into action in an exciting new context.
Along the way, you'll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you. ...