Learning Haskell data analysis : analyze, manipulate, and process datasets of varying sizes efficiently using Haskell

**Analyze, manipulate, and process datasets of varying sizes efficiently using Haskell** About This Book* Create portable databases using SQLite3 and use these databases to quickly pull large amounts of data into your Haskell programs. * Visualize data using EasyPlot and create publication-ready charts * An easy-to-follow guide to analyze real-world data using the most commonly used statistical techniques Who This Book Is ForIf you are a developer, analyst, or data scientist who wants to learn data analysis methods using Haskell and its libraries, then this book is for you. Prior experience with Haskell and a basic knowledge of data science will be beneficial. What You Will Learn* Learn the essential tools of Haskell needed to handle large data * Migrate your data to a database and learn to interact with your data quickly * Clean data with the power of Regular Expressions * Plot data with the Gnuplot tool and the EasyPlot library * Formulate a hypothesis test to evaluate the significance of your data * Evaluate the variance between columns of data using a correlation statistic and perform regression analysis In DetailHaskell is trending in the field of data science by providing a powerful platform for robust data science practices. This book provides you with the skills to handle large amounts of data, even if that data is in a less than perfect state. Each chapter in the book helps to build a small library of code that will be used to solve a problem for that chapter. The book starts with creating databases out of existing datasets, cleaning that data, and interacting with databases within Haskell in order to produce charts for publications. It then moves towards more theoretical concepts that are fundamental to introductory data analysis, but in a context of a real-world problem with real-world data. As you progress in the book, you will be relying on code from previous chapters in order to help create new solutions quickly. By the end of the book, you will be able to manipulate, find, and analyze large and small sets of data using your own Haskell libraries.

About This Book

• Discover how to configure and set up a secure OpenVPN
• Enhance user experience by using multiple authentication methods
• Delve into better reporting, monitoring, logging, and control with OpenVPN

Who This Book Is For

If you are familiar with TCP/IP networking and general system administration, then this book is ideal for you. Some knowledge and understanding of core elements and applications related to Virtual Private Networking is assumed.

What You Will Learn

• Identify different VPN protocols such as IPSec, PPTP, and OpenVPN
• Build your own PKI and manage certificates
• Deploy your VPN on various devices such as PCs, mobile phones, tablets, and more
• Differentiate between routed and bridged networks
• Enhance your VPN with monitoring and logging
• Authenticate against third-party databases, such as LDAP, or the Unix password file
• Troubleshoot an OpenVPN setup that is not performing correctly
• Understand the strengths, weaknesses, and future direction of OpenVPN

In Detail

This is an advanced guide that'll help you build secure Virtual Private Networks using OpenVPN. You will begin your journey with an exploration of OpenVPN, while looking at its modes of operation, its clients, its secret keys, and their format types. Next, the client-server mode is discussed and you will learn about the two modes of operation, using "tun" and "tap" devices.

This book then progresses to more advanced concepts, such as deployment scenarios in tun devices, securing your OpenVPN server by using iptables, scripting, and plugins, and using OpenVPN on mobile devices and networks.

Finally, you will analyze the strengths and weaknesses of the current OpenVPN implementation, understand its future directions, and delve into various troubleshooting techniques.

By the end of the book, you'll be able to build secure private networks across the Internet and hostile networks with ease.