Biznes IT
R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
Olgun Aydin
Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming.You will learn about the rules of RegEx and Xpath, key components for scraping website data. We will show you web scraping techniques, methodologies, and frameworks. With this book's guidance, you will become comfortable with the tools to write and test RegEx and XPath rules. We will focus on examples of dynamic websites for scraping data and how to implement the techniques learned. You will learn how to collect URLs and then create XPath rules for your first web scraping script using rvest library. From the data you collect, you will be able to calculate the statistics and create R plots to visualize them. Finally, you will discover how to use Selenium drivers with R for more sophisticated scraping. You will create AWS instances and use R to connect a PostgreSQL database hosted on AWS. By the end of the book, you will be sufficiently confident to create end-to-end web scraping systems using R.
Simeon Kostadinov
Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling.Your journey starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advanced and complex algorithms. We use them to explain how a typical state-of-the-art RNN model works. From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood.After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field.
Eric McLeroy
If you’re ready to take the next step in your system engineering career with the EX358, then this book is for you. Packed with all the knowledge and skills that you need to configure and maintain services and applications on the Red Hat Linux 8 (RHEL OS 8) platform, this book will help you ace the exam and thrive at work.Red Hat Certified Specialist in Service Management and Automation will help you build a solid foundation of the most recent and up-to-date exam requirements and practice questions.Throughout the course of the book, you’ll get hands-on experience with different technical processes needed to fully administer a Red Hat Enterprise Linux 8 system. This will include file storage, database management, direct configuration of applications, such as SMB shares, networking. You’ll be well equipped with the configuration of essential components like firewall, SELinux, and iSCSI while learning how to automate these tasks using Ansible Automation 2.9 in order to alleviate the burden of completing them by hand.By the end of this book, you'll have covered all essential topics to ace the Red Hat EX358 certification exam and add another feather to your career as a Red Hat Certified Specialist.
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
Alexander Leibzon, Yael Leibzon
Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different visualizations, and share the insights with your peers, then this is the ideal book for you.The book starts with essential Business Intelligence concepts that are at the heart of data visualizations. You will learn how to find your way round Redash and its rich array of data visualization options for building interactive dashboards. You will learn how to create data storytelling and share these with peers. You will see how to connect to different data sources to process complex data, and then visualize this data to reveal valuable insights. By the end of this book, you will be confident with the Redash dashboarding tool to provide insight and communicate data storytelling.
Redis Essentials. Harness the power of Redis to integrate and manage your projects efficiently
Maxwell Dayvson da Silva
Redis is the most popular in-memory key-value data store. It's very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need.Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry.We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps.After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance.
Aleksandar Pavic
In a variety of online project management tools, Redmine markets itself as offering flexibility. Choosing the right management tool can mean the difference between the success and failure of a project. Flexible project management tools bend themselves to fit your needs, whether that’s communication regarding a simple project, or collaboration, or more complex project methodology such as SCRUM, or an issue-code relationship, or the need of different methodology for your project. Whether you are project manager or system administrator, this book provides valuable recipes to get the best possible performance out of your team, organization, infrastructure, and Redmine itself. Through a series of carefully crafted recipes covering the nitty-gritty of Redmine, you’ll be guided through the installation of Redmine, as well as how to fine-tune and customize your Redmine installation. Finally, we walk you through integrating Redmine with other softwares and databases like Tortoise SVN and Visual Studio and troubleshooting Redmine.
Alex Bevilacqua
This book provides a thorough look at the tools available within Redmine to facilitate the development of plugins and extensions. Full of tips and tricks, a recurring case study is also used to help guide you through the various content area extensions and plugin helpers and to provide context and real-world examples of the concepts being covered. This book is intended for those who want to build custom functionality into the Redmine project management platform. If you're already comfortable with Ruby, Rails, and Redmine, but you aren't quite sure what to do next, this book will walk you through the basics of getting a plugin written and integrated into various key areas of Redmine.
Giuseppe Ciaburro, Pierre Paquay, Manoj Kumar, Shaikh...
Regression analysis is a statistical process which enables prediction of relationships between variables. The predictions are based on the casual effect of one variable upon another. Regression techniques for modeling and analyzing are employed on large set of data in order to reveal hidden relationship among the variables.This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. The first few chapters give an understanding of what the different types of learning are – supervised and unsupervised, how these learnings differ from each other. We then move to covering the supervised learning in details covering the various aspects of regression analysis. The outline of chapters are arranged in a way that gives a feel of all the steps covered in a data science process – loading the training dataset, handling missing values, EDA on the dataset, transformations and feature engineering, model building, assessing the model fitting and performance, and finally making predictions on unseen datasets. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. The practical examples are illustrated using R code including the different packages in R such as R Stats, Caret and so on. Each chapter is a mix of theory and practical examples.By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.