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Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and RAbout This Book·This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way·Work with different types of datasets, and reshape the layout of your data to make it easier for analysis·Get simple examples and real-life data wrangling solutions for data pre-processingWho This Book Is ForIf you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial.What You Will Learn·Read a csv file into python and R, and print out some statistics on the data·Gain knowledge of the data formats and programming structures involved in retrieving API data·Make effective use of regular expressions in the data wrangling process·Explore the tools and packages available to prepare numerical data for analysis·Find out how to have better control over manipulating the structure of the data·Create a dexterity to programmatically read, audit, correct, and shape data·Write and complete programs to take in, format, and output data setsIn DetailAround 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them.You'll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You'll work with different data structures and acquire and parse data from various locations. You'll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases.The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the end of the book, you'll have a thorough understanding of all the data wrangling concepts and how to implement them in the best possible way.Style and approachThis is a practical book on data wrangling designed to give you an insight into the practical application of data wrangling. It takes you through complex concepts and tasks in an accessible way, featuring information on a wide range of data wrangling techniques with Python and R

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“It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.”-?Charles Darwin As the industry is moving towards maximum digitization there is a consensus that DevOps practices help you deliver software faster, more reliable, and with fewer errors. DevOps is set of practices and cultural values that have been proven to help organizations of all sizes improve their software release cycles, software quality, security, and ability to get rapid feedback on product development. This book is aimed at Consultant, Project Manager and people from techno-commercial profiles who would be explaining the benefits of DevOps to the client, internal leadership or project teams. As the crux of DevOps methodology lies in the cultural transformation of the organization, people who are stakeholders in shaping this change must understand the overall alignment of business goals with this methodology. You would get to explore: ·What is DevOps·Relationship between Agile, Scrum, Kanban and DevOps·DevOps Adoption:? Organizational cultural Change·DevOps Ecosystem·Emerging Trends·DevOps success stories In the Bonus Booklet you will find out: ·DevOps Job Market overview·Insights into DevOps job application·People to follow on twitter “Grab your copy today along with Bonus DevOps Booklet”

An in-depth guide to exploring the design, architecture, and techniques behind building sophisticated, scalable, and maintainable single-page applications in JavaScriptAbout This Book·Build large-scale, feature-complete SPAs by leveraging widely used tools and techniques.·Gain a solid understanding of architecture and SPA design to build applications using the library or framework of your choice.·Explore the various facets of SPA development to build web apps that are fast, scalable, and easy to test.Who This Book Is ForThis book is ideal for JavaScript developers who want to build complex single-page applications in JavaScript. Some basic understanding of SPA concepts will be helpful but not essential.What You Will Learn·Organize your development environment using the command line with NPM, Bower, and Grunt.·Choose an accurate design pattern for your app·Understand modular JavaScript programming and Node.js·Interact with a REST API using JavaScript and AJAX with practical examples·Build a single page application using the MEAN stack·Connect your app across popular social media platforms such as Facebook, Twitter, and LinkedIn·Test your app, both on the server side and in views·Prepare your app for the real world and deploy it to HerokuIn DetailSingle-page web applications—or SPAs, as they are commonly referred to—are quickly becoming the de facto standard for web app development. The fact that a major part of the app runs inside a single web page makes it very interesting and appealing. Also, the accelerated growth of browser capabilities is pushing us closer to the day when all apps will run entirely in the browser.This book will take your JavaScript development skills to the next level by teaching you to create a single-page application within a full-stack JavaScript environment. Using only JavaScript, you can go from being a front-end developer to a full-stack application developer with relative ease.You will learn to cross the boundary from front-end development to server-side development through the use of JavaScript on both ends. Use your existing knowledge of JavaScript by learning to manage a JSON document data store with MongoDB, writing a JavaScript powered REST API with Node.js and Express, and designing a front-end powered by AngularJS.This book will teach you to leverage the MEAN stack to do everything from document database design, routing REST web API requests, data-binding within views, and adding authentication and security to building a full-fledged, complex, single-page web application.In addition to building a full-stack JavaScript app, you will learn to test it with JavaScript-powered testing tools such as Mocha, Karma, and Jasmine. Finally, you will learn about deployment and scaling so that you can launch your own apps into the real world.Style and approachFollowing a structured approach, this book helps readers gain expertise in SPA development. Its thorough coverage of SPA architecture and design, along with practical use cases, provides readers with a clear path to building applications with the library of their choice. For readers who are afraid to take the plunge straightaway, the book also offers step-by-step guidance on developing a complex web app.