Описание: Upgrade your skillset, succeed at work, and above all, avoid the many headaches that come with modern front-end development. Simplify your codebase with hands-on examples pulled from real-life applications. Master the mysteries of asynchronous state management, detangle puzzling race conditions, and send spaceships soaring through the cosmos.
Автор: Hajba Gabor Laszlo Название: Website Scraping with Python: Using Beautifulsoup and Scrapy ISBN: 1484239245 ISBN-13(EAN): 9781484239247 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own.
Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping.
By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks.
What You'll Learn
Install and implement scraping tools individually and togetherRun spiders to crawl websites for data from the cloudWork with emulators and drivers to extract data from scripted sites
Who This Book Is For
Readers with some previous Python and software development experience, and an interest in website scraping.
Описание: By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python.
Название: Data Wrangling with JavaScript ISBN: 1617294845 ISBN-13(EAN): 9781617294846 Издательство: Неизвестно Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Summary
Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end.
About the Book
Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage With this hands-on guide, you'll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You'll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit.
What's inside
Establishing a data pipeline
Acquisition, storage, and retrieval
Handling unusual data sets
Cleaning and preparing raw dataInteractive visualizations with D3
About the Reader
Written for intermediate JavaScript developers. No data analysis experience required.
About the Author
Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript.
Table of Contents
Getting started: establishing your data pipeline
Getting started with Node.js
Acquisition, storage, and retrieval
Working with unusual data
Exploratory coding
Clean and prepare
Dealing with huge data files
Working with a mountain of data
Practical data analysis
Browser-based visualization
Server-side visualization
Live data
Advanced visualization with D3
Getting to production
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