Compartir
Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data (en Inglés)
Kyran Dale
(Autor)
·
O'Reilly Media
· Tapa Blanda
Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data (en Inglés) - Dale, Kyran
S/ 200,38
S/ 400,76
Ahorras: S/ 200,38
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 19 de Junio y el
Miércoles 03 de Julio.
Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.
Reseña del libro "Data Visualization With Python and Javascript: Scrape, Clean, Explore, and Transform Your Data (en Inglés)"
How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries
