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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-how-to-extract-web-data-with-python-and-beautiful-soup/
课程评论：没有评论
课程名称：使用Python和Beautiful Soup提取网页数据 课程概述：Python是一种通用编程语言，在数据科学领域越来越受欢迎。全球各地的公司利用Python从数据中获取洞察，以获得竞争优势。网页数据提取（web scraping）是从互联网提取数据的术语。本课程将教您什么是网页数据提取，以及如何使用Python的Beautiful Soup库实现该功能。网页数据提取是一种重要的技术，广泛应用于数据挖掘、信息检索和基于文本的机器学习等众多工作流程的第一步。在《使用BeautifulSoup从HTML提取数据》这门课程中，您将掌握构建健壮、可维护的网页数据提取解决方案的能力，利用Python的Beautiful Soup库。 Beautiful Soup是一个纯Python库，用于从网站提取结构化数据。它可以解析HTML和XML文件中的数据，作为辅助模块与HTML进行互动，方式类似于使用其他开发工具与网页互动。随着互联网数据越来越丰富，数据已成为“新石油”，网页数据提取变得更为重要和实用，适用于各种应用场景。 网页数据提取涉及从网站提取信息，通常称为网页收集或网络数据提取。手动从网站复制文本并粘贴到本地系统的操作也算是网页数据提取，但它是一个手动任务。通常，网页数据提取是通过网页爬虫自动完成的。网页爬虫是通过HTTP协议连接到万维网的脚本，可以自动提取数据。 无论您是数据科学家、工程师，还是分析大量数据集的任何人，能够从网络中抓取数据都是一项有用的技能。当您在网上找到数据而无法直接下载时，使用Python进行网页数据提取是一项可以帮助您将数据提取成有用形式的技能，这些数据随后可以以各种方式导入和使用。
Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.The term used for extracting data from the web or internet is referred to as web scraping. You will Learn what web scraping is and how it can be achieved with the help of Python's beautiful soup library.Web scraping is an important technique that is widely used as the first step in many workflows in data mining, information retrieval, and text-based machine learning.In this course, Extracting Data from HTML with BeautifulSoup* you will gain the ability to build robust, maintainable web scraping solutions using the Beautiful Soup library in Python.Beautiful Soup is a pure Python library for extracting structured data from a website. It allows you to parse data from HTML and XML files. It acts as a helper module and interacts with HTML in a similar and better way as to how you would interact with a web page using other available developer tool.In the time when the internet is rich with so much data, and apparently, data has become the new oil, web scraping has become even more important and practical to use in various applications. Web scraping deals with extracting or scraping the information from the website. Web scraping is also sometimes referred to as web harvesting or web data extraction. Copying text from a website and pasting it to your local system is also web scraping. However, it is a manual task. Generally, web scraping deals with extracting data automatically with the help of web crawlers. Web crawlers are scripts that connect to the world wide web using the HTTP protocol and allows you to fetch data in an automated manner.Whether you are a data scientist, engineer, or anybody who analyzes vast amounts of datasets, the ability to scrape data from the web is a useful skill to have. Let's say you find data from the web, and there is no direct way to download it, web scraping using Python is a skill you can use to extract the data into a useful form that can then be imported and used in various ways.
