For Web Scraping Why Python is the most popular programming language, let’s go in deeper.
Python is popular for Web Scraping because of the two popular open-source frameworks i.e Scrapy and Beautiful Soup. Scrapy is an open-source web crawling framework that is popular and written in Python on the other hand Beautiful Soup is the python library that is the most suitable library for Web Scraping. The work of the Scrapy is that it works as a web scraping and as well as it provides the extracting data through API, and Beautiful Soup work is that it creates the parse tree to extract data from the HTML on a website, it has many additional features like searching, navigating and modifying these parse trees.
Data Mining is also known as KDD (Knowledge Discovery in Data) is the process of extracting raw data into useful information done by companies to increase their sales, develop marketing strategies, and decrease cost. Data mining is used in many areas such as product development, healthcare, education, sales, and marketing, and it also helps businesses to clear about their future objectives to be achieved and make better decisions. Data Mining uses the mathematical algorithm for segmenting the data and building future opportunities for the business.
Data mining works in five steps. First, the organization collects the data and stores it in the data warehouses after that they store the data in a server or cloud, and next to the technical teams access the data and organize it. After collecting and organizing the data in a systematic manner the Data Mining Software roles comes in, it sorts the data based on the user’s results and after that, it shows the result in the form of graphical representation.
The most important data mining aspect is warehousing when companies centralize the data into one database or program. With the use of warehouse data, it segments the data and it analyzes and uses the data for a specific user.