In this tutorial, we'll learn Collecting, transforming and cleaning JSTOR metadata in Python. Parsing meta-data from JSTOR data for research database using the ElementTree XML.
JSTOR database is one of the leading sources of research articles in more than 50 disciplines of science. In Data for Research section, researchers can access datasets for use in research and teaching about the articles and books released in the library. Data available through the service include metadata, n-grams, and word counts for most articles, book chapters, research reports, and pamphlets on JSTOR. However, the output of the data requests are not simple csv. or txt. documents, but XML files that require some processing and cleaning to work effectively with the data. In R, the package Jstor, released in the mid of 2020, made the whole process far simpler.
To make accessing larger volumes of data for data scientists and researchers easier, in this article, I show the python code for parsing the XML outputs, explain the process of collecting the data from JSTOR data for research database, and show a nice application of this type of data.
In this post, we'll learn top 30 Python Tips and Tricks for Beginners
You can learn how to use Lambda,Map,Filter function in python with Advance code examples. Please read this article
This video on 'Python Database Connection', you will learn how to establish a connection between Python and MySQL DB and perform CRUD operations on it.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.