In Python there's a module that helps you parse data. Data can be in many forms (files, tables, excel, sql, json). There exists so many data sources for historic reasons.
That module to work with data is named the pandas module.
You may know you can use the Pandas module for data analysis. But did you know there are many ways to read data?
pd.read_csv(filename) pd.read_table(filename) pd.read_excel(filename) pd.read_sql(query, connection_object) pd.read_json(json_string) pd.read_html(url) pd.read_clipboard()
Yes, you can read data from many sources. These methods allow you to quickly grab your data
#!/usr/bin/python3 import pandas as pd data = pd.read_csv('yourfile.csv', header=None)
If you are using MySQL as source
#!/usr/bin/python3 db = MySQLDatabase(DATABASE_HOST, DATABASE_USER, DATABASE_PASSWORD, DATABASE_NAME) db_work_view = db.get_work_view() connection = db_work_view._db_connection df_people = pd.read_sql('select * from people', connection)
Reading an excel file
df = pd.read_excel('File.xlsx', sheetname='Sheet1')
Well you get the idea. Pandas allows you to quickly fetch data from different data sources. It includes most of the existing data sources.