Learn how to improve your ETL workflows with Python and Pandas by using data source selection, vectorization, filtering, ... you can use the pandas.read_csv() function to load it into a DataFrame.

A comprehensive Python application that demonstrates declarative ETL (Extract, Transform, Load) processing using pandas. The application processes employee performance data and calculates bonuses ...

Compare pandas and pySpark for ETL in Python. ... such as CSV, Excel, JSON, SQL, and HDF5. Pandas offers a rich set of functionalities, such as data indexing, filtering, grouping, ...

To copy the CSV data to MongoDB, you must use the to_dict method of pandas and create JSON data (list of dictionaries) for inserting multiple records in MongoDB. Here’s the code: jsondata = ...