Adding Data Into Existing Database Via Pandas

[ManikanthaMaturu]

Adding Data Into Existing Database Via Pandas

The release of Data-addition-via-pandas at Vivify Healthcare is part of the company's research and development efforts to find the best technology stack that is both sustainable and affordable.
The company is constantly looking for ways to improve its offerings and stay ahead of the curve in the highly competitive healthcare industry. By Utilizing the leading and open-source platform for transforming; how people / organizations get benefited by using Data-addition-via-pandas via HTML and CSS.
Vivify Healthcare aims to deliver a top-notch user experience while keeping costs low and maintaining stability, security and compliance. Data-addition-via-pandasprovides a flexible, scalable solution that can be easily adapted to meet the changing needs of the business and its customers.

Repository: https://github.com/vivifyhealthcare/data-addition-via-pandas/tree/adding_data_into_existing_database

The script reads data from an One collection and inserts it into a another collection MongoDB. It extracts information about serial number, collection and inserts this data into a VoterMaster collection in the MongoDB database. The script also retrieves the last inserted identifier from the collection and assigns unique identifiers to the new documents being inserted. This script automates the process of populating the Existing database with data from the serial collection.