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Reading Excel Spreadsheets with Python, Flask, and Openpyxl

Blog post from Twilio

Post Details
Company
Date Published
Author
Lizzie Siegle
Word Count
1,400
Company Posts That Month
35
Language
English
Hacker News Points
-
Post removed?
No
Summary

Lizzie Siegle's post explores utilizing Python, Flask, and the Openpyxl library to read and compare NBA statistics from an Excel spreadsheet. The tutorial demonstrates setting up a Python and Flask development environment, acquiring a Twilio phone number, and using Ngrok to make the Flask app accessible online. It explains how to install necessary libraries and write a function that maps players and their statistics from an Excel sheet into a dictionary. The core of the application is a Flask route that processes incoming SMS messages, parses player names and requested statistics, and compares the data before sending a response via Twilio. The post also encourages readers to explore further applications of Openpyxl for various data types and concludes with links to additional resources and the completed code on GitHub.

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