Analyze Google Sheets data with Python using Google Collab | Python in Practice #5
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How to analyze spreadsheet data with Python?
In this video, Kizzy teaches you how to work with a Google Sheets spreadsheet using the Python programming language. You can open a spreadsheet in your Google Drive, create new spreadsheets, read data from specific cells, write or modify data in cells, create and modify pages (tabs) within the spreadsheet, and even export and import all the spreadsheet data to a Pandas dataframe! 🤯 In short, whatever you want to do with spreadsheet data in Python, including automating the spreadsheet, you can achieve it using the GSpread package and the techniques Kizzy teaches in this video.
The most amazing thing is that you can analyze data from Google Sheets spreadsheets directly in the cloud using Google Colab to access your Google Drive and run your Python code!
0:00 Why use Google Colab to access Google Sheets
1:42 Creating a notebook and preparing the environment with GSpread
2:55 Authentication in Google Drive
4:10 Accessing an existing spreadsheet in Google Drive
5:40 Accessing a specific page
6:20 Editing specific cells
8:00 Integrating the spreadsheet with a Pandas dataframe
13:40 Final considerations and possibilities
📌 Useful links:
GSpread - https://gspread.readthedocs.io/en/lat...
Video code - https://github.com/programacaodinamic...
https://colab.research.google.com/not...
– Related videos:
1. How to use Google Collaborate to Analyze Data? 1. Python Data Analysis Series: • Análise de Dados em Python
2. Pandas Tips Series: • Dicas de Pandas | DataFrames em Python | D...
3. Python in Practice Series: • Python na Prática
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En esta página del sitio puede ver el video en línea Analyze Google Sheets data with Python using Google Collab | Python in Practice #5 de Duración 14 minuto 38 segunda en buena calidad , que subió el usuario Programação Dinâmica 19 septiembre 2020, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 127,140 veces y le gustó 10 mil a los espectadores. Disfruta viendo!
