{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# 2A.eco - Rappel de ce que vous savez d\u00e9j\u00e0 mais avez peut-\u00eatre oubli\u00e9\n", "\n", "[pandas](http://pandas.pydata.org/) et [numpy](http://www.numpy.org/) sont essentiels pour manipuler les donn\u00e9es. C'est ce que rappelle ce notebook. Voir aussi [Essential Cheat Sheets for Machine Learning and Deep Learning Engineers](https://startupsventurecapital.com/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5)."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"data": {"text/html": ["
\n", ""], "text/plain": ["\n", " | ambiance | \n", "nom | \n", "note | \n", "type | \n", "
---|---|---|---|---|
0 | \n", "9 | \n", "Little Pub | \n", "7.0 | \n", "Bar | \n", "
1 | \n", "2 | \n", "Le Corse | \n", "8.0 | \n", "Sandwicherie | \n", "
2 | \n", "1 | \n", "Caf\u00e9 Caumartin | \n", "NaN | \n", "Bar | \n", "