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        <description>dev data jupyter python csv

Jupyter Notebook: Charger des données au format CSV


import pandas as pd

# Load CSV to data frame
df = pd.read_csv(&quot;./data.csv&quot;, encoding=&quot;utf8&quot;, header=None, sep=&quot;,&quot;)


La documentation de pandas détaille les différents paramètres de la méthode à l&#039;</description>
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        <description>dev python jupyter graphique todo

Jupyter: Générer des graphiques avec matplotlib

Références

	*  &lt;https://towardsdatascience.com/making-plots-in-jupyter-notebook-beautiful-more-meaningful-23c8a35c0d5d&gt;
	*  &lt;https://numpy.org/doc/stable/user/absolute_beginners.html#plotting-arrays-with-matplotlib&gt;</description>
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        <description>dev python jupyter notebook

Jupyter Notebook

Un notebook est un environnement web interactif proposant un mélange de texte et de code pouvant être évalué en direct par un moteur ou interpréteur (Julia, Python, R etc).

Installation

Création d&#039;un environnement virtuel:


python -m venv jupyter-notebook</description>
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        <description>software python jupyter jupyterlab notebook install docker todo

Installer Jupyter via Docker

Il existe plusieurs images, la version scipy-notebook inclus des packages populaires de l&#039;écosystème scientifique Python:


docker pull jupyter/scipy-notebook:python-3.9.6
docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v &quot;${PWD}&quot;:/home/jovyan/work jupyter/scipy-notebook:python-3.9.6</description>
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        <description>dev python jupyter

Jupyter notebook

Le nom Jupyter vient de la contraction des 3 principaux langages utilisés dans le domaine de la data science: Julia, Python et R. L&#039;extension d&#039;un fichier notebook produit par Jupyter est .pynb pour IPython NoteBook, ancien nom du projet Jupyter.</description>
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