{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx": "hidden"
   },
   "source": [
    "[home](../index.ipynb) | [next: Numpy](numpy.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aperçu de l'écosystème\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trois ingrédients principaux\n",
    "\n",
    "- Numpy : implémentation performante de tableaux uniformes multi-dimensionnels\n",
    "- Scipy : implémentation de nombreux algorithmes scientifiques\n",
    "- Matplotlib : visualisation 2D/3D basée sur le tableaux numpy\n",
    "\n",
    "Mais aussi\n",
    "\n",
    "- Pandas : analyse et manipulation de données \"fast, powerful, flexible and easy to use\"\n",
    "\n",
    "Et beaucoup d'autres plus spécifiques...\n",
    "\n",
    "## Numpy\n",
    "\n",
    "http://docs.scipy.org/doc/numpy/reference/  \n",
    "http://docs.scipy.org/doc/numpy/user/index.html  \n",
    "http://wiki.scipy.org/Tentative_NumPy_Tutorial  \n",
    "http://wiki.scipy.org/NumPy_for_Matlab_Users\n",
    "\n",
    "## Scipy\n",
    "\n",
    "http://docs.scipy.org/doc/scipy/reference/  \n",
    "http://docs.scipy.org/doc/scipy/reference/tutorial/  \n",
    "http://scipy-lectures.github.io/ (parle aussi de Numpy et Matplotlib)\n",
    "\n",
    "## Matplotlib\n",
    "\n",
    "http://matplotlib.org/  \n",
    "http://www.loria.fr/~rougier/teaching/matplotlib/\n",
    "\n",
    "## Pandas\n",
    "\n",
    "https://pandas.pydata.org/  \n",
    "https://pandas.pydata.org/docs/getting_started/  \n",
    "https://pandas.pydata.org/docs/user_guide/\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}