{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Etape 1 : Préparation d'une solution par dissolution\n",
    "\n",
    "**Notions abordées**\n",
    "\n",
    "- Commentaires\n",
    "- Création d'une variable\n",
    "- Affectation d'une valeur à une variable\n",
    "- Affichage de la valeur d'une variable\n",
    "- Format d'affichage d'un nombre\n",
    "- Ecriture d'une chaîne de caractères\n",
    "\n",
    "\n",
    "**Référence pyspc**\n",
    "\n",
    "- [Structure d'un programme](https://pyspc.readthedocs.io/fr/latest/05-bases/01-structure-programme.html)\n",
    "- [Affectation variables et affichage des résultats](https://pyspc.readthedocs.io/fr/latest/05-bases/02-variables_input_print.html)\n",
    "\n",
    "**Consigne** : \n",
    "\n",
    "Etudier le programme ci-dessous puis effectuer la mise en situation présentée dans la dernière cellule.\n",
    "\n",
    "-----------"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Contexte : Un technicien de laboratoire aurait besoin d'un petit programme en Python afin de calculer facilement la masse m de soluté à peser pour fabriquer une solution de concentration en soluté apporté C et de volume V. Aidez-le à réaliser ce petit programme!!\n",
    "\n",
    "![Préparer une solution par dissolution d'un solide](attachment:image.png)\n",
    "\n",
    "\n",
    "source : https://www.schoolmouv.fr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pour commencer, il faut définir les différents objets utiles pour faire le calcul. Compléter les deux cellules vides ci-dessous en vous aidant du modèle de la cellule de la masse molaire. Ne pas oublier d'exécuter chaque cellule pour vérifier que votre code est correct!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "M = 58.5 g/mol\n",
      "M = 58.5 g/mol\n",
      "M = 5.85e+01 g/mol\n"
     ]
    }
   ],
   "source": [
    "# ligne de code permettant de définir la variable M et\n",
    "# de lui attribuer une valeur.\n",
    "\n",
    "M=58.5   # masse molaire en g/mol\n",
    "\n",
    "\n",
    "# ligne de code permettant d'afficher la valeur de la \n",
    "# variable M\n",
    "\n",
    "print ('M =',M,'g/mol')\n",
    "\n",
    "\n",
    "# ligne de code permettant d'afficher la valeur de la \n",
    "# variable M en écriture décimale avec une décimale\n",
    "\n",
    "print('M = {0:.1f}'.format(M),'g/mol') \n",
    "\n",
    "\n",
    "# ligne de code permettant d'afficher la valeur de la \n",
    "# variable en écriture scientifique avec deux décimales \n",
    "# donc trois chiffres significatifs \n",
    "\n",
    "print('M = {0:.2e}'.format(M),'g/mol')   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V = 0.2500 L\n"
     ]
    }
   ],
   "source": [
    "V=0.25         # volume en L\n",
    "print('V = {0:.4f}'.format(V),'L') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C = 1.0e-01 mol/L\n"
     ]
    }
   ],
   "source": [
    "C=0.1         # Concentration molaire en mol/l\n",
    "print('C = {0:.1e}'.format(C),'mol/L')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Maintenant, il reste à écrire dans la cellule suivante les lignes de code permettant de calculer puis d'afficher la valeur de la masse de soluté en g."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m = 1.5e+00 g\n"
     ]
    }
   ],
   "source": [
    "m=C*M*V\n",
    "print('m = {0:.1e}'.format(m),'g')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Mise en situation**\n",
    "\n",
    "Réaliser sous Notebook Jupyter un programme permettant de calculer et\n",
    "d’afficher la valeur de la vitesse d’une voiture (avec 3 chiffres\n",
    "significatifs en écriture scientifique) à partir d’une distance\n",
    "parcourue et d’une durée."
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Format de la Cellule Texte Brut",
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
