{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Préparation d'une solution par dissolution (version élève)\n",
    "\n",
    "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",
    "![pre-parer-une-solution-par-dissolution-d-un-solide-img02.png](attachment:pre-parer-une-solution-par-dissolution-d-un-solide-img02.png)\n",
    "\n",
    "source : https://www.schoolmouv.fr"
   ]
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    ":download:`Télécharger le pdf <./dissolution_eleve.pdf>`\n",
    "\n",
    ":download:`Télécharger le notebook <./dissolution_eleve-download.ipynb>`\n",
    "\n",
    ":download:`Lancer le notebook sur binder (lent) <https://mybinder.org/v2/gl/pyspc%2Fpyspc/master?filepath=07-activites%2F02-seconde%2Fdissolution%2Fdissolution_eleve-download.ipynb>`"
   ]
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   "metadata": {},
   "source": [
    "Pour commencer, il faut définir les différentes variables 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!"
   ]
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   "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 M en écriture scientifique avec deux décimales \n",
    "# donc trois chiffres significatifs \n",
    "\n",
    "print('M ={0:.2e}'.format(M),'g/mol')                                           "
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
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   "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."
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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