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"# VARIATION DU VECTEUR VITESSE\n",
"\n",
"đ Plan\n",
"> **Avant-propos**
\n",
">\n",
"> **1. Introduction**
\n",
"> 1.1. Programme
\n",
"> 1.2. DĂ©finitions
\n",
"> 1.3. Représentation d'un vecteur avec Python
\n",
">\n",
"> **2. Vecteurs vitesse dâun systĂšme modĂ©lisĂ© par un point lors dâun mouvement unidimensionnel**
\n",
"> 2.1. Mouvement horizontal uniforme
\n",
"> 2.2. Mouvement vertical accéléré
\n",
">\n",
"> **3. Vecteurs vitesse dâun systĂšme modĂ©lisĂ© par un point lors dâun mouvement bidimensionnel**
\n",
"> 3.1. Mouvement circulaire uniforme
\n",
"> 3.1.1. Préliminaire optionel
\n",
"> 3.1.2. Valeurs des positions fournies
\n",
"> 3.1.3. Valeurs des positions calculées
\n",
"> 3.2. Mouvement parabolique
\n",
">\n",
"> **Licence**\n",
"\n",
"\n",
"## Avant propos\n",
"**đĄ PrĂ©sentation**\n",
"\n",
"Le but de ce document est de fournir quelques éléments pour aider à contruire des supports de cours adaptés aux parties du programme faisant référence aux capacités numériques. Vous pouvez l'utiliser tel quel, ou vous en inspirer pour créer vos propres supports de cours, exercices, devoirs (que vous pourrez ensuite partager sur ce site).\n",
"\n",
"**đ Collaboration**\n",
"\n",
"Vous pouvez participer Ă ce document [ici](https://github.com/codekodo/calepins-spc-seconde).\n",
"\n",
"**đ·ïž Licence**\n",
"\n",
"Ce document peut-ĂȘtre partagĂ© et adaptĂ©. Mais toute version du document doit conserver la mĂȘme licence, y faire clairement rĂ©fĂ©rence, prĂ©ciser les Ă©ventuelles modifications apportĂ©es et crĂ©diter clairement le ou les auteur(s). Utilisation commerciale non aurorisĂ©e. Plus d'information en fin de document.\n",
"\n",
"## 1. Introduction\n",
"\n",
"### 1.1. Programme\n",
"\n",
"đ Extraits du programme :\n",
"> *Variation du vecteur vitesse*\n",
"> CapacitĂ© numĂ©rique : reprĂ©senter des vecteurs variation de vitesse dâun systĂšme modĂ©lisĂ© par un point lors dâune Ă©volution unidimensionnelle ou bidimensionnelle Ă lâaide dâun langage de programmation.\n",
"\n",
"> đ Le langage de programmation conseillĂ© est le langage Python.\n",
"\n",
"### 1.2. DĂ©finitions\n",
"\n",
"**âïž Mouvement uniforme**\n",
"\n",
"XXXXXXXXXXXXXXXXXXXXX\n",
"\n",
"**âïž XXXXXXXXXXXXXXXX**\n",
"\n",
"XXXXXXXXXXXXXXXX\n",
"\n",
"**âïž XXXXXXXXXXXXXXXX**\n",
"\n",
"XXXXXXXXXXXXXXXX\n",
"\n",
"### 1.3. Représentation d'un vecteur avec Python\n",
"đ± La bibliothĂšque `matplotlib` "
]
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\n",
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