165 lines
125 KiB
Plaintext
165 lines
125 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Лабораторная 1\n",
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"### Вариант 7. Экономика стран\n",
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"Выгрузка из csv."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 168,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Index(['stock index', 'country', 'year', 'index price', 'log_indexprice',\n",
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" 'inflationrate', 'oil prices', 'exchange_rate', 'gdppercent',\n",
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" 'percapitaincome', 'unemploymentrate', 'manufacturingoutput',\n",
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" 'tradebalance', 'USTreasury'],\n",
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" dtype='object')\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"df = pd.read_csv(\".//csv//EconomicData.csv\")\n",
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"print(df.columns)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##### Гистограмма уровня инфляции в США по годам.\n",
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"Вывод: В начале 1980-х США столкнулись с проблемой бюджетного дефицита, которая была решена ближе к 1985 году. С 1990 по 2008 года процент инфляции оставался стабильным. С 2010 года США настроили курс, который позволил им снизить инфляцию в стране."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 177,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1600x300 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"srez = df.query('country == \"United States of America\"').sort_values(\"country\")\n",
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"plt.figure(figsize=(16,3))\n",
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"plt.bar(\n",
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" srez[\"year\"],\n",
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" srez[\"inflationrate\"]\n",
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")\n",
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"plt.title(\"График уровня инфляции в США с 1980 по 2020 год\")\n",
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"plt.show()\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##### Выпуск продукции обрабатывающей промышленности В 2020 году\n",
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"Вывод: в странах Европы обрабатывающая промышленность занимает второстепенную роль в специализации страны."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 185,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1500x300 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"srez = df.query('year == 2020 and (country == \"France\" or country == \"Spain\" or country == \"Germany\" or country ==\"United Kingdom\")').sort_values(\"unemploymentrate\")\n",
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"plt.figure(figsize=(15, 3))\n",
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"sns.boxenplot(x = srez[\"unemploymentrate\"])\n",
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"plt.title(\"Выпуск продукции обрабатывающей промышленности в 2020 году\")\n",
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"plt.xlabel('Доля выпуска продукции обрабатывающей промышленности')\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##### Уровень безработицы в странах на 2010 год\n",
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"Вывод: в 2010 году безработице больше всего были подвержены США и страны Европы."
|
|||
|
]
|
|||
|
},
|
|||
|
{
|
|||
|
"cell_type": "code",
|
|||
|
"execution_count": 211,
|
|||
|
"metadata": {},
|
|||
|
"outputs": [
|
|||
|
{
|
|||
|
"data": {
|
|||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAqcAAAJFCAYAAADgaV6NAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADFPUlEQVR4nOzdd3gUVdsG8Hu2p/eeQAqBhC5VelekiYgoFpoVsFN81U/FLopdQUEFLChKEVR6753QUkglvSebbLKbLXO+PyIrSwopu5ktz++6ckF2Z87cs8kmT86cc4ZjjDEQQgghhBBiBURCByCEEEIIIeQ6Kk4JIYQQQojVoOKUEEIIIYRYDSpOCSGEEEKI1aDilBBCCCGEWA0qTgkhhBBCiNWg4pQQQgghhFgNKk4JIYQQQojVoOKUWCXGGEpLS5GcnCx0lFaxl/MghBBC2goVp8RqVFZW4v/+7//QqVMnyGQy+Pj4oGPHjkhKShI6WrPYy3kQQgghQqDi1Mzef/99cByHbdu21XmuoKAAMpkMd999twDJrFtJSQkGDBiAL774AlOnTsWWLVuwe/duHDhwAOHh4ULHazJ7OQ9CbiUxMRGLFy9Gz5494ebmhqCgIIwfPx5nzpypd/ucnBxMmzYNnp6ecHd3x9133420tDSTbbKysvDmm2+iX79+8PLygq+vL4YPH449e/bU22Z5eTmeeOIJ+Pn5wcXFBSNGjMC5c+fMfq6EkLbFMcaY0CHsSX5+PsLCwjBx4kRs2rTJ5Ln3338fr7zyCv7++2+MHz9eoITWac6cOdiyZQsOHTqELl26CB2nxezlPAi5lYULF+L777/Hvffei379+kGpVOLbb79FRkYGduzYgdGjRxu3ValU6NWrF5RKJRYsWACpVIpPP/0UjDHExcXBx8cHAPDVV19h8eLFmDx5MgYNGgS9Xo8ff/wR586dww8//IDZs2cb2+R5HkOGDMGFCxewaNEi+Pr6Yvny5cjKysLZs2cRHR3d5q8JIcRMGDG7yZMnM4lEwvLy8oyP8TzPIiMjWVhYGDMYDAKmsz4FBQVMJBKxlStXCh2lVezlPAhpijNnzrDKykqTx4qLi5mfnx8bNGiQyeNLly5lANipU6eMjyUkJDCxWMxefvll42OXL19mRUVFJvtqNBoWExPDQkNDTR5fv349A8D++OMP42OFhYXM09OTTZ8+vdXnRwgRDl3Wt4DHH38cer0ea9asMT62Z88epKWlYc6cORCJal/2NWvWgOM4HDp0CE8++SR8fHzg7u6OGTNmoKysrE67y5cvR5cuXSCXyxEcHIz58+ejvLzcZJvhw4eD4zjjh6+vL8aPH4/Lly/Xae/nn39G79694eTkBG9vbzzwwAPIysqq017Xrl3r7Lts2TJwHIeMjAzjY+Hh4ZgwYUIzXqlap0+fBs/z0Gq16NOnDxQKBXx8fDB9+nRkZmbW2T4xMRFTp06Ft7c3FAoF+vTpg61bt5pss2nTJvTr1w/e3t5wcnJCTEwMli5dCnbDhYIlS5aA4zgkJiZi2rRpcHd3h4+PD5577jloNBqT9lavXo2RI0fC398fcrkcnTt3xooVK1p1Hvv27cOQIUPg4uICT09P3H333UhISKiTr7GPAwcOAKj9Og0fPrxOnuvb3YjjODz99NN18kyYMKHO0INZs2bB1dW1zrY3t7dkyZJGtzlw4IBJbrlcjo4dO+L99983+Zo0RKPRYMmSJejYsSMUCgWCgoIwZcoUpKamIiMj45av06xZswA07z23ZcsWjB8/HsHBwZDL5YiKisLbb78Ng8Fgsl1z3iNNaTMhIQFOTk6YMWOGSXtHjhyBWCzGSy+91Ohr1dDXbMOGDSbfMwBw+PBh3HfffWjXrh3kcjnCwsLwwgsvQK1WN3oMAOjdu3ed4/j4+GDIkCEm38fXj923b1/07dvX+FhMTAxGjRqF33//3fhYly5d4Ovra7KvXC7HuHHjkJ2djcrKSpM2AwICMGXKFONjfn5+mDZtGrZs2YKamppG84eHh9f7vfLYY48Zt6mqqsKCBQsQFhYGuVyOTp06YdmyZfV+z978PX7jByGkeSRCB7BHY8eORVhYGL7//nu89NJL4DgOq1atgkgkwqOPPlpn+6effhqenp5YsmQJkpKSsGLFCly7ds34ww6oLVTefPNNjB49GnPnzjVud/r0aRw9ehRSqdTYXkxMDF599VUwxpCamopPPvkE48aNMymQ3n33Xbz22muYNm0aHnvsMRQVFeHLL7/E0KFDcf78eXh6elr8dbqupKTE+Dr07t0bH3zwAYqKivDFF1/gyJEjOH/+vPEX1pUrVzBo0CCEhITgf//7H1xcXPD7779j8uTJ2LhxI+655x4AQEVFBfr374+ZM2dCKpVix44d+N///geJRIIFCxaYHH/atGkIDw/H+++/jxMnTuCLL75AWVkZfvzxR+M2K1asQJcuXTBp0iRIJBL89ddfmDdvHniex/z585t9Hnv27MFdd92FyMhILFmyBGq1Gl9++SUGDRqEc+fOITw8HFOmTEGHDh2MGV544QXExsbiiSeeMD4WGxvb4Ot6qyJGCK+88gpiY2OhVquxfv16vPLKK/D396/3fXGdwWDAhAkTsHfvXjzwwAN47rnnUFlZid27d+Py5csYPXo0fvrpJ+P2mzZtwubNm00ei4qKMmmzKe+5NWvWwNXVFS+++CJcXV2xb98+vP7666ioqMBHH33UovNvSpuxsbF4++23sWjRIkydOhWTJk1CVVUVZs2ahZiYGLz11lstOnZ9/vjjD1RXV2Pu3Lnw8fHBqVOn8OWXXyI7Oxt//PFHi9rMz883KTB5nsfFixcxZ86cOtv269cPu3btQmVlJdzc3Bpt09nZGc7OzsbHzp8/j169ehn/2L+xzZUrV+Lq1avo1q1bo1l79uxZ5+fB9fccYwyTJk3C/v378eijj6Jnz57YuXMnFi1ahJycHHz66af1tvnss88ai/Aff/wRu3fvbjQDIaQegvbb2rE33niDAWD79u1jhYWFTCaTsXHjxplss3r1agaA9e7dm2m1WuPjH374IQPAtmzZwhhjxv3vuOMOkyEBX331FQPAfvjhB+Njw4YNY8OGDTM5ziuvvMIAsMLCQsYYYxkZGUwsFrN3333XZLtLly4xiURi8viwYcNYly5d6pzfRx99xACw9PR042Pt27dn48ePb+IrVPd16Ny5M6uurjY+vn//fgaALViwwPjYqFGjWLdu3ZhGozE+xvM8GzhwIIuOjm70OJ07d2YTJkwwfn79azRp0iST7ebNm8cAsAsXLhgfuzHXdXfeeSeLjIxs0Xn07NmT+fv7s5KSEuNjFy5cYCKRiM2YMaPe/O3bt2czZ86s97mbv+7btm1jANjYsWPZzW9zAGz+/Pl12hg/fjxr3769yWMzZ85kLi4u9R7zxvbeeOONRre5/hrs37/f+JhGo2EikYjNmzev0X1/+OEHBoB98skndZ7jeb7OY9e/rvVp6nuOsfq/5k8++SRzdnY2+f5rznukqW0aDAY2ePBgFhAQwIqLi9n8+fOZRCJhp0+frve8btTQ1+yPP/6o8zWoL8/777/POI5j165du+Wxbnbo0CHGcRx77bXXjI8VFRUxAOytt96qs/3XX3/NALDExMQG20xOTmYKhYI98sgjJo+7uLiwOXPm1Nn+n3/+YQDYjh07Gs16q59Xf/75JwPA3nnnHZPHp06dyjiOYykpKSaP79q1iwFgGzZsMD42f/78Br8XCSENo8v6FvLoo49CJBJh1apVWL16NbRarUmP142eeOIJk57PuXPnQiKRGGf879mzB1qtFs8//7xJL8Hjjz8Od3d3/PPPPybt6XQ6FBcXo6ioCMePH8fmzZvRvXt3Y2/Gpk2bwPM8pk2bhuLiYuNHYGAgoqOjsX//fpP2DAaDyXbFxcWorq6u91yuH7ukpAR6vb5Zr9n8+fPh5ORk/Hz48OHo3bu38fxKS0uxb98+TJs2DZWVlcYsJSUluPPOO5GcnIycnByTNouLi5GdnY01a9YgJSUFQ4cOrfe4N3rmmWcAwGTFhRtzKZV
|
|||
|
"text/plain": [
|
|||
|
"<Figure size 1100x700 with 1 Axes>"
|
|||
|
]
|
|||
|
},
|
|||
|
"metadata": {},
|
|||
|
"output_type": "display_data"
|
|||
|
}
|
|||
|
],
|
|||
|
"source": [
|
|||
|
"srez = df.query('unemploymentrate >= 0 and year == 2010').sort_values(\"country\")\n",
|
|||
|
"plt.figure(figsize=(11,7))\n",
|
|||
|
"plt.pie(\n",
|
|||
|
" srez[\"unemploymentrate\"],\n",
|
|||
|
" labels=srez[\"country\"],\n",
|
|||
|
" autopct=\"%1.1f%%\",\n",
|
|||
|
")\n",
|
|||
|
"plt.title(\"Уровень безработицы в странах на 2020 год\")\n",
|
|||
|
"plt.show()"
|
|||
|
]
|
|||
|
}
|
|||
|
],
|
|||
|
"metadata": {
|
|||
|
"kernelspec": {
|
|||
|
"display_name": "aim",
|
|||
|
"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": "3.12.0"
|
|||
|
}
|
|||
|
},
|
|||
|
"nbformat": 4,
|
|||
|
"nbformat_minor": 2
|
|||
|
}
|