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Install modules #16

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Merged
Supravisor merged 1 commit into from
Oct 2, 2026
Merged

Install modules #16

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36 changes: 35 additions & 1 deletion datasets/Titanic.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -10,9 +10,43 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "ecd595e6-4de0-45f1-8022-92ad3c47e540",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting pandas\n",
" Downloading pandas-3.0.6-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (79 kB)\n",
"Collecting numpy>=2.3.3 (from pandas)\n",
" Downloading numpy-2.5.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (6.6 kB)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /home/codespace/.local/lib/python3.14/site-packages (from pandas) (2.9.0.post0)\n",
"Requirement already satisfied: six>=1.5 in /home/codespace/.local/lib/python3.14/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
"Downloading pandas-3.0.6-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (10.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.8/10.8 MB\u001b[0m \u001b[31m44.2 MB/s\u001b[0m \u001b[33m0:00:00\u001b[0m6m0:00:01\u001b[0m\n",
"\u001b[?25hDownloading numpy-2.5.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.7/16.7 MB\u001b[0m \u001b[31m47.2 MB/s\u001b[0m \u001b[33m0:00:00\u001b[0m6m0:00:01\u001b[0m\n",
"\u001b[?25hInstalling collected packages: numpy, pandas\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [pandas]2m1/2\u001b[0m [pandas]\n",
"\u001b[1A\u001b[2KSuccessfully installed numpy-2.5.3 pandas-3.0.6\n",
"Requirement already satisfied: numpy in /usr/local/python/3.14.2/lib/python3.14/site-packages (2.5.3)\n"
]
}
],
"source": [
"!pip install pandas\n",
"!pip install numpy\n",
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3872ff90-6606-4a86-98b8-7dae17feb4ea",
"metadata": {},
"outputs": [],
"source": []
}
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