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Codespace super goldfish pyhton for ML #17

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Szan-12345 Jul 2, 2026
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Szan-12345 Jul 2, 2026
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6 changes: 6 additions & 0 deletions notebooks/02_03e.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -306,6 +306,12 @@
"numbers_df"
]
},
{
"cell_type": "markdown",
"id": "cf1e8c93",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 13,
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2 changes: 1 addition & 1 deletion notebooks/02_04e.ipynb
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Expand Up @@ -31,7 +31,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {},
"outputs": [
{
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50 changes: 48 additions & 2 deletions notebooks/02__03b.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -9,10 +9,22 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"id": "acd063a4",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pip in /usr/local/python/3.12.1/lib/python3.12/site-packages (26.1.2)\n",
"Requirement already satisfied: pandas in /usr/local/python/3.12.1/lib/python3.12/site-packages (3.0.3)\n",
"Requirement already satisfied: numpy>=1.26.0 in /usr/local/python/3.12.1/lib/python3.12/site-packages (from pandas) (2.5.0)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /home/codespace/.local/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\n",
"Requirement already satisfied: six>=1.5 in /home/codespace/.local/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n"
]
}
],
"source": [
"!pip install --upgrade pip \n",
"!pip install pandas "
Expand All @@ -25,6 +37,40 @@
"source": [
"#### Comparison operators (> < = <= => == !=) and Masking."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c4c3b632",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from pandas import DataFrame"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "cf5ce168",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'DataFrame' is not defined",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mNameError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m numbers_df = \u001b[43mDataFrame\u001b[49m(np.arange(\u001b[32m0\u001b[39m, \u001b[32m90\u001b[39m, \u001b[32m3\u001b[39m).reshape((\u001b[32m10\u001b[39m, \u001b[32m3\u001b[39m)), index=(\u001b[33m\"\u001b[39m\u001b[33mrow 1\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow2\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow3\u001b[39m\u001b[33m\"\u001b[39m,\u001b[33m\"\u001b[39m\u001b[33mrow4\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow5\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow6\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow7\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow8\u001b[39m\u001b[33m\"\u001b[39m,\u001b[33m\"\u001b[39m\u001b[33mrow9\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mrow10\u001b[39m\u001b[33m\"\u001b[39m), columns=(\u001b[33m\"\u001b[39m\u001b[33mcolumn1\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mcolumn2\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mcolumn3\u001b[39m\u001b[33m\"\u001b[39m))\n",
"\u001b[31mNameError\u001b[39m: name 'DataFrame' is not defined"
]
}
],
"source": [
"numbers_df = DataFrame(np.arange(0, 90, 3).reshape((10, 3)), index=(\"row 1\", \"row2\", \"row3\",\"row4\", \"row5\", \"row6\", \"row7\", \"row8\",\"row9\", \"row10\"), columns=(\"column1\", \"column2\", \"column3\"))"
]
}
],
"metadata": {
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