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suristeramotl
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Bump pandas and sqlalchemy
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topic/timeseries/dask-weather-data-import.ipynb

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"source": [
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"# How to Build Time Series Applications in CrateDB\n",
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"\n",
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"This notebook guides you through an example of how to batch import \n",
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"This notebook guides you through an example of how to import and work with\n",
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"time series data in CrateDB. It uses Dask to import data into CrateDB.\n",
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"Dask is a framework to parallelize operations on pandas Dataframes.\n",
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"\n",
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},
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"outputs": [],
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"source": [
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"!pip install dask 'pandas==2.0.0' 'crate[sqlalchemy]' 'cratedb-toolkit==0.0.10' 'pueblo>=0.0.7' kaggle"
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]
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"#!pip install dask pandas 'crate[sqlalchemy]'"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "a31d75fa072055fe"
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},
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{
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"cell_type": "markdown",
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "8fcc014a",
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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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"Dataset URL: https://www.kaggle.com/datasets/guillemservera/global-daily-climate-data\n"
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]
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}
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],
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"source": [
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"from pueblo.util.environ import getenvpass\n",
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"from cratedb_toolkit.datasets import load_dataset\n",

topic/timeseries/requirements.txt

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crate[sqlalchemy]==0.35.2
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cratedb-toolkit[datasets]==0.0.10
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refinitiv-data<1.7
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pandas<2
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pycaret==3.3.2
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pandas<2.2.1
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pycaret==3.3.1
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pydantic<2
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sqlalchemy<2
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refinitiv-data<1.7
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sqlalchemy>=1.0,<2.1

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