davidcavazos commented on a change in pull request #15470:
URL: https://github.com/apache/beam/pull/15470#discussion_r704529694
##########
File path: examples/notebooks/tour-of-beam/dataframes.ipynb
##########
@@ -0,0 +1,820 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "name": "Beam DataFrames",
+ "provenance": [],
+ "collapsed_sections": [],
+ "toc_visible": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "metadata": {
+ "cellView": "form",
+ "id": "rz2qIC9IL2rI"
+ },
+ "source": [
+ "#@title ###### Licensed to the Apache Software Foundation (ASF),
Version 2.0 (the \"License\")\n",
+ "\n",
+ "# Licensed to the Apache Software Foundation (ASF) under one\n",
+ "# or more contributor license agreements. See the NOTICE file\n",
+ "# distributed with this work for additional information\n",
+ "# regarding copyright ownership. The ASF licenses this file\n",
+ "# to you under the Apache License, Version 2.0 (the\n",
+ "# \"License\"); you may not use this file except in compliance\n",
+ "# with the License. You may obtain a copy of the License at\n",
+ "#\n",
+ "# http://www.apache.org/licenses/LICENSE-2.0\n";,
+ "#\n",
+ "# Unless required by applicable law or agreed to in writing,\n",
+ "# software distributed under the License is distributed on an\n",
+ "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+ "# KIND, either express or implied. See the License for the\n",
+ "# specific language governing permissions and limitations\n",
+ "# under the License."
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "hDuXLLSZnI1D"
+ },
+ "source": [
+ "# Beam DataFrames\n",
+ "\n",
+ "<button>\n",
+ " <a
href=\"https://beam.apache.org/documentation/dsls/dataframes/overview/\";>\n",
+ " <img src=\"https://beam.apache.org/images/favicon.ico\";
alt=\"Open the docs\" height=\"16\"/>\n",
+ " Beam DataFrames overview\n",
+ " </a>\n",
+ "</button>\n",
+ "\n",
+ "Beam DataFrames provide a pandas-like
[DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html)\n",
+ "API to declare Beam pipelines.\n",
Review comment:
I agree, I chose "declare" due to the deferred execution model. I think
of it of declaring the pipeline and then running it, but there's probably a
better word for it. But Python is an imperative language, not declarative like
a functional language, so "create" might be a better choice.
##########
File path: examples/notebooks/tour-of-beam/dataframes.ipynb
##########
@@ -0,0 +1,820 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "name": "Beam DataFrames",
+ "provenance": [],
+ "collapsed_sections": [],
+ "toc_visible": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "code",
+ "metadata": {
+ "cellView": "form",
+ "id": "rz2qIC9IL2rI"
+ },
+ "source": [
+ "#@title ###### Licensed to the Apache Software Foundation (ASF),
Version 2.0 (the \"License\")\n",
+ "\n",
+ "# Licensed to the Apache Software Foundation (ASF) under one\n",
+ "# or more contributor license agreements. See the NOTICE file\n",
+ "# distributed with this work for additional information\n",
+ "# regarding copyright ownership. The ASF licenses this file\n",
+ "# to you under the Apache License, Version 2.0 (the\n",
+ "# \"License\"); you may not use this file except in compliance\n",
+ "# with the License. You may obtain a copy of the License at\n",
+ "#\n",
+ "# http://www.apache.org/licenses/LICENSE-2.0\n";,
+ "#\n",
+ "# Unless required by applicable law or agreed to in writing,\n",
+ "# software distributed under the License is distributed on an\n",
+ "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+ "# KIND, either express or implied. See the License for the\n",
+ "# specific language governing permissions and limitations\n",
+ "# under the License."
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "hDuXLLSZnI1D"
+ },
+ "source": [
+ "# Beam DataFrames\n",
+ "\n",
+ "<button>\n",
+ " <a
href=\"https://beam.apache.org/documentation/dsls/dataframes/overview/\";>\n",
+ " <img src=\"https://beam.apache.org/images/favicon.ico\";
alt=\"Open the docs\" height=\"16\"/>\n",
+ " Beam DataFrames overview\n",
+ " </a>\n",
+ "</button>\n",
+ "\n",
+ "Beam DataFrames provide a pandas-like
[DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html)\n",
+ "API to declare Beam pipelines.\n",
Review comment:
I agree, I chose "declare" due to the deferred execution model. I think
of it of declaring the pipeline and then running it, but there's probably a
better word for it. Python is an imperative language, not declarative like a
functional language, so "create" might be a better choice.
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