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tylere/execute_notebook_files.ipynb

Created May 22, 2017 18:32
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Jupyter notebook for executing a series of notebooks and exporting them.
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execute_notebook_files.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/content/datalab\r\n"
]
}
],
"source": [
"!pwd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import libraries, and print the notebook library version."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"notebook version = 4.2.3\n"
]
}
],
"source": [
"import notebook\n",
"import io\n",
"import os\n",
"from nbconvert import HTMLExporter\n",
"from nbconvert import MarkdownExporter\n",
"from nbconvert.preprocessors import ExecutePreprocessor\n",
"from nbconvert.preprocessors.execute import CellExecutionError\n",
"import nbformat\n",
"import pprint\n",
"\n",
"print('notebook version = {0}'.format(notebook.__version__))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Execute Datalab notebooks, and export them in HTML and Markdown formats."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"ENCODING = 'utf-8'\n",
"OUTPUT_PATH = 'nbconvert_output_notebook{0}'.format(notebook.__version__)\n",
"print('OUTPUT_PATH', OUTPUT_PATH)\n",
"if not os.path.exists(OUTPUT_PATH):\n",
" os.makedirs(OUTPUT_PATH)\n",
"\n",
"ep = ExecutePreprocessor(timeout=600, kernel_name='python2')\n",
"html_exporter = HTMLExporter()\n",
"markdown_exporter = MarkdownExporter()\n",
"\n",
"# Build a list of notebook filepaths.\n",
"templist = []\n",
"for (path, dirs, files) in os.walk('/content/datalab/docs'):\n",
" temp_files = [os.path.join(path, f) for f in files if (f.endswith('.ipynb') and not f.endswith('checkpoint.ipynb'))]\n",
" templist.append(temp_files)\n",
"\n",
"# Flatten the list of files.\n",
"flat_list = [item for sublist in templist for item in sublist]\n",
"\n",
"# Remove long-running notebooks.\n",
"flat_list.remove('/content/datalab/docs/samples/ML Toolbox/Image Classification/Coast/Local End to End.ipynb')\n",
"flat_list.remove('/content/datalab/docs/samples/ML Toolbox/Image Classification/Flower/Local End to End.ipynb')\n",
"flat_list.remove('/content/datalab/docs/samples/TensorFlow/LSTM Punctuation Model With TensorFlow.ipynb')\n",
"\n",
"for filepath in flat_list:\n",
" print('processing: ' + filepath)\n",
" notebook_filename = os.path.basename(filepath)\n",
" \n",
" notebook_filename_out = os.path.join(\n",
" OUTPUT_PATH,\n",
" 'executed_' + os.path.splitext(notebook_filename)[0] + '.ipynb'\n",
" )\n",
" if os.path.isfile(notebook_filename_out): \n",
" print(' output file already exists: {0}'.format(notebook_filename_out))\n",
" with io.open(notebook_filename_out) as f:\n",
" nb = nbformat.reads(f.read(), as_version=4)\n",
" else: \n",
" with io.open(filepath) as f:\n",
" nb = nbformat.reads(f.read(), as_version=4)\n",
" try:\n",
" out = ep.preprocess(nb, {'metadata': {'path': OUTPUT_PATH + '/'}})\n",
" except CellExecutionError:\n",
" msg = ' Error executing the notebook \"%s\".\\n' % notebook_filename\n",
" msg += ' See notebook \"%s\" for the traceback.\\n' % notebook_filename_out\n",
" print(msg)\n",
" except RuntimeError:\n",
" msg = ' Runtime Error for the notebook \"%s\".\\n' % notebook_filename\n",
" print(msg)\n",
" finally:\n",
" with io.open(notebook_filename_out, mode='wt') as f:\n",
" nbformat.write(nb, f)\n",
" print(' created output file: {0}'.format(notebook_filename_out))\n",
" \n",
" # Export the notebook in different formats.\n",
" for exporter in [html_exporter, markdown_exporter]:\n",
" exported_filename_out = os.path.splitext(notebook_filename_out)[0] + exporter.file_extension\n",
" if os.path.isfile(exported_filename_out): \n",
" print(' output file already exists: {0}'.format(exported_filename_out))\n",
" else: \n",
" (body, resources) = exporter.from_notebook_node(nb)\n",
" with io.open(exported_filename_out, 'w') as f:\n",
" f.write(body)\n",
" print('wrote ' + exported_filename_out)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Copy of the execution output for notebook==4.2.3\n",
"\n",
"('OUTPUT_PATH', 'nbconvert_output_notebook4.2.3')\n",
"processing: /content/datalab/docs/Hello World.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Hello World.ipynb\n",
"processing: /content/datalab/docs/Readme.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Readme.ipynb\n",
"processing: /content/datalab/docs/test error response.ipynb\n",
" Error executing the notebook \"test error response.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_test error response.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_test error response.ipynb\n",
"processing: /content/datalab/docs/Test IPyLeaflet.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Test IPyLeaflet.ipynb\n",
"processing: /content/datalab/docs/intro/Introduction to Notebooks.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Introduction to Notebooks.ipynb\n",
"processing: /content/datalab/docs/intro/Introduction to Python.ipynb\n",
" Error executing the notebook \"Introduction to Python.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_Introduction to Python.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Introduction to Python.ipynb\n",
"processing: /content/datalab/docs/intro/Using Datalab - Accessing Cloud Data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Using Datalab - Accessing Cloud Data.ipynb\n",
"processing: /content/datalab/docs/samples/Anomaly Detection in HTTP Logs.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Anomaly Detection in HTTP Logs.ipynb\n",
"processing: /content/datalab/docs/samples/Conversion Analysis with Google Analytics Data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Conversion Analysis with Google Analytics Data.ipynb\n",
"processing: /content/datalab/docs/samples/Exploring Genomics Data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Exploring Genomics Data.ipynb\n",
"processing: /content/datalab/docs/samples/Programming Language Correlation.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Programming Language Correlation.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Classification/Iris/1 Local End to End.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_1 Local End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Coast/Service End to End.ipynb\n",
" Error executing the notebook \"Service End to End.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_Service End to End.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Service End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Coast/Setup.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Setup.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Flower/Service End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.2.3/executed_Service End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/0 Readme and Setup.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_0 Readme and Setup.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/1 Local End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.2.3/executed_1 Local End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/2 Service Preprocess.ipynb\n",
" Error executing the notebook \"2 Service Preprocess.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_2 Service Preprocess.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_2 Service Preprocess.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/3 Service Train.ipynb\n",
" Error executing the notebook \"3 Service Train.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_3 Service Train.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_3 Service Train.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/4 Service Evaluate.ipynb\n",
" Error executing the notebook \"4 Service Evaluate.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_4 Service Evaluate.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_4 Service Evaluate.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/5 Service Predict.ipynb\n",
" Error executing the notebook \"5 Service Predict.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_5 Service Predict.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_5 Service Predict.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/6 Cleanup.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_6 Cleanup.ipynb\n",
"processing: /content/datalab/docs/samples/TensorFlow/Machine Learning with Financial Data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Machine Learning with Financial Data.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery APIs.ipynb\n",
" Runtime Error for the notebook \"BigQuery APIs.ipynb\".\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_BigQuery APIs.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Commands.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_BigQuery Commands.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Magic Commands and DML.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_BigQuery Magic Commands and DML.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Parameterization.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_BigQuery Parameterization.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Hello BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Hello BigQuery.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Importing and Exporting Data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Importing and Exporting Data.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/SQL and Pandas DataFrames.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_SQL and Pandas DataFrames.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/SQL Query Composition.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_SQL Query Composition.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDF Testing in the Notebook.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_UDF Testing in the Notebook.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDFs in BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_UDFs in BigQuery.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDFs using Code in Cloud Storage.ipynb\n",
" Error executing the notebook \"UDFs using Code in Cloud Storage.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_UDFs using Code in Cloud Storage.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_UDFs using Code in Cloud Storage.ipynb\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Using External Tables from BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Using External Tables from BigQuery.ipynb\n",
"processing: /content/datalab/docs/tutorials/Data/Interactive Charts with Google Charting APIs.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Interactive Charts with Google Charting APIs.ipynb\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Getting started.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Getting started.ipynb\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Group metrics.ipynb\n",
" Error executing the notebook \"Group metrics.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.2.3/executed_Group metrics.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Group metrics.ipynb\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Time-shifted data.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Time-shifted data.ipynb\n",
"processing: /content/datalab/docs/tutorials/Storage/Storage APIs.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Storage APIs.ipynb\n",
"processing: /content/datalab/docs/tutorials/Storage/Storage Commands.ipynb\n",
" created output file: nbconvert_output_notebook4.2.3/executed_Storage Commands.ipynb"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Copy of the execution output for notebook==4.4.1\n",
"\n",
"('OUTPUT_PATH', 'nbconvert_output_notebook4.4.1')\n",
"processing: /content/datalab/docs/Hello World.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Hello World.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Hello World.html\n",
"processing: /content/datalab/docs/Readme.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Readme.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Readme.html\n",
"processing: /content/datalab/docs/test error response.ipynb\n",
" Error executing the notebook \"test error response.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_test error response.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_test error response.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_test error response.html\n",
"processing: /content/datalab/docs/Test IPyLeaflet.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Test IPyLeaflet.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Test IPyLeaflet.html\n",
"processing: /content/datalab/docs/intro/Introduction to Notebooks.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Introduction to Notebooks.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Introduction to Notebooks.html\n",
"processing: /content/datalab/docs/intro/Introduction to Python.ipynb\n",
" Error executing the notebook \"Introduction to Python.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_Introduction to Python.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Introduction to Python.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Introduction to Python.html\n",
"processing: /content/datalab/docs/intro/Using Datalab - Accessing Cloud Data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Using Datalab - Accessing Cloud Data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Using Datalab - Accessing Cloud Data.html\n",
"processing: /content/datalab/docs/samples/Anomaly Detection in HTTP Logs.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Anomaly Detection in HTTP Logs.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Anomaly Detection in HTTP Logs.html\n",
"processing: /content/datalab/docs/samples/Conversion Analysis with Google Analytics Data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Conversion Analysis with Google Analytics Data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Conversion Analysis with Google Analytics Data.html\n",
"processing: /content/datalab/docs/samples/Exploring Genomics Data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Exploring Genomics Data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Exploring Genomics Data.html\n",
"processing: /content/datalab/docs/samples/Programming Language Correlation.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Programming Language Correlation.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Programming Language Correlation.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Classification/Iris/1 Local End to End.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_1 Local End to End.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_1 Local End to End.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Coast/Service End to End.ipynb\n",
" Error executing the notebook \"Service End to End.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_Service End to End.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Service End to End.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Service End to End.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Coast/Setup.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Setup.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Setup.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Image Classification/Flower/Service End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.4.1/executed_Service End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.4.1/executed_Service End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/0 Readme and Setup.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_0 Readme and Setup.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_0 Readme and Setup.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/1 Local End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.4.1/executed_1 Local End to End.ipynb\n",
" output file already exists: nbconvert_output_notebook4.4.1/executed_1 Local End to End.ipynb\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/2 Service Preprocess.ipynb\n",
" Error executing the notebook \"2 Service Preprocess.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_2 Service Preprocess.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_2 Service Preprocess.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_2 Service Preprocess.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/3 Service Train.ipynb\n",
" Error executing the notebook \"3 Service Train.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_3 Service Train.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_3 Service Train.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_3 Service Train.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/4 Service Evaluate.ipynb\n",
" Error executing the notebook \"4 Service Evaluate.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_4 Service Evaluate.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_4 Service Evaluate.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_4 Service Evaluate.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/5 Service Predict.ipynb\n",
" Error executing the notebook \"5 Service Predict.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_5 Service Predict.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_5 Service Predict.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_5 Service Predict.html\n",
"processing: /content/datalab/docs/samples/ML Toolbox/Regression/Census/6 Cleanup.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_6 Cleanup.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_6 Cleanup.html\n",
"processing: /content/datalab/docs/samples/TensorFlow/Machine Learning with Financial Data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Machine Learning with Financial Data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Machine Learning with Financial Data.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery APIs.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_BigQuery APIs.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_BigQuery APIs.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Commands.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_BigQuery Commands.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_BigQuery Commands.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Magic Commands and DML.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_BigQuery Magic Commands and DML.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_BigQuery Magic Commands and DML.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/BigQuery Parameterization.ipynb\n",
" Runtime Error for the notebook \"BigQuery Parameterization.ipynb\".\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_BigQuery Parameterization.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_BigQuery Parameterization.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Hello BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Hello BigQuery.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Hello BigQuery.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Importing and Exporting Data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Importing and Exporting Data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Importing and Exporting Data.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/SQL and Pandas DataFrames.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_SQL and Pandas DataFrames.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_SQL and Pandas DataFrames.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/SQL Query Composition.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_SQL Query Composition.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_SQL Query Composition.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDF Testing in the Notebook.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_UDF Testing in the Notebook.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_UDF Testing in the Notebook.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDFs in BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_UDFs in BigQuery.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_UDFs in BigQuery.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/UDFs using Code in Cloud Storage.ipynb\n",
" Error executing the notebook \"UDFs using Code in Cloud Storage.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_UDFs using Code in Cloud Storage.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_UDFs using Code in Cloud Storage.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_UDFs using Code in Cloud Storage.html\n",
"processing: /content/datalab/docs/tutorials/BigQuery/Using External Tables from BigQuery.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Using External Tables from BigQuery.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Using External Tables from BigQuery.html\n",
"processing: /content/datalab/docs/tutorials/Data/Interactive Charts with Google Charting APIs.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Interactive Charts with Google Charting APIs.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Interactive Charts with Google Charting APIs.html\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Getting started.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Getting started.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Getting started.html\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Group metrics.ipynb\n",
" Error executing the notebook \"Group metrics.ipynb\".\n",
" See notebook \"nbconvert_output_notebook4.4.1/executed_Group metrics.ipynb\" for the traceback.\n",
"\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Group metrics.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Group metrics.html\n",
"processing: /content/datalab/docs/tutorials/Stackdriver Monitoring/Time-shifted data.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Time-shifted data.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Time-shifted data.html\n",
"processing: /content/datalab/docs/tutorials/Storage/Storage APIs.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Storage APIs.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Storage APIs.html\n",
"processing: /content/datalab/docs/tutorials/Storage/Storage Commands.ipynb\n",
" created output file: nbconvert_output_notebook4.4.1/executed_Storage Commands.ipynb\n",
"wrote nbconvert_output_notebook4.4.1/executed_Storage Commands.html"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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