![](\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_Naas_Lab.svg\"/)
![\"Naas\"](\"https://landen.imgix.net/jtci2pxwjczr/assets/5ice39g4.png?w=160\"/)
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "96049d01-11e9-4538-9012-57992898281e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Check status code and Send report by email\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "96049d01-11e9-4538-9012-57992898281e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Check status code in bulk\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6804ca94-e0dc-4072-8850-c131bb1009f1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Check website pages status code\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "96049d01-11e9-4538-9012-57992898281e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Crawling a website\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "96049d01-11e9-4538-9012-57992898281e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Visualize status codes OK and KO\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "96049d01-11e9-4538-9012-57992898281e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Advertools - Visualize status codes count\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce525f1b-c766-44d4-bac8-ae23a2c9bcd9",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Agicap - Get banks accounts from company\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3a556037-c0e4-4f60-b53e-9f20d76df238",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Agicap - Get inflow categories from company\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3a556037-c0e4-4f60-b53e-9f20d76df238",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Agicap - Get outflow categories from company\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a5c528f7-ea73-4965-9e6d-a9b8a76c2ffd",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Azure Blob Storage - List blobs\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "180e9541-2f56-4f0f-8f5f-03d46f19e1c8",
+ "metadata": {
+ "id": "180e9541-2f56-4f0f-8f5f-03d46f19e1c8",
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Azure Machine Learning - Univariate Timeseries Inference\n",
+ ""
- ]
- },
- {
- "cell_type": "markdown",
- "id": "elder-rugby",
- "metadata": {
- "papermill": {},
- "tags": []
- },
- "source": [
- "# CSV - Save file\n",
- ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e6027d4d-b5ed-4ccb-acdd-4e16d3dc1260",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Clockify - Create time entries database on a workspace\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e6027d4d-b5ed-4ccb-acdd-4e16d3dc1260",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Clockify - Send time entries database to a Google Sheets spreadsheet\n",
+ ""
@@ -13,36 +15,47 @@
},
{
"cell_type": "markdown",
- "id": "elder-rugby",
+ "id": "db17b79b",
"metadata": {
"papermill": {},
"tags": []
},
"source": [
- "# CSV - Read file\n",
- ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d2f9171e-0b6b-45e7-ad69-0e28ce4fa556",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Datetime - Convert timestamp to a datetime object\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Folium - Add markers on map\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a12e5f57-8c01-4642-8a8d-2cd1be2d7a59",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Folium - Build route maps\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Folium - Create map\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Forecast - List all assignments\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Forecast - List all clients\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Forecast - List all people\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Forecast - List all projects\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Calculate distance between two locations in kilometers\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Calculate distance between two locations in miles\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Display markers on map from addresses\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Display route itinerary between two locations\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Get address from coordinates\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Geopy - Get coordinates from address\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "substantial-decline",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Clone open branches from repository on my local\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "432caf78-c690-40cf-a65e-529c6f00cb3b",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Get DataFrame with issue estimate from project view\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1e0b104c-3f5c-4557-810c-510ad5c01aed",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - List commits history from file path\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "196a6e22-38b0-42af-aa8b-53f050c864de",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - List branches\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "196a6e22-38b0-42af-aa8b-53f050c864de",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - List branches with open PR\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "196a6e22-38b0-42af-aa8b-53f050c864de",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Remove directories with branches closed on my local\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "373a7231-6f7d-47da-b3cd-6b8f5250223a",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Send contributor activity on slack\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "373a7231-6f7d-47da-b3cd-6b8f5250223a",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Send template maintainer monthly report\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "373a7231-6f7d-47da-b3cd-6b8f5250223a",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# GitHub - Send templates created on a notebooks to Slack channel\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "forty-morocco",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Gmail - Get emails by date\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0295da1f-0c24-46af-8afe-d2be52c8ec00",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Gmail - Get most common senders\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "forty-morocco",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Gmail - Get most important unseen emails\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "45637f96-2c01-470b-b175-775f441e23e2",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Gmail - Mark emails as seen by dates\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Maps - Calculate travel costs between two addresses\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Maps - Connect to Routes API\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Maps - Create and display distance matrix\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9baa5343",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Maps - Create itinerary optimisation on differents waypoints\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e38b257f-d0b0-4e43-a9c6-e63408bde9a3",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Maps - Get coordinates from address\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9baa5343",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Google Sheets - Calculate distance and price\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Harvest - Get Filtered List of Time Entries\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7b1332f0-6461-48ed-937b-d596e7355431",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Harvest - List all users\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd48954d-be6f-4871-8c98-5c583536bc8e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Add LinkedIn message to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd48954d-be6f-4871-8c98-5c583536bc8e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Add SMS message to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd48954d-be6f-4871-8c98-5c583536bc8e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Add WhatsApp message to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd48954d-be6f-4871-8c98-5c583536bc8e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Delete communication\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Get activities from contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Get communications associated to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Get meetings associated to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Get sales emails associated to contact\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - List communication properties\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - List contact properties\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - List meeting properties\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - List notes properties\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - List sales emails properties\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Retrieve communication details\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85c6497e-923f-41fa-b85b-81f47a5ab9c7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# HubSpot - Retrieve meetings\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2ade69bd-8adb-442d-8d18-de847c0a872f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# JSON - Convert Python Objects to\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "762472ad-5965-4e4d-ac78-562dd35a196f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# JSON - Pretty print data\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d36356f7-4c3f-4758-a00e-84826514535c",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# JSON - Save dataframe to file\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "df50635b-6326-4141-96c3-ff171716c295",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# JSON - Send to Google Sheets spreadsheet\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2ccd97c7-9b76-4fed-a21f-8580e8265fa9",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LangChain - Gmail Toolkit\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8b45064a-f828-4ceb-a819-b6793a40c390",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LangChain - JSON Agent\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "anticipated-teach",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LinkedIn - Chat about my latest profile posts\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bf47ced8-b6e7-4462-9e1f-ce408f6038a5",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LinkedIn - Get sentiment analysis from post comments\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "de01e1b4-4603-4fe9-a70e-b438b91ef689",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LinkedIn - Send like to latest profile post\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f8bc3806-ec06-4c6e-a405-76bf9eebe6d5",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# LinkedIn - Send like to post\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Barchart\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Horizontal Barchart\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Stacked Barchart\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Stackplots\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Step Demo\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Create Streamgraphs\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Creating a timeline with lines, dates, and text\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Errorbar Limit Selection\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Mapping marker properties to multivariate data\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "continuing-pioneer",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Matplotlib - Plotting the Coherence of two signals\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fe56529c-52f7-4b91-a9d9-caac34166024",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Mixpanel - Get Profile Event Activity\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5d648da5-f36b-488d-a031-65d2a48dc697",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# MoviePy - Convert audio file M4A to MP3\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "veterinary-pleasure",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# NASA - Display Exoplanet by Light Curves\n",
+ " ![](\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_MyChatGPT.svg\"/)
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fcaeae35-a4ae-41fb-8da4-664ac3124302",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Naas - Delete all assets\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fcaeae35-a4ae-41fb-8da4-664ac3124302",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Naas - Delete all schedulers\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e925a816-a97e-425e-b476-119cd3875ae6",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OS - Get folder stats\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize GDP per capita through the years\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize Human Development Index\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6cfd1dc6",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize oil consumption throughout the years\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eda38e5e",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize Population of Different Age Groups\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize economic freedom through the years\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize greenhouse gas per capita\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize Life expectancy at birth for both sexes throughout the years\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Tourist depature per 1000\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize wealth distribuition of certain major economic powers\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "267d5bbf",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OWID - Visualize world population growth\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of authors\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of concepts\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of funders\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of institutions\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of publishers\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of sources\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7327e523-f637-408b-b242-a9b8c52af5a7",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# OpenAlex - Get lists of works\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1ed72b90-de08-425a-8a76-f4175a522417",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Pandas - Apply custom styles on column\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e291550a-7c42-4583-b7d7-42e48d0427dd",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Pandas - Check if column is in date format\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0bfa6886-f151-4278-a7ae-f199fe1f25c1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Pandas - Format URL as clickable link on column\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5a856e15-816f-4878-b992-b440f2fd1e3b",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Polars - Concatenate DataFrames\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1889751c-f97e-4792-8429-7dab25ec885f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Polars - Create DataFrame\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1889751c-f97e-4792-8429-7dab25ec885f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Polars - Select columns\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1889751c-f97e-4792-8429-7dab25ec885f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Polars - Select rows\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1889751c-f97e-4792-8429-7dab25ec885f",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Polars - Select both rows and columns\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "25f38b3f-5cb5-4700-ba73-fb24646dd3ca",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# PyPI - Get release dates from package\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fc2ec1bd-580b-43a1-a8f5-a709666c7a58",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Check if string is number\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert degrees-minutes-seconds to decimal degrees\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "compressed-wilson",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert coordinates to degrees-minutes-seconds\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert length\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert speed\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "03d78797-4963-40a9-999b-e3febc4b0f24",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert string boolean to boolean\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert temperature\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert time\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert volume\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7da76030-0b3c-4c2f-9e7b-36043d3cd1a1",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Convert weight\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "proved-olympus",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Python - Download audio file from URL\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "05581a5e-0a6d-451d-9e31-d08baecb7058",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Request - Handling Errors and Exceptions\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "sealed-trainer",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2021-01-26T14:10:27.020371Z",
+ "iopub.status.busy": "2021-01-26T14:10:27.020098Z",
+ "iopub.status.idle": "2021-01-26T14:10:27.023428Z",
+ "shell.execute_reply": "2021-01-26T14:10:27.022739Z",
+ "shell.execute_reply.started": "2021-01-26T14:10:27.020304Z"
+ },
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Slack - Send blocks to channel\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e4314bb1-630a-4910-8664-3a58c04f0fa2",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Trello - Create Card\n",
+ "\"Trello - Retrieve list id\"
\n", + "- `card_details`: is a list that contains dictionaries representing the name and description of cards to be created on the Trello board." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef678151-5b31-4645-8d92-e8f624472ca6", + "metadata": { + "papermill": {}, + "tags": [] + }, + "outputs": [], + "source": [ + "api_key = naas.secret.get(\"TRELLO_API_KEY\") or \"YOUR_TRELLO_API_KEY\"\n", + "force_update = False\n", + "board_id = \"ogBhOe9a\" #Example: \"https://trello.com/b/ogBhOe9a/ultimate-to-do-list\"\n", + "list_id = \"649d8b3c9f796ee9d57a765d\" #Example: \"649d8b3c9f796ee9d57a765d\"\n", + "\n", + "#Example with several cards\n", + "card_details = [\n", + " {\"name\": \"Call at 9:00 PM this Monday\", \"desc\": \"Don't forget to do this call, it's very important\"},\n", + " {\"name\": \"Meeting with the team\", \"desc\": \"Discuss project updates and action items\"},\n", + " {\"name\": \"Send report to the client\", \"desc\": \"Include sales figures and recommendations\"},\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "574140c3-306b-48f3-9f19-ee97151084ff", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "## Model" + ] + }, + { + "cell_type": "markdown", + "id": "2318bf65-12ed-45a8-8cfb-c1f889b297a4", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "### Get your token\n", + "Your Trello token will be stored on naas secret name: \"TRELLO_TOKEN\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98147739-b010-4936-8205-552412504d39", + "metadata": { + "papermill": {}, + "tags": [] + }, + "outputs": [], + "source": [ + "def get_token(api_key, force_update):\n", + " token = naas.secret.get(\"TRELLO_TOKEN\")\n", + " if not token or force_update:\n", + " url = f\"https://trello.com/1/authorize?expiration=never&scope=read,write,account&response_type=token&key={api_key}\"\n", + " print(f\"🔗 Click on the URL to get your token: {url}\")\n", + " print(\"✅ On the authorization page, click on 'Authorize' button at the bottom of the page to proceed.\")\n", + " print(\"💾 Copy/Paste the token in red in the input case below\")\n", + " token = input(\"-> Enter your token here:\")\n", + " naas.secret.add(\"TRELLO_TOKEN\", token)\n", + " return token\n", + " \n", + "token = get_token(api_key, force_update)" + ] + }, + { + "cell_type": "markdown", + "id": "400c2ad1-a0a6-49c4-8a79-a29c3d66aa8d", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "### Create Card" + ] + }, + { + "cell_type": "markdown", + "id": "767ab44a-bacb-420a-ab8d-76b4a9f17228", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "This function will create one or several card on a Trello board using the API.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56d84ea9-48e7-4642-96d2-9999eaf33f02", + "metadata": { + "papermill": {}, + "tags": [] + }, + "outputs": [], + "source": [ + "def create_card(api_key, token, board_id, list_id, name, desc):\n", + " url = \"https://api.trello.com/1/cards\"\n", + " querystring = {\n", + " \"key\": api_key,\n", + " \"token\": token,\n", + " \"idBoard\": board_id,\n", + " \"idList\": list_id,\n", + " \"name\": name,\n", + " \"desc\": desc,\n", + " }\n", + " response = requests.request(\"POST\", url, params=querystring)\n", + " if response.status_code == 200:\n", + " return response.json()\n", + " else:\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "id": "f8802feb-74f4-4347-a7ca-c15c9cbadf82", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "## Output" + ] + }, + { + "cell_type": "markdown", + "id": "073eff49-9382-413a-9819-411c03faefca", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + "### Display Result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79ca43a4-b149-4b21-b73e-384f383e0955", + "metadata": { + "papermill": {}, + "tags": [] + }, + "outputs": [], + "source": [ + "for card_info in card_details:\n", + " card = create_card(api_key, token, board_id, list_id, card_info[\"name\"], card_info[\"desc\"])\n", + " if card:\n", + " print(\"✅ Card Created:\")\n", + " print(\"🆔 ID:\", card[\"id\"])\n", + " print(\"- Name:\", card[\"name\"])\n", + " print(\"- Description:\", card[\"desc\"])\n", + " print(\"--------------------\")\n", + " else:\n", + " print(\"❌ Failed to create card.\")\n", + " print(\"--------------------\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + }, + "naas": { + "notebook_id": "bda97c0086e67e89ca713c307c134464ce0269066c8eb0398f343df74d61d809", + "notebook_path": "Trello/Trello_Create_Card.ipynb" + }, + "papermill": { + "default_parameters": {}, + "environment_variables": {}, + "parameters": {}, + "version": "2.4.0" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/Trello/Trello_Get_Cards_on_a_Board.ipynb b/Trello/Trello_Get_Cards_on_a_Board.ipynb new file mode 100644 index 0000000000..8c437fa4ff --- /dev/null +++ b/Trello/Trello_Get_Cards_on_a_Board.ipynb @@ -0,0 +1,356 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e3f41c66-54b7-4f06-9881-9a9991bf43d1", + "metadata": { + "papermill": {}, + "tags": [] + }, + "source": [ + ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dbc4cf57-1769-4639-bc72-0377bb682bf5",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Trello - Get Cards on a Board\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "undefined-victory",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Trello - Get Lists on a Board\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0668489a-c4b7-40b7-a300-d8b447c1c945",
+ "metadata": {
+ "papermill": {},
+ "tags": []
+ },
+ "source": [
+ "# Trello - List Boards\n",
+ "![](\"https://naasai-public.s3.eu-west-3.amazonaws.com/open_in_naas.svg\"/)
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"#video", "#npl", "#naas_drivers", "#content", "#snippet", "#text"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/ACoAABCNSioBW3YZHc2lBHVG0E_TXYWitQkmwog/", "updated_at": "2023-04-12", "created_at": "2022-03-18", "description": "This notebook provides a summary of a YouTube video, allowing users to quickly understand the content of the video.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/YouTube/YouTube_Summarize_video.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/YouTube/YouTube_Summarize_video.ipynb", "imports": ["naas_drivers.youtube"], "image_url": ""}, {"objectID": "e62887290cc7a4c0b82ec67c82df44f9f6236be9992da26426b64649630170c0", "tool": "ZIP", "notebook": "Extract files", "action": "", "tags": ["#zip", "#extract", "#file", "#operations", "#snippet", "#naas"], "author": "Maxime Jublou", "author_url": "https://www.linkedin.com/in/maximejublou", "updated_at": "2023-04-12", "created_at": "2021-03-01", "description": "This notebook allows users to extract files from a ZIP archive.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/ZIP/ZIP_Extract_files.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/ZIP/ZIP_Extract_files.ipynb", "imports": ["zipfile", "os", "pprint.pprint"], "image_url": ""}, {"objectID": "86607d1e05a7be9ceac61f0f3b044a650e57614b93b448afc38002e40ae92ade", "tool": "Zapier", "notebook": "Trigger workflow", "action": "", "tags": ["#zapier", "#nocode", "#operations", "#snippet"], "author": "Jeremy Ravenel", "author_url": "https://www.linkedin.com/in/ACoAAAJHE7sB5OxuKHuzguZ9L6lfDHqw--cdnJg/", "updated_at": "2023-04-12", "created_at": "2021-03-01", "description": "This notebook allows you to create automated 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"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/ZeroBounce/ZeroBounce_Validate_Single_Email.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/ZeroBounce/ZeroBounce_Validate_Single_Email.ipynb", "imports": ["requests", "naas", "pprint.pprint"], "image_url": ""}, {"objectID": "9393d951ab135f69cd1aadae8c73b1974891c6586136f3e62aa631501ed53fab", "tool": "gTTS", "notebook": "Save Text to Speech to MP3", "action": "", "tags": ["#gTTS", "#texttospeech", "#mp3", "#python", "#library", "#audio"], "author": "Sriniketh Jayasendil", "author_url": "http://linkedin.com/in/sriniketh-jayasendil/", "updated_at": "2023-04-12", "created_at": "2023-03-02", "description": "This notebook will demonstrate how to use the gTTS library to save text to speech as an MP3 file.", "open_in_lab": 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\ No newline at end of file
diff --git a/update_notebook.ipynb b/update_notebook.ipynb
deleted file mode 100644
index 99a85c5b76..0000000000
--- a/update_notebook.ipynb
+++ /dev/null
@@ -1,503 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "id": "latin-packing",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2021-02-23T14:22:16.610471Z",
- "iopub.status.busy": "2021-02-23T14:22:16.610129Z",
- "iopub.status.idle": "2021-02-23T14:22:16.627784Z",
- "shell.execute_reply": "2021-02-23T14:22:16.626866Z",
- "shell.execute_reply.started": "2021-02-23T14:22:16.610384Z"
- },
- "papermill": {},
- "tags": []
- },
- "source": [
- ""
- ]
- },
- {
- "cell_type": "markdown",
- "id": "compressed-wilson",
- "metadata": {
- "papermill": {},
- "tags": []
- },
- "source": [
- "# Awesome Notebooks - Update\n",
- "\n",
- "\n",
- ""
- ]
- },
- {
- "cell_type": "markdown",
- "id": "religious-programmer",
- "metadata": {},
- "source": [
- "**Tags:** #jupyter #awesome-notebooks"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "1fe9f56e-561c-4f52-aef8-b861c9462107",
- "metadata": {},
- "source": [
- "**Author:** [Florent Ravenel](https://www.linkedin.com/in/florent-ravenel/)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "2410f9fb-bab6-4840-8897-50ed511b5636",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2023-02-07T09:20:13.967175Z",
- "iopub.status.busy": "2023-02-07T09:20:13.966946Z",
- "iopub.status.idle": "2023-02-07T09:20:13.975072Z",
- "shell.execute_reply": "2023-02-07T09:20:13.974190Z",
- "shell.execute_reply.started": "2023-02-07T09:20:13.967152Z"
- },
- "tags": []
- },
- "source": [
- "**Description:** This notebook update all notebooks in this repository based on specific rules."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "distinguished-truth",
- "metadata": {
- "papermill": {},
- "tags": []
- },
- "source": [
- "## Input"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "numeric-mediterranean",
- "metadata": {},
- "source": [
- "### Import libraries"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "potential-surfing",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "import glob\n",
- "import naas\n",
- "import requests\n",
- "import pandas as pd\n",
- "from pprint import pprint\n",
- "import json\n",
- "try:\n",
- " import openai\n",
- "except:\n",
- " !pip install openai --user\n",
- " import openai\n",
- "import uuid\n",
- "import time\n",
- "import subprocess\n",
- "import re"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "03342ab4-3fc9-4f44-bcda-0a42dbe00e06",
- "metadata": {},
- "source": [
- "### Setup Variables"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "00eceaac-3b26-4997-a679-234905636c26",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "# Inputs\n",
- "repo_url = \"https://github.com/jupyter-naas/awesome-notebooks\"\n",
- "GITHUB_TOKEN = naas.secret.get(\"GITHUB_TOKEN\")\n",
- "openai.api_key = naas.secret.get(name=\"OPENAI_API_KEY\") or \"ENTER_YOUR_OPENAI_API_KEY\""
- ]
- },
- {
- "cell_type": "markdown",
- "id": "registered-showcase",
- "metadata": {},
- "source": [
- "## Model"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "6b3c7732-8e39-41d8-be47-4a2288c7d809",
- "metadata": {
- "execution": {
- "iopub.execute_input": "2022-01-22T13:48:53.656270Z",
- "iopub.status.busy": "2022-01-22T13:48:53.656043Z",
- "iopub.status.idle": "2022-01-22T13:48:53.658818Z",
- "shell.execute_reply": "2022-01-22T13:48:53.658211Z",
- "shell.execute_reply.started": "2022-01-22T13:48:53.656247Z"
- },
- "papermill": {},
- "tags": []
- },
- "source": [
- "### Get current notebooks from master branch"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "e7982fe6-3105-493c-bda3-1887d6908f6c",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "def get_notebooks(commit_id):\n",
- " notebooks = []\n",
- " headers = {'Authorization': f'token {GITHUB_TOKEN}'}\n",
- " url = f\"https://api.github.com/repos/jupyter-naas/awesome-notebooks/git/trees/{commit_id}?recursive=1\"\n",
- " res = requests.get(url, headers=headers)\n",
- " res.raise_for_status()\n",
- " res_json = res.json()\n",
- "\n",
- " trees = res_json.get(\"tree\")\n",
- " for file in trees:\n",
- " if \".github\" not in file.get(\"path\") and \".gitignore\" not in file.get(\"path\") and \"/\" in file.get(\"path\"):\n",
- " if file.get(\"path\").endswith(\".ipynb\"):\n",
- " temp = file.get(\"path\").split(\"/\")\n",
- " if temp == -1:\n",
- " data = {\n",
- " \"ROOT\": None,\n",
- " \"SUBDIR\": file.get(\"path\"),\n",
- " \"ID\": file.get(\"sha\"),\n",
- " \"URL\": file.get(\"url\"),\n",
- " }\n",
- " notebooks.append(data)\n",
- " else:\n",
- " last_folder = \"\"\n",
- " file_name = temp[-1]\n",
- " temp.pop()\n",
- " for folder in temp:\n",
- " last_folder += \"/\" + folder\n",
- " root = last_folder[1:]\n",
- " data = {\n",
- " \"ROOT\": root,\n",
- " \"SUBDIR\": file_name,\n",
- " \"ID\": file.get(\"sha\"),\n",
- " \"URL\": file.get(\"url\"),\n",
- " }\n",
- " notebooks.append(data)\n",
- " df = pd.DataFrame(notebooks)\n",
- " df[\"CONTENT_URL\"] = \"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/\" + df[\"ROOT\"] + \"/\" + df[\"SUBDIR\"]\n",
- " df[\"GITHUB_URL\"] = (\"https://github.com/jupyter-naas/awesome-notebooks/blob/master/\" + df[\"ROOT\"] + \"/\" + df[\"SUBDIR\"]).str.replace(\" \", \"%20\")\n",
- " return df\n",
- "\n",
- "df_notebooks = get_notebooks(\"master\")\n",
- "print(\"-> Awesome Notebooks fecthed:\", len(df_notebooks))\n",
- "df_notebooks.head(1)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "9b3f057c-c370-4abe-be5e-701690e93150",
- "metadata": {},
- "source": [
- "### Get all notebooks in locals"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "eee7e7d5-a5c0-4468-a604-44df9377585f",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "notebooks = sorted(glob.glob('*/*.ipynb', recursive=True))\n",
- "print(\"-> Local Notebooks fecthed:\", len(notebooks))\n",
- "notebooks[0]"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "83e4bbb8-f730-4d17-99ed-c794a14ddf4b",
- "metadata": {},
- "source": [
- "### Create notebook description"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "17eeac7e-1db2-43a7-b63c-4ec6d82c7212",
- "metadata": {
- "tags": []
- },
- "outputs": [],
- "source": [
- "def create_description(title):\n",
- " # Create completion\n",
- " response = openai.Completion.create(\n",
- " model=\"text-davinci-003\",\n",
- " prompt=f'Can you create a description for this notebook in one sentence: \"{title}\"',\n",
- " temperature=0,\n",
- " max_tokens=2084,\n",
- " )\n",
- "\n",
- " # Extract the generated text\n",
- " text = response[\"choices\"][0][\"text\"].strip()\n",
- " \n",
- " # Sleep\n",
- " time.sleep(3)\n",
- " return text\n",
- "\n",
- "# title = \"Excel - Apply Custom Styles\"\n",
- "# create_description(title)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "tested-astrology",
- "metadata": {},
- "source": [
- "### Update notebook"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "crude-louisville",
- "metadata": {
- "papermill": {},
- "tags": []
- },
- "outputs": [],
- "source": [
- "def update_notebook(notebook_path):\n",
- " # Init \n",
- " new_cells = []\n",
- " \n",
- " \n",
- " # Open notebook\n",
- " with open(notebook_path) as f:\n",
- " nb = json.load(f)\n",
- " \n",
- " # Get all cellls\n",
- " cells = nb.get(\"cells\")\n",
- " \n",
- " # Title\n",
- " title = cells[1]\n",
- " title_type = title.get(\"cell_type\")\n",
- " title_source = title.get(\"source\")[0].replace(\"#\", \"\").strip()\n",
- " \n",
- " # Description\n",
- " desc = cells[4]\n",
- " desc_type = desc.get(\"cell_type\")\n",
- " desc_source = desc.get(\"source\")\n",
- " if isinstance(desc_source, list):\n",
- " desc_source = desc_source[0]\n",
- " \n",
- " # ## Input\n",
- " section_i = cells[5]\n",
- " section_i_type = section_i.get(\"cell_type\")\n",
- " section_i_source = section_i.get(\"source\")[0]\n",
- " \n",
- " # Check description\n",
- " create_desc = False\n",
- " rewrite_desc = False\n",
- " if desc_type == \"markdown\" and desc_source == '## Input':\n",
- " print(f\"Creating description: {title_source}\")\n",
- " create_desc = True\n",
- " description = create_description(title_source)\n",
- " new_description = f\"**Description:** {description}\"\n",
- " print(new_description)\n",
- "\n",
- " elif desc_type == \"markdown\" and not desc_source.startswith(\"**Description:**\") and (section_i_source == '## Input' or section_i_source.startswith(\"