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Update to jupyterlite==0.1.0b4 (#63)
* Update to `jupyterlite==0.1.0b4` * Update to `ipywidgets>=7.7,<8` * Update plotly notebook * More dependency updates * Use `piplite` * Update altair notebook
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‎content/pyolite/altair.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Altair in `JupyterLite`\n",
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"\n",
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"**Altair** is a declarative statistical visualization library for Python.\n",
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"\n",
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"Most of the examples below are from: https://altair-viz.github.io/gallery"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Import the dependencies:"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"source": [
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"# code snippet below from @lrowe: https://github.com/jtpio/jupyterlite/issues/110#issuecomment-850916083\n",
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"import micropip\n",
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"\n",
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"# Last version of jsonschema before it added the pyrsistent dependency (native code, no wheel)\n",
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"await micropip.install(\"https://files.pythonhosted.org/packages/77/de/47e35a97b2b05c2fadbec67d44cfcdcd09b8086951b331d82de90d2912da/jsonschema-2.6.0-py2.py3-none-any.whl\")\n",
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"await micropip.install(\"altair\")"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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},
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"outputs": [],
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"source": [
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"import piplite\n",
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"\n",
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"await piplite.install(\"altair\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Simple Bar Chart"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"trusted": true
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},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"import pandas as pd\n",
@@ -57,22 +58,22 @@
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" x='a',\n",
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" y='b'\n",
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")"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Simple Heatmap"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"trusted": true
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},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"import numpy as np\n",
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" y='y:O',\n",
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" color='z:Q'\n",
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")\n"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Install the Vega Dataset"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"source": [
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"await micropip.install('vega_datasets')"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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},
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"outputs": [],
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"source": [
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"await piplite.install('vega_datasets')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Interactive Average"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"trusted": true
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},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"from vega_datasets import data\n",
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")\n",
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"\n",
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"alt.layer(bars, line, data=source)"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Locations of US Airports"
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],
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"metadata": {}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"trusted": true
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},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"from vega_datasets import data\n",
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")\n",
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"\n",
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"background + points\n"
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],
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"outputs": [],
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"metadata": {
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"trusted": true
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}
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"source": [],
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"metadata": {},
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"outputs": [],
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"metadata": {}
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"source": []
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}
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],
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"metadata": {
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

‎content/pyolite/folium.ipynb

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},
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{
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"cell_type": "code",
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"source": "# Install folium requirements\nimport micropip\nawait micropip.install(\"https://opencomputinglab.github.io/vce-wheelhouse/wheelhouse/MarkupSafe-2.0.1-py2.py3-none-any.whl\")\nawait micropip.install('https://files.pythonhosted.org/packages/19/c7/fa589626997dd07bd87d9269342ccb74b1720384a4d739a1872bd84fbe68/chardet-4.0.0-py2.py3-none-any.whl')\nawait micropip.install('https://files.pythonhosted.org/packages/05/1b/0a0dece0e8aa492a6ec9e4ad2fe366b511558cdc73fd3abc82ba7348e875/certifi-2021.5.30-py2.py3-none-any.whl')\nawait micropip.install('https://files.pythonhosted.org/packages/d7/77/ff688d1504cdc4db2a938e2b7b9adee5dd52e34efbd2431051efc9984de9/idna-3.2-py3-none-any.whl')\nawait micropip.install(\"https://files.pythonhosted.org/packages/61/1f/570b0615c452265d57e4114e633231d6cd9b9d275256778a675681e4f711/branca-0.4.2-py3-none-any.whl\")\nawait micropip.install('https://files.pythonhosted.org/packages/0c/cd/1e2ec680ec7b09846dc6e605f5a7709dfb9d7128e51a026e7154e18a234e/urllib3-1.26.5-py2.py3-none-any.whl')\nawait micropip.install('https://files.pythonhosted.org/packages/80/21/ae597efc7ed8caaa43fb35062288baaf99a7d43ff0cf66452ddf47604ee6/Jinja2-3.0.1-py3-none-any.whl')\nawait micropip.install('https://files.pythonhosted.org/packages/29/c1/24814557f1d22c56d50280771a17307e6bf87b70727d975fd6b2ce6b014a/requests-2.25.1-py2.py3-none-any.whl')\n\n# Install folium \nawait micropip.install(\"https://files.pythonhosted.org/packages/c3/83/e8cb37afc2f016a1cf4caab8d22caf7fe4156c4c15230d8abc9c83547e0c/folium-0.12.1-py2.py3-none-any.whl\")",
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"source": "# Install folium requirements\nimport piplite\nawait piplite.install(\"https://opencomputinglab.github.io/vce-wheelhouse/wheelhouse/MarkupSafe-2.0.1-py2.py3-none-any.whl\")\nawait piplite.install('https://files.pythonhosted.org/packages/19/c7/fa589626997dd07bd87d9269342ccb74b1720384a4d739a1872bd84fbe68/chardet-4.0.0-py2.py3-none-any.whl')\nawait piplite.install('https://files.pythonhosted.org/packages/05/1b/0a0dece0e8aa492a6ec9e4ad2fe366b511558cdc73fd3abc82ba7348e875/certifi-2021.5.30-py2.py3-none-any.whl')\nawait piplite.install('https://files.pythonhosted.org/packages/d7/77/ff688d1504cdc4db2a938e2b7b9adee5dd52e34efbd2431051efc9984de9/idna-3.2-py3-none-any.whl')\nawait piplite.install(\"https://files.pythonhosted.org/packages/61/1f/570b0615c452265d57e4114e633231d6cd9b9d275256778a675681e4f711/branca-0.4.2-py3-none-any.whl\")\nawait piplite.install('https://files.pythonhosted.org/packages/0c/cd/1e2ec680ec7b09846dc6e605f5a7709dfb9d7128e51a026e7154e18a234e/urllib3-1.26.5-py2.py3-none-any.whl')\nawait piplite.install('https://files.pythonhosted.org/packages/80/21/ae597efc7ed8caaa43fb35062288baaf99a7d43ff0cf66452ddf47604ee6/Jinja2-3.0.1-py3-none-any.whl')\nawait piplite.install('https://files.pythonhosted.org/packages/29/c1/24814557f1d22c56d50280771a17307e6bf87b70727d975fd6b2ce6b014a/requests-2.25.1-py2.py3-none-any.whl')\n\n# Install folium \nawait piplite.install(\"https://files.pythonhosted.org/packages/c3/83/e8cb37afc2f016a1cf4caab8d22caf7fe4156c4c15230d8abc9c83547e0c/folium-0.12.1-py2.py3-none-any.whl\")",
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"metadata": {
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"trusted": true
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},

‎content/pyolite/interactive-widgets.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"import micropip\n",
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"import piplite\n",
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"\n",
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"await micropip.install('ipywidgets')"
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"await piplite.install('ipywidgets')"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"import micropip\n",
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"import piplite\n",
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"\n",
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"await micropip.install('bqplot')"
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"await piplite.install('bqplot')"
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]
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},
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{

‎content/pyolite/ipycanvas.ipynb

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},
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{
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"cell_type": "code",
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"source": "import micropip\n\nawait micropip.install('ipycanvas')",
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"source": "import piplite\n\nawait piplite.install('ipycanvas')",
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"metadata": {
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"trusted": true
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},

‎content/pyolite/ipyleaflet.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"import micropip\n",
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"import piplite\n",
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"\n",
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"await micropip.install(['bqplot', 'ipyleaflet'])"
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"await piplite.install(['bqplot', 'ipyleaflet'])"
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]
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},
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{

‎content/pyolite/matplotlib.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"import micropip\n",
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"import piplite\n",
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"\n",
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"await micropip.install('ipympl')"
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"await piplite.install('ipympl')"
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]
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},
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{

‎content/pyolite/plotly.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"import micropip\n",
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"import piplite\n",
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"\n",
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"await micropip.install('plotly')"
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"await piplite.install(['nbformat', 'plotly'])"
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]
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{
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Pyolite",
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"language": "python",
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"name": "python"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8"
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},
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"orig_nbformat": 4,
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"toc-showcode": false
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"kernelspec": {
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"display_name": "Pyolite",
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"language": "python",
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"name": "python"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8"
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},
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"orig_nbformat": 4,
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"toc-showcode": false
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎requirements.txt

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ipycanvas>=0.9.1
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ipyleaflet
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ipympl>=0.8.2
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ipywidgets>=7.6
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jupyterlab~=3.2.0
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ipywidgets>=7.7,<8
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jupyterlab~=3.3.0
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jupyterlab-drawio
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jupyterlab-language-pack-fr-FR
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jupyterlab-language-pack-zh-CN
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jupyterlab-fasta>=3,<4
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jupyterlab-geojson>=3,<4
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jupyterlab-tour
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jupyterlab_miami_nights
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jupyterlite==0.1.0b3
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jupyterlite==0.1.0b4
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jupyterlite-p5-kernel==0.1.0a12
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jupyterlite-xeus-lua==0.2.0
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jupyterlite-xeus-wren==0.1.2
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jupyterlite-xeus-sqlite==0.1.2
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jupyterlite-xeus-lua==0.3.0
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jupyterlite-xeus-wren==0.2.0
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jupyterlite-xeus-sqlite==0.2.0
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plotly>=5,<6
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theme-darcula

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