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Browse files- demo-dataframe-and-plots.ipynb +130 -0
- demo-slides.ipynb +137 -0
- demo.ipynb +59 -0
- welcome.md +27 -0
demo-dataframe-and-plots.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f7a8a4a6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt"
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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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"id": "af5151e2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import mercury as mr"
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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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"id": "5a9fc098",
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"metadata": {},
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"outputs": [],
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"source": [
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"# control app with App class\n",
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"app = mr.App(title=\"DataFrame & Plots π\", description=\"Showcase of Mercury Widgets\", show_code = False)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5ca6e6ea",
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"metadata": {},
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"source": [
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"# DataFrame and Plots π²π\n",
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"\n",
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"Share your notebooks with everyone thanks to Mercury framework.\n",
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"\n",
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"Please change number of samples and number of features in the left side bar. Notebook will be recomputed after widget change."
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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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"id": "8182572d",
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"metadata": {},
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"outputs": [],
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"source": [
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"samples = mr.Slider(label=\"Number of samples\", min=50, max=100, value=75)\n",
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"features = mr.Select(label=\"Number of features\", choices=[\"5\", \"10\", \"15\"], value=\"10\")"
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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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"id": "efc441f6",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = {}\n",
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"for i in range(int(features.value)):\n",
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" data[f\"Feature {i}\"] = np.random.rand(samples.value)\n",
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"df = pd.DataFrame(data)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "eba6526e",
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"metadata": {},
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"source": [
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"## Random data π²"
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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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"id": "638de41f",
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"metadata": {},
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"outputs": [],
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"source": [
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"df"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cef87336",
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"metadata": {},
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"source": [
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"## Scatter plot π"
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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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"id": "03ab6214",
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"metadata": {},
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"outputs": [],
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"source": [
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"_ = plt.plot(df[\"Feature 1\"], df[\"Feature 2\"], '*')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e42d394b",
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"metadata": {},
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"source": [
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"## Random data histogram π"
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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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"id": "6a88f486",
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"metadata": {},
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"outputs": [],
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"source": [
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"_ = plt.hist(df[\"Feature 1\"], bins=40)"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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demo-slides.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a17a3277",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"outputs": [],
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"source": [
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"import mercury as mr\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"app = mr.App(title=\"Slides demo π\", description=\"Wouldn't it be amazing to recompute slides during the show?\") "
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]
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},
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{
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"cell_type": "markdown",
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"id": "44fa382c",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Interactive presentation π"
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]
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},
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{
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"cell_type": "markdown",
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"id": "eb27c85b",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Recompute slides π₯οΈ\n",
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"\n",
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"- You can create interactive presentation with Mercury\n",
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"- Users can recompute slides by changing widgets\n",
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"- You can enter full screen by pressing **F** and exit with **Esc**\n",
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"- Please check next slides β‘οΈ\n",
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"\n"
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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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"id": "86c79f3e",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"outputs": [],
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"source": [
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"name = mr.Text(label=\"What is your name?\", value=\"Piotr\")"
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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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"id": "c5f30726",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"mr.Markdown(f\"\"\"## Hello {name.value}!\n",
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"\n",
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"{name.value}, this slide is recomputed after name change in the left side bar.\n",
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"\n",
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"Please change the name value in the left side bar and press **Enter**.\n",
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"\n",
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"Please check next slide β‘οΈ\n",
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"\n",
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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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"id": "3c6a0cb4",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"outputs": [],
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"source": [
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"samples = mr.Slider(label=\"How many samples\", value=75, min=50, max=100)\n",
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"color = mr.Select(label=\"Mark color\", value=\"blue\", choices=[\"blue\", \"green\", \"red\"])\n"
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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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"id": "1b4f4408",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"mr.Markdown(\"\"\"## Scatter plot π²\n",
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"Please change number of samples and mark color in the left side bar. The plot will be updated during the slide show.\"\"\")\n",
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"_ = plt.plot(np.random.rand(samples.value), np.random.rand(samples.value), \"*\", color=color.value)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "017d36e9",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Thank you!\n",
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" \n",
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"Please check our documentation at <a href=\"https://runmercury.com\" target=\"_blank\">RunMercury.com</a> for more information π\n",
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"\n"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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demo.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "07755adf",
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"metadata": {},
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"outputs": [],
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"source": [
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"import mercury as mr\n",
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"app = mr.App(title=\"Hello demo π\", description=\"Hello demo with Text widget\", show_code=True)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "03e09236",
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"metadata": {},
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"source": [
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"# Mercury demo π\n",
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"\n",
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"Share your notebooks with everyone thanks to Mercury framework!\n",
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"\n",
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"Please write your name in the left side bar and press **Enter** β¨οΈ \n",
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"\n",
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"The notebook will be automatically recomputed. Only cells with widget definition and below are recomputed. That's why it is fast!\n",
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"\n",
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"You can download executed notebook as HTML or PDF (just click in the left side bar).\n",
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"\n",
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"You can edit this notebook in the Jupyter Notebook, and changes will appear instantly in the Mercury.\n"
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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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"id": "9157de6f",
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"metadata": {},
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"outputs": [],
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"source": [
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"name = mr.Text(label=\"What is you name?\", value=\"Piotr\")"
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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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"id": "df533a46",
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"metadata": {},
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"outputs": [],
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"source": [
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49 |
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"mr.Markdown(f\"\"\"## Hello {name.value}! \n",
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"\n",
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"For more examples please check our documentation at <a href=\"https://runmercury.com\" target=\"_blank\">RunMercury.com<a> π\n",
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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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"nbformat": 4,
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58 |
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"nbformat_minor": 5
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}
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welcome.md
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# Welcome in Mercury π
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Mercury framework allows you easily turn Jupyter Notebooks into shareble web applications.
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You can create beautiful and interactive web applications, reports, dashboards and presentations.
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Mercury features:
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- add widgets with simple Python API,
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- simple cell execution model - widgets trigger cell execution below the widget definition,
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- hide or show notebook code,
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- share multiple notebooks,
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- executed notebook can be exported to HTML or PDF,
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- embed notebook apps on any website,
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- easily deploy (free & public Mercury cloud comming soon!)
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- easily add authentication to notebooks (comming soon!)
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- schedule automatic execution (comming soon!)
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Please check our documentation at <a href="https://runmercury.com" target="_blank">RunMercury.com</a> for more information π
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This text can be edited by changing `welcome.md` file. Demo notebooks can be edited in Jupyter.
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All files created for demo are in the current directory.
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## Demo applications
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