example_scenes/manim_jupyter_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from manim import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%manim -v WARNING --disable_caching -ql -s Example1\n",
    "\n",
    "class Example1(Scene):\n",
    "    def construct(self):\n",
    "        self.add(Circle())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%manim -v WARNING --disable_caching -qm HelloManim\n",
    "\n",
    "# set the maximum width for video outputs to a predefined value\n",
    "config.media_width = \"20vw\"\n",
    "\n",
    "class HelloManim(Scene):\n",
    "    def construct(self):\n",
    "        self.camera.background_color = \"#ece6e2\"\n",
    "        banner_large = ManimBanner(dark_theme=False).scale(0.7)\n",
    "        self.play(banner_large.create())\n",
    "        self.play(banner_large.expand())"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}