JupyterExample.ipynb

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  "language_info": {
   "name": "python",
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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "1\n"
    }
   ],
   "source": [
    "print(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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rdzF8UgrLNmVzWY9mPHJZZxJqqamaFK1Y+/jNLAnoCcw7yrRbgY9Dbjsw08wceNndxxXx2MOAYQCJiYnFKUskLh04nMefP13BK1+tpmHtqrxyQzIXdm4c67KkDAg7+M2sFjAJuMfd9xQxpz+B4D8zZLifu2eZWSNglpktc/c5Be8b/IUwDgInWy/GaxCJO3NXb2fEpBTWbt/PNb1bMmJgJ+pWV1M1CU9YwW9mlQmE/lvuPrmIOd2BV4GB7r79yLi7ZwX/3WJmU4DewE+CX0SOLftgDk9+vIy35q0jsUEN3r6tD33bqqmaFE84R/UY8Bqw1N2fLWJOIjAZuN7dV4SM1wQqBL8bqAlcBIyOSOUicebzZZsZOSWNzXsOctuZrfntRe2pUUVHZEvxhfOu6QdcD6Sa2aLg2ANAIoC7jwUeBk4CXgoeRXDksM3GwJTgWCXgbXf/JKKvQKSc2773EKOnpfPBoizaN67FS9f1pWeimqrJ8QvnqJ6vgaMeE+butwG3FTK+Guhx3NWJxDF358OUjYyauoTsgzn8+vx23NW/LVUqqd2CnBh9ThQphTbtPsiD76fy6dIt9GhRl6eu7kPHJmqqJpGh4BcpRdydd39Yz+MfLSUnP5+Rgzpxy5mtqah2CxJBCn6RUmLttn3cPzmV71Zv5/Q2DXjyyu4kJdSMdVlSDin4RWIsL98Z//Ua/jRrOZUrVOCJK7sx9LSWarcgJUbBLxJDyzdlc9/ExSzO3M0FnRox5opuNKlbLdZlSTmn4BeJgcO5+bw4O4OXvsigdrXK/OWanlzWvam28iUqFPwiUbZo/S7um7iYFZv3MviUZjxyWRca1KwS67Ikjij4RaJk/+Fcnp25gvHfrKFR7Wq8dmMy53dSUzWJPgW/SBR8m7GNEZNTWbdjP9f1SWT4wI7UqaamahIbCn6RErT7QA5PTF/Kuz+sJ+mkGrw77HROb3NSrMuSOKfgFykhs9I38+D7qWzNPsTtZ7fhngvaU71KxViXJaLgF4m0bXsPMWrqEqalbKRjk9q8ckMy3VvUi3VZIv+h4BeJEHfng0VZPPrhEvYeyuW3F7bnjnNOVlM1KXUU/CIRkLXrACOnpDJ7+VZOaVmPp6/uTvvGtWNdlkihFPwiJyA/33nr+3U89fEy8vKdhy7tzE19k9RUTUq1Y34GNbOWZjbbzJaa2RIz+3Uhc8zM/mJmGWaWYma9QpbdaGYrg5cbI/0CRGJlzbZ9DH1lLg+9n0aPlnWZcc/Z3KpOmlIGhLPFnwv8zt0XmlltYIGZzXL39JA5A4F2wUsf4G9AHzNrADwCJAMevO9Ud98Z0VchEkW5efm8+vUanpu1giqVKvD0Vd35WXILtVuQMiOcM3BtBDYGr2eb2VKgORAa/IOBCe7uwFwzq2dmTYFzgVnuvgPAzGYBA4B3IvoqRKIkPWsPwyelkLphNxd2bsyYK7rSuI6aqknZUqx9/GaWBPQE5hVY1BxYH3I7MzhW1LhImXIoN48XPs/gb1+sol6Nyrx4bS8GdWuirXwpk8IOfjOrBUwC7nH3PQUXF3IXP8p4YY8/DBgGkJiYGG5ZIiVuwY87GT4phYwtexnSszkPX9qZ+mqqJmVYWMFvZpUJhP5b7j65kCmZQMuQ2y2ArOD4uQXGvyjsOdx9HDAOIDk5udBfDiLRtO9QLn+cuZw3vl1L0zrVeP3m0+jfoVGsyxI5YccMfgt8ln0NWOruzxYxbSpwt5m9S+DL3d3uvtHMZgCPm1n94LyLgPsjULdIifpq5Vbun5xK5s4D3HBGK+4b0JFaVXX0s5QP4byT+wHXA6lmtig49gCQCODuY4HpwCAgA9gP3BxctsPMHgN+CN5v9JEvekVKo937c/jD9HTem59J64SavHf7GfRu3SDWZYlEVDhH9XxN4fvqQ+c4cFcRy8YD44+rOpEo+iRtEw99kMaOfYe589yT+fX57ahWWU3VpPzRZ1eJe1uzA03VPkrdSKemdRh/42l0a1E31mWJlBgFv8Qtd2fywg2MnpbOgcN53HtxB4ad3YbKFdVUTco3Bb/Epcyd+3lgShpzVmzl1Fb1eeqq7rRtVCvWZYlEhYJf4kp+vvOPeT/y1MfLcGDUZZ254YwkKqi/jsQRBb/EjVVb9zJiUgo/rN3JWe0SeHxIN1o2qBHrskSiTsEv5V5OXj6vfLWaP3+6kmqVKvDM1d25+lQ1VZP4peCXci1tw26GT0phSdYeBnRpwugrutCotpqqSXxT8Eu5dDAnj798tpKX56ymfo0q/O26Xgzs1jTWZYmUCgp+KXfmr93BfZNSWL11H1ef2oIHL+lEvRpqqiZyhIJfyo29h3J55pNlTJj7I83qVmfCLb05u33DWJclUuoo+KVc+HLFVh6YnErW7gPceEYS917cgZpqqiZSKP3PkDJt1/7DPDZtKZMWZtKmYU3+dfsZJCepqZrI0Sj4pcyanrqRhz9IY+f+HO7qfzK/Ok9N1UTCoeCXMmfLnoM8/MESPlmyiS7N6vDmLb3p0kxN1UTCpeCXMsPd+deCTMZMS+dgbj7DB3Tkl2e1ppKaqokUi4JfyoT1O/bzwJRUvlq5jdOS6vPkVd05uaGaqokcj3BOvTgeuBTY4u5dC1l+L3BdyON1AhoGz761FsgG8oBcd0+OVOESH/LynQnfreWZGcsx4LHBXbiuTys1VRM5AeFs8b8BvABMKGyhuz8DPANgZpcBvylwesX+7r7tBOuUOJSxJZv7JqawcN0uzmnfkD8M6UqL+mqqJnKiwjn14hwzSwrz8a4B3jmRgkRy8vJ5+ctV/OWzDGpUrciz/9ODIT2bq6maSIREbB+/mdUABgB3hww7MNPMHHjZ3cdF6vmkfErN3M29ExezbFM2l3RvyqjLutCwdtVYlyVSrkTyy93LgG8K7Obp5+5ZZtYImGVmy9x9TmF3NrNhwDCAxMTECJYlZcHBnDz+/OlKXvlqNQ1qVuHl60/l4i5NYl2WSLkUyeAfSoHdPO6eFfx3i5lNAXoDhQZ/8NPAOIDk5GSPYF1Sys1bvZ0Rk1NZs20fP09uyQODOlG3RuVYlyVSbkUk+M2sLnAO8IuQsZpABXfPDl6/CBgdieeT8iH7YA5Pf7Kcv8/9kRb1q/OPW/twZruEWJclUu6FczjnO8C5QIKZZQKPAJUB3H1scNoQYKa77wu5a2NgSvALuUrA2+7+SeRKl7Js9rItjJySysY9B7mlX2t+f3F7alTRn5WIREM4R/VcE8acNwgc9hk6throcbyFSfm0Y99hHpuWzpR/b6Bdo1pMvKMvp7aqH+uyROKKNrEkKtydj1I38sgHS9h9IIf/O68td53XlqqV1FRNJNoU/FLiNu85yIPvpzErfTPdmtflH7f1oVPTOrEuSyRuKfilxLg7781fz5iPlnI4N5/7B3bk1jPVVE0k1hT8UiLWbd/PiMkpfLtqO71bN+Cpq7rTOqFmrMsSERT8EmF5+c7r36zhTzNXULGCMeaKrlzbO1FN1URKEQW/RMyKzYGmaovW7+K8jo0Yc0VXmtWrHuuyRKQABb+csMO5+fzti1W8MHsltapW4vmhp3B5j2ZqqiZSSin45YQsXr+L4ZNSWLYpm8t6NGPUZZ05qZaaqomUZgp+OS4HDufx3KcrePWr1TSsXZVXbkjmws6NY12WiIRBwS/F9t2q7dw/OYW12/dzTe+W3D+oE3WqqamaSFmh4Jew7TmYw5MfL+PteetIbFCDt2/rQ9+2aqomUtYo+CUsny3dzMgpaWzJPsgvz2rNby/sQPUqarcgUhYp+OWotu89xKMfpjN1cRYdGtdm7PWnckrLerEuS0ROgIJfCuXuTF2cxaMfppN9MId7LmjH/57bliqV1G5BpKxT8MtPbNx9gAenpPHZsi30aFmPp6/qTocmtWNdlohEiIJf/iM/33n3h/U8MX0pOfn5PHhJJ27u15qKarcgUq4c83O7mY03sy1mllbE8nPNbLeZLQpeHg5ZNsDMlptZhpmNiGThEllrt+3j2lfn8sCUVLo2r8uMe87mtrPaKPRFyqFwtvjfAF4AJhxlzlfufmnogJlVBF4ELgQygR/MbKq7px9nrVICcvPyGR9sqlalYgWevLIbPz+tpdotiJRj4Zx6cY6ZJR3HY/cGMoKnYMTM3gUGAwr+UmLZpj0Mn5jC4szdXNCpEWOu6EaTutViXZaIlLBI7eM/w8wWA1nA7919CdAcWB8yJxPoU9QDmNkwYBhAYmJihMqSwhzKzePF2at4aXYGdatX5q/X9OTS7k21lS8SJyIR/AuBVu6+18wGAe8D7YDCUsSLehB3HweMA0hOTi5ynpyYf6/byfBJKazYvJcrTmnGw5d1oUHNKrEuS0Si6ISD3933hFyfbmYvmVkCgS38liFTWxD4RCAxsP9wLn+auYLx36yhSZ1qjL8pmfM6qqmaSDw64eA3sybAZnd3M+tN4Eih7cAuoJ2ZtQY2AEOBa0/0+aT4vsnYxojJKazfcYDr+iQyYmBHaqupmkjcOmbwm9k7wLlAgpllAo8AlQHcfSxwNXCnmeUCB4Ch7u5ArpndDcwAKgLjg/v+JUp2H8jhielLefeH9SSdVIN3h53O6W1OinVZIhJjFsjo0iU5Odnnz58f6zLKtJlLNvHg+2ls23uIX57dht9c0J5qldVUTaS8MrMF7p4czlz95W45s23vIUZNXcK0lI10bFKbV29MpnsLNVUTkf9PwV9OuDvvL9rAox+ms/9QHr+7sD23n3OymqqJyE8o+MuBrF0HGDklldnLt9IzMdBUrV1jNVUTkcIp+Muw/Hznre/X8eT0peQ7PHxpZ27sm6T+OiJyVAr+Mmr11r2MmJTK92t3cGbbBJ64shstG9SIdVkiUgYo+MuY3Lx8Xv16Dc/NWkGVShV4+qru/Cy5hdotiEjYFPxlSHrWHu6btJi0DXu4qHNjHruiK43rqKmaiBSPgr8MOJSbxwufZ/C3L1ZRr0ZlXry2F4O6NdFWvogcFwV/Kbfgxx0Mn5RKxpa9XNmrOQ9d0pn6aqomIidAwV9K7TuUyzMzlvPmd2tpVrc6b9x8Gud2aBTrskSkHFDwl0JfrdzK/ZNTydx5gBvOaMV9AzpSq6p+VCISGUqTUmT3/hzGfJTOvxZk0iahJu/dfga9WzeIdVkiUs4o+EuJT9I28dAHaezYd5g7zz2ZX5/fTk3VRKREKPhjbEv2QUZNXcL01E10blqH1286ja7N68a6LBEpxxT8MeLuTFq4gcempXMgJ497L+7AsLPbULmimqqJSMlS8MdA5s79PDAljTkrtnJqq/o8dVV32jaqFeuyRCROhHMGrvHApcAWd+9ayPLrgOHBm3uBO919cXDZWiAbyANywz1JQHmVn+/8fe6PPPXJMgAevbwL15/eigpqqiYiURTOFv8bwAvAhCKWrwHOcfedZjYQGAf0CVne3923nVCV5cCqrXsZPjGF+T/u5Kx2CTw+RE3VRCQ2jhn87j7HzJKOsvzbkJtzgRYnXlb5kZOXz7g5q3n+s5VUr1yRP/6sB1f1aq52CyISM5Hex38r8HHIbQdmmpkDL7v7uKLuaGbDgGEAiYmJES4rNtI27Gb4pBSWZO1hULcmjLq8C41qq6maiMRWxILfzPoTCP4zQ4b7uXuWmTUCZpnZMnefU9j9g78UxkHgZOuRqisWDubk8ZfPVvLynNXUr1GFsb/oxYCuTWNdlogIEKHgN7PuwKvAQHfffmTc3bOC/24xsylAb6DQ4C8vfli7g+ETU1i9bR8/O7UFD17Smbo1Kse6LBGR/zjh4DezRGAycL27rwgZrwlUcPfs4PWLgNEn+nyl1d5DuTz9yTImfPcjzetVZ8ItvTm7fcNYlyUi8hPhHM75DnAukGBmmcAjQGUAdx8LPAycBLwU/MLyyGGbjYEpwbFKwNvu/kkJvIaY+3LFVh6YnErW7gPc1DeJey/uQE01VRORUiqco3quOcby24DbChlfDfQ4/tJKv137DzN6WjqTF27g5IY1+dftZ5CcpKZqIlK6abP0OLg7H6dt4uEP0ti1P4e7+7fl7vPaqqmaiJQJCv5i2rLnIA99kMaMJZvp2rwOb97Smy7N1FRNRMoOBX+Y3J1/LchkzLT2N2WNAAAI1ElEQVR0DubmM3xAR355VmsqqamaiJQxCv4wrN+xn/snp/J1xjZ6JzXgyau60aahmqqJSNmk4D+KvHxnwndrefqT5VQweGxwF67ro6ZqIlK2KfiLkLElm/smprBw3S7Oad+Qx6/sRvN61WNdlojICVPwF5CTl8/YL1bx188zqFG1Is/9vAdXnKKmaiJSfij4Q6Rm7ubeiYtZtimbS7o35dHLu5BQq2qsyxIRiSgFP4Gmas99uoJX5qwmoVZVXr7+VC7u0iTWZYmIlIi4D/55q7czYnIqa7bt4+fJLXngkk7Ura6maiJSfsVt8GcfzOGpT5bxj7nraNmgOm/d1od+bRNiXZaISImLy+CfvWwLI6eksnHPQW49szW/u6g9NarE5aoQkTgUV2m3Y99hHpuWzpR/b6Bdo1pMurMvvRLrx7osEZGoiovgd3empWxk1NQl7D6Qw/+d3467+p9M1UpqqiYi8afcB//mPQcZOSWNT5dupnuLuvzjtj50alon1mWJiMRMWB3GzGy8mW0xs7QilpuZ/cXMMswsxcx6hSy70cxWBi83RqrwY3F33v1+HRc8+yVfrdzKA4M6MvnOvgp9EYl74W7xvwG8AEwoYvlAoF3w0gf4G9DHzBoQOGNXMuDAAjOb6u47T6ToY1m3fT8jJqfw7art9GndgKeu6k5SQs2SfEoRkTIjrOB39zlmlnSUKYOBCe7uwFwzq2dmTQmcsnGWu+8AMLNZwADgnRMpuih5+c7r36zhjzOXU6lCBf4wpCvXnJaopmoiIiEitY+/ObA+5HZmcKyo8YjbvT+HG1//nkXrd3Fex0b8YUhXmtZVUzURkYIiFfyFbVL7UcZ/+gBmw4BhAImJicUuoE71SrQ6qQY390vi8h7N1FRNRKQIkTp9VCbQMuR2CyDrKOM/4e7j3D3Z3ZMbNmxY7ALMjOeH9mSwOmmKiBxVpIJ/KnBD8Oie04Hd7r4RmAFcZGb1zaw+cFFwTEREYiSsXT1m9g6BL2oTzCyTwJE6lQHcfSwwHRgEZAD7gZuDy3aY2WPAD8GHGn3ki14REYmNcI/queYYyx24q4hl44HxxS9NRERKQqR29YiISBmh4BcRiTMKfhGROKPgFxGJMwp+EZE4Y4EDckoXM9sK/Hicd08AtkWwnEhRXcWjuopHdRVPeayrlbuH9devpTL4T4SZzXf35FjXUZDqKh7VVTyqq3jivS7t6hERiTMKfhGROFMeg39crAsoguoqHtVVPKqreOK6rnK3j19ERI6uPG7xi4jIUZSZ4DezAWa2PHhC9xGFLK9qZv8MLp8XeqpIM7s/OL7czC6Ocl2/NbP04EnoPzOzViHL8sxsUfAyNcp13WRmW0Oe/7aQZTea2crg5cYo1/VcSE0rzGxXyLKSXF/jzWyLmaUVsdzM7C/BulPMrFfIspJcX8eq67pgPSlm9q2Z9QhZttbMUoPra36U6zrXzHaH/LweDll21PdACdd1b0hNacH3VIPgspJcXy3NbLaZLTWzJWb260LmRO895u6l/gJUBFYBbYAqwGKgc4E5/wuMDV4fCvwzeL1zcH5VoHXwcSpGsa7+QI3g9TuP1BW8vTeG6+sm4IVC7tsAWB38t37wev1o1VVg/q+A8SW9voKPfTbQC0grYvkg4GMCZ5U7HZhX0usrzLr6Hnk+YOCRuoK31wIJMVpf5wLTTvQ9EOm6Csy9DPg8SuurKdAreL02sKKQ/5NRe4+VlS3+3kCGu69298PAuwRO8B5qMPBm8PpE4Hwzs+D4u+5+yN3XEDhnQO9o1eXus919f/DmXAJnIStp4ayvolwMzHL3He6+E5gFDIhRXdcA70TouY/K3ecARztXxGBgggfMBeqZWVNKdn0dsy53/zb4vBC991c466soJ/LejHRd0Xx/bXT3hcHr2cBSfnr+8ai9x8pK8Idz0vb/zHH3XGA3cFKY9y3JukLdSuA3+hHVzGy+mc01sysiVFNx6roq+JFyopkdOUVmqVhfwV1irYHPQ4ZLan2Fo6jaS3J9FVfB95cDM81sgQXOaR1tZ5jZYjP72My6BMdKxfoysxoEwnNSyHBU1pcFdkP3BOYVWBS191ikTrZe0sI5afsJn/D9OBTnZPK/AJKBc0KGE909y8zaAJ+bWaq7r4pSXR8C77j7ITO7g8CnpfPCvG9J1nXEUGCiu+eFjJXU+gpHLN5fYTOz/gSC/8yQ4X7B9dUImGVmy4JbxNGwkEALgb1mNgh4H2hHKVlfBHbzfOP/fUbAEl9fZlaLwC+be9x9T8HFhdylRN5jZWWLP5yTtv9njplVAuoS+MgX9gnfS6guzOwCYCRwubsfOjLu7lnBf1cDXxDYCohKXe6+PaSWV4BTw71vSdYVYigFPoaX4PoKR1G1l+T6CouZdQdeBQa7+/Yj4yHrawswhcjt4jwmd9/j7nuD16cDlc0sgVKwvoKO9v4qkfVlZpUJhP5b7j65kCnRe4+VxBcZkb4Q+GSymsBH/yNfCHUpMOcu/vvL3feC17vw31/uriZyX+6GU1dPAl9mtSswXh+oGryeAKwkQl9yhVlX05DrQ4C5/v+/SFoTrK9+8HqDaNUVnNeBwBdtFo31FfIcSRT9ZeUl/PcXb9+X9PoKs65EAt9b9S0wXhOoHXL9W2BAFOtqcuTnRyBA1wXXXVjvgZKqK7j8yEZhzWitr+BrnwD8+ShzovYei9jKLukLgW+8VxAI0ZHBsdEEtqIBqgH/Cv4n+B5oE3LfkcH7LQcGRrmuT4HNwKLgZWpwvC+QGnzjpwK3RrmuJ4AlweefDXQMue8twfWYAdwczbqCt0cBTxa4X0mvr3eAjUAOgS2sW4E7gDuCyw14MVh3KpAcpfV1rLpeBXaGvL/mB8fbBNfV4uDPeWSU67o75P01l5BfTIW9B6JVV3DOTQQO+Ai9X0mvrzMJ7J5JCflZDYrVe0x/uSsiEmfKyj5+ERGJEAW/iEicUfCLiMQZBb+ISJxR8IuIxBkFv4hInFHwi4jEGQW/iEic+X+QrKP+hTXDggAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot([1, 2, 3])\n",
    "plt.show()\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}