Nicer multi-line strings in python.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ebe81d96-cd2c-4638-ba04-45b582f9b442",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import YouTubeVideo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91e5f090-06b6-4329-a47c-0396db225941",
   "metadata": {},
   "source": [
    "# Watch the short YouTube Clip here:\n",
    "\n",
    "https://youtube.com/shorts/Zga6HHCDXPM "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43956af6-a5ea-4ba4-8766-de8ec74826b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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ilQNFKAVXajt/RWVXQUEPOxDtnaFNtyDCAfsvF1ZQplAIUSiUEoRKiUEoUSiUErr+KnqVX4jvoauPldhxU9Sq/Ed9DUHRYD8pvf5lMrbEvAflN7/MplbYgzYdzy5+YRDub2QmUXE550DyG9lv1kdyXh3uJdm2OMGCLbNUt+Je12XI53PiYNhzY0H9xM/2lBsQvPZwg7PTbUphmbUkmBzXO2jZAF416kyrinS4MbmAaCHCSDcAi23Ww3INiFlqYh4zcywqMaIDiSDlzGIsBJ8EpuOfmYHUsuZwG3aG9WvOPgg3oQhAIQhAIQhAIQhAIQhAIQhAKW6qFLNUGbhHWn732TUrhHWn732TUHgccfVWfGH0uXGrsuOPqrPjD6XLjJQShEolAIUSiUEoUSiUEoUSiUEoRKEAs23vWlZtvegeoUqEAhCEAlO1KalO1KB40UqBopQCqVZVKCj3huqsqVzzT1hWaZAQWUNqAmyir0Tae1KoU4NwLWQaEttUGNb6WVnmGk9SQwXbEmAddlkRoQs9ISRcTqbGe9TTjNaDcmYuEDswmNqsktaM7rXtFupORQuu4ptHodYxcvdfsYI8yuIBdoNCSPnr4LtuJ5/cq1oiq4f9DUHS4D8pvf5lXrujL1mAqYD8pvf5lNqtaRzmhwkWI60GMYynscT2A7wP1CZWxTKfTdHNLjY2A1J3JjadPYwXkdEd4TOTY6DAO4wgyjFUydZIzDom0a7N8KPTqY2wPdPsh09kELV6Oz2G+A3R5I5BnsN8BuhAj0luVriYDnZRIMzMRCOXBY2pBIMRa/O7Vo5FkAZRA0EadiDRbAGUQDIEIMDOEmOZnDXluUu0GgPb1z2K1fhBjHZbuP8AaJuTAHatfo1P2G/4jfPndWfSa7VoNouJtuQY6mPY1zWzmLg4iIiwkyZsmPr5WtOVxzAwAL9EuiN9itD6TXdJoPaJQ6iwgAtaQNJGiDJUxzGtDnGASALbxKkYsFoIDrkCIuJJHyIMgXWoUmiwaNmzdoo9HZbmNtEWFo08z4oENrgsD4IBMRt6WXZsUHFN5NzxLg0aAQdJ2xsK0cgzLlyty7ot4K3Jt3BBlpYtjzlabyRcEXGuqerCi2Zyid8K2UIFoTMoRlCBalmqvlCIQY+EdafvfZNSuEdafvfZNQeBxy9VZ8YfS5cWuv49R6G34wjtyuXE1YBGhIEQR5IjQoQEIoQhCAQhCAQhCAVlClALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUAqlWVSgFCrUAiTsRTByidUDEKCEikQ1jzFg51kGhCQ2o4EB0c5pIjZEW+arTrO5pdEOaTbZAQaULOyq+WTEPntFpWhAIWdlUl8EgXIggyewoZm5RwzCAG7O3rQaF2HFT1Kr8R30NXEOe8vLWwIAMnrn7Lt+KfqVX4jvoag6LAflN7/ADKbVOliecNO3XsSsB+U3v8AMplWsGFoIJzOgQJ2E38EGajjaJyQ4gukhpmZIBv4jqvZMoYyk4tY11y2QCCDHeqVTQpESMtjoHRAAF42QBruVW4vDtdIJBay4hwgAkXHVBQaKmKY0kOJEZdh/imI36K1Wu1mXMYzODR2nQLPieRyl9SS14APSMgAmIGyJPirg0qxmJNN20EaO+YlvZZBdmLpmmagdzAJJIIgROhvoqfiFKCc9g3MbHSYmI327juKS3GYbIWjokXAa6IDTbTc35KctE0+Uc065b5i6z4A36gIL/iVH29DE5TGhOsaQDdX9NpgtDjlc5zmgHaQ6NnXHiEilRw9WzG2ac1gQDIcO8XKlleiXgkOa7lHBph1yHBp6oLo7SgfXxbKZIcTIbmgAm0E+NjbqKl+Ja2nyj5a2ATIuJ3gJWajUZyxEtLNXAjmwdh6ifE71NZ1OpRDozsOUjZY28igfUrNbEmJ060hvCVEiQ+RfQE2ABJsNIIv1hVqYqgSGuuWvEc02cCQDppIInqU4Y0nMLqcw0ECxkAhpgA7Iy20QNqYhopuqCXBocTGvNmYnsKrUx1JhIc6IMGx3Sdl4AvuSGYijToMblLaXJCAWk82zQIi+oUMdh6k5G5zzZEHRwyzfqdfb3oNlKu185TOUwbEeevalNx9M5SCcrmOeHZTGVsSZjrV6GHbTLiJ5zpM+Q6kDCU4jLscNTfN0p3ygq7GMAJOYAAHoum5gWidepXo4ljyQwyWxNjtkWO3Q+Cl1BpdmIk22nYZFu1UoYRtNznNnnQI2ACYAHaSe9BRvCFMkDnCS8SWnVjg0/M2TqFZtRocwy0zfsMH5hVOFpmQWggzY9ZBPiRKvSpNY3K0QJJ7yZJ8Sgy8I60/e+yalcI60/e+yag5/jm0HCsn+s36XLjV2fHL1Vnxh9LlxaCVCEIBCEIBCEIBCEIJUqFKAWbb3rSs23vQPUKVCAQhCASnalNSnalA8aKVA0UoBVKsqlBRzJi5tuVgIUOJ2Ce9DHSAUFlQUhJ1g6jYrqUCmUQNpNoEnQKRSAy/2iArqUGVlEhwIEBswC6ddgTQ5/st/wAv/SakU68ltulm+SC/IiQSSYMgEqTTGbNJB2xtVadcG0gGTbsKtyrZiRKFJDACTtIHyn7rseKfqVb4jvoauNfWa3UgLsuKZ/cqvxHfQ1B0eA/Kb3+ZTnsDokAwZE70nAflN7/MptXQdo80FK2FZUc1zhOWY7xBUjC0xoxotFh1z5k+KrTBkTvO2YEaJrNBOsXQVdQYWhhY0tGjYsLRp2KzabRMACdbdp/U+KtKJQJGEpAQKbI3QNxHkT4qxoMyZMoy7otrPmmSiUFGUmt6LQOwf7vUGgwkHK2QSRbQkyfndMlEoKGk3LlyjLERFoGiORbkyZRkiMsWjdCvKJQKGGpgkhjZJk22ow+HbSBDBAJk+AHkAmyiUCfRKVhybYAgCNBrHYr06LWzlaBO4K8olAIRKJQCESiUAhEolBi4R1p+99k1K4R1p+99k1B4HHL1Vnxh9Llxa7Tjl6qz4w+ly4tAIQhAIQhAIQhAIQhBKlQpQCzbe9aVm296B6hSoQCEIQCU7UpqU7UoHjRSoGilAKpVlUoKVNxbIRSBDRKshBKEIQCEIQShCqHDegS2mYbbR5PdJVW0joQ486bG2sytSguA1KLZbW89xixAj5yux4oNIwdfrrPP/bYuTXYcVPUqvxHfQ1B0WA/Kb3+ZTKuxLwH5Te/zKZV2IjPQeS5wOx0CxFoB79qjD1nnOXsyhrjlG0gbVNB5JdOgcQLEJT8U9rsuQu58TBEDmxsv0if/AMlBWliqsDNTkwTMEDTS/WPmFoo1XOddsDIDoZkkyPJZqfCDs9Nr6eTNqSTA5rnWtsygGY1TK2LdLgxocA0EOuQbgHTt+XaiUH4twJApOMOjTW5gjwTqFUvBMRcgdcWJ7JSqmIeM3M5oqMaDckg5cxiNknwS2458sDqWXM4DU7Q3+3XnHwQNo4h5LAWRLQSYIjXeOoDvVa2Jewv/AGZcB0YB3D/34Jpqu5QNyc0jpzpraI/VWa8mo4bAGx3zJ+XyVmFoh+JqaCnBJgG52kbuw7lZld2ZrS0mS6SREAOMfKFpQolEVqjw4hotDYMHUug+AuljFvI/KI6O/brsWtCFFUKpcHEtLYMCUoYl5AOT+BxIvMjQAxtWpCDM+u8EjLJAGkxJJm8bAPmqDGOJI5PRwG3aSDs6h3FbFAEIJQhCKFLdVCszVBl4R1p+99k1K4R1p+99k1B4HHL1Vnxh9Llxa7Tjl6qz4w+ly4tAIQhAIQhAIQhAIQhAKyqrIBZtvetKzbe9A9QpUIBCEIBKdqU1KdqUDxopUDRSgFUqyqUCqztmw6qaB5g7ExQBAgIJQhCAQhCCUplAAtv0Z+aahBmbUdZ02LoiOuFOQ8p0jpOg36JgpNmYur5RM7UW0rreKLpwde+lVw/7bVyS6/imAMHW66jvoaiOjwH5Te/zKZV2JeA/Kb3+ZTKuxBmoVC5zgYgGAR2LQs+HqlznggjK6BIOkLQgpUbIMBuaDBI/2yyOxdSnmBph0RBaYE8ydRYc436lsfMHLExadJ61kqYx4zNDW8o1k6mJt3xzu+CpLWKamNe3+VIzBvSG1uY7I6tblOxFTK5lgZJEnUc0m3fA71XFYnkmtJEkkCxjZePspxOJ5MgZXOkGI6rkeE+CFdkNxU0eUy3joz1xrGnXp3KMLijUN6ZaC2RJ6mkg2/u+RVGY4lubJYNLnQ4GACRaNdJTqlY8kHxHRJDtgJEz3IV2JGOOYjkj+ZlmdkkZiBoLfMJJ4VdBdyJhoJJzHdIi3/xO/EOcQGEw6CZ2Zo8dsbiN6vRxQqU3vy6TLZF+aDEm22CjVdi3Y1wGbJNrDrz5Sc3sxB00Wgue5jS0NBMEh14luluuPmkNxpMnKI5MOHOMkyQRcaaX60VcaWlwygkAEgO05rnHZ/bu2jeiV2bEJGHxPKZ4EFpjWdm3cepMpZsvPjNfozGttepVmYpdCEIgQhCAUt1UKW6oM3COtP3vsmpXCOtP3vsmoPA45eqs+MPpcuLXaccvVWfGH0uXFoBCFKCEKUIIQhSghClCCFZVVkAs23vWlZtvegeoUqEAhCEAlO1KalO1KB40UqBopQCqVZVKBdV5EXjXZKs0yBeetDp2R3qKbYEILoUoQQhCEEpFNz5bP9028E9CBLKpLiMptH+lRTrb56RE7OpXDCHkiIMT3KvInLE/xz80Xks6rBuDExOxdnxTP7lWt/Md9DVw7sOST0elM7exdzxU9Sq/Ed9DUJdFgPym9/mUyrsS8B+U3v8AMplXYiM2HqlxcDFnEW0jtnVaFmw1fOXWjK4jzH6JtGoXZ5/heR22B/WO5BZ8wcsZotOk9ay1MVUacpa0uDWGzjfM4gxbQb1sQixLEzhHMSGtEBzQSXRZ09Wsj5hNxeLFItBaTM6a7LAbTdaFUsBIJAJGhjTsRbjZhdwiHAgsDhlJMublMEi06jm69YWiriw2k2pEggHWNROp/wBmFolChcbE4fEZy4ZS3KfESR/4n5LJR4RblltOGiScvu5rWXooQuGZuL/Y8oQOkRY26eUGd22VOGxXKE80tEAievq2LQhVLhiZicjspY0Z6hAy9rRJ3m89gO5ObiP2PKFsc3NE7IkTayehC4ZziSaHKtEc2YN+3/6lnhAZiAyYdEzs51/+mY3Eb1sQhcEYXE8q1xAggxE/2g33G8Hcs7uEYaxxaCXU82UOkzmaI+Z2bDuW1jA3QAXmw2q0qLcbMVPGPqFzWMAcB/EercL6kX6itzdVClmqqTLNwjrT977JqVwjrT977JqI57js/LhGEgxywmPdcuJfWAJEEwJtuXa8d2k4RoEXqjX3XLiuSu7raAO6fui8g6sBsJtJjYExpkA71mqc3aJLQI7Ny0UxDQOpCVKtQtiBMlTUeQ0mCLeCmq0kCNQQVFRri2LSRdBD6wbEybT3I5cRoZmI2qj6LnC8dEjxhD6EmbHnTB00hF5LGoTGWelDhuVqRMc7WT4TZTSbA0A7FdEQrKFKIFm2960rNt70D1ClQgEIQgEp2pTUp2pQPGilQNFKAVSrKpQVc4DVSDIlKq9Jt4F7q9JxLb7/ANUDFWm8OEhWSaGrzsLzHhf5oGoUqEAhCEAhCEAux4qepVfiO+hq45djxU9Sq/Ed9DUHRYD8pvf5lMq7EvAflN7/ADKZWIETtMBAii8lzpAs6JB1slOxzWOyuF85Fo3tuf8AMJvLsF87fEb481d72gjMWg7JIQZqPCTXuYzK4Odvy2lrnDbuadJ2K9fGhjnNykuAB2AESAYJ3SFL+ScRJaSJA5w3X26wpZUpAEAstY3G6Y8Cgq7FgF3NIDajGSSIJdl0vszBLZwkwloyuGYgCcu0NIOv9wWnlGFoMtyk2JiCepUc+m4Nqat1aRcX2289iB6FnGOpkTmkQTMGIBgq1bFMpmHugxP6IHISqldrSA4wXTAiSYEmAOpD8SwNDieaQSD1AT5BA1CWa7YBnUgDfJ0EaqpxdMAEuAkgXsZJIFtmh8EDkJVPEMc0Pa4FpMT1zEeKl1doaXyC0akX8kDEJbK7HGGuaTcQCDpqmIBCEIBSzVQpZqgzcI60/e+yalcI/wAv3k1B4HHL1Vnxh9Llxa7Tjl6qz4w+ly4tBKFCEAhCEAhCEAhCEEqVClALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUAqlWVSgghCrU0mSI3IpzlE6oGKGtAECwQUqk6GuJJgOOu4IHISWVjMFsS2ReVFPETllsBwkGdyB6EhmIJLebAdMGeqbp6AQk062ZxAAgEjW/gobUdyjhAgAbdJnqQOXY8VPUqvxHfQ1cS6qcxa1skAHWNV2vFP1Kr8R30NQdHgPym9/mUysxrgM02IiCRfuS8B+U3v8ym1SABJjnCO2UGanhKIPNF7jU9R/QFNrYOnUu9uaxHaDqDvCii9hDS2oHSSRcSbfZXo1GEBrXNda0EaC02QLGAp3sbzPON82u1BwFIgAt0EancB5AeCc6s0EguAiJk6Topc8CASBJgSdexAp2DYQ0EEhrg4XOoMz1qThmZWtgw0ggSdmiY2o0jMHAt3g28VU12ROdsazIjZ9x4oEt4OpAZQ0gZcsBxiJmNVL8BScZLBPVbbOzb1pvpDJjO2QQOkNToENrNMX1JAmxJGtigU/g+kYlgsCLWsRB0THYdpyzPN0hxGyNnUVapWa2czgIBJk7BqexQKzcgfmAaQCCba6aoKeh04aMs5SC2TMEaRPYodgqZDQWyGxAkwIBA+RPanlwGpAVDXZ7bdSNRs1QUZg6bWCm0QwaAE7511R6IzKWQcp1AJ3Aa9gCZUqta0uJ5rQSSL6a6IdWYJBc0ERMkWnRApmCptILWwRO07RBTsgQ14MwQYMGDodyoMTTkDO2SCRcXA1KC+QIyBU9IZBOdsAAkzaCY17ldrwSQCCRqAdO1AZApDUpmLpOIAe0k5ov7Jh3gmscHCQQQdo0QY+Ef5fvJqVwj/AC/eTUHgccvVWfGH0uXFrtOOXqrPjD6XLi0AhCEAhCEAhCEAhCEEqVClALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUAqlWVUFXtkQpUqEFkrkukJ5rptG/rTJRKBTaJmXOmBAtGqkUehfogjttCZKJQZWMOZvSIZOojZA7SnCqfYd8vumSiUCjRJcHEixkQL+KsaZz5gYkAERu/wDqvKJQVFOHOdOoA8J+67Lin6nW+I76Grj5XYcU/UqvxHfQ1B0eA/Kb3+ZTalZrMuZwGYwJ2mJj5JWA/Kb3+ZTalMOiZsZEf71lBjODoU3MlwaYsHFt4a0WkbA0aKabKDXh4eyRTAF29ESAZ13i1k3FYMVXNLjYAhw9oEaKv4dTuYuQQSYMySSbjrPUgjFUKbpe+oWhwaJloAiYgxY3N52q9WlTrEc+eTfcNcIzAgweuQOvVWq4Rj2NYZhogXM9Et17CR3q9Og1k5RrrfrJ/UoMrW4cUjT5RuRzSOkNA2D8mqnotAsNTPDSMpfLQID53R0p7ZTWcGUgCIN+vqI/UpxwzcmSTEzM3nNmme1BiHBtF3NY/ok5gCCYLXNg7pkq7WUH1A7OCW1HAA5elLS4CRvANlqoYZlPoCLRrskn9VDsGwlpg81xOu0uDvqAPcgVUo0qv7XOC3LEhwy6OEz2Pd4q+MYypRhzjkMXbeQbDfIumejt5MU7hoaGjsGihuGaKYpiQ0AAXvbS6BdbkXZA57ZZUEDMOkNGn7JWHwlBrCaZaWta5s80gAhsgxE2a3W8JwwFOSYMkzr1k+ZJ71ODwopNIBmTPg0NA8AECaTqIw4YagLDTu8uiQbFxO8k+JVH4eg6SahfMaEHptyTYbc07u5PdgGFoaS4tDcoE7JB/QeCvh8GymSWCJA/2ddiCMLhuTL+dOZ0i0QNg61RvB7A0Nl0Br27Oi6JGltBELWhAiphWudJJiG2tHNMjZvVMJghSc8h0hwAAjQAuOu2S4rUhBldgWHUu1cRfTM4OMHtCbhqApMyNkiSbxqSSdOspqEGLhH+X7yalcI60/e+yag8Djl6qz4w+ly4tdpxy9VZ8YfS5cWgEIQgEIQgEIQgEIQgFZVlWQCzbe9aVm296B6hSoQCEIQCU7UpqU7UoHjRSoGilAJbnEOaN8pio+nJBuCNyClWtlP/AL/RSKvPLY06+rch1AHUm4E31jRSaUkEk206kEUnkzI0MaqatTKJ64UtpwSd6l7JEFArlwBJBiYP6KH4jKYIuACf92phog6ye1RyPWRaNdUAHy4gCwMEobVmIGoJ8I+6tyV5uJ161DKIBkTti+9AttY5A5w1jRSK8xAve3Yr8iIi8bL6diDRmLmRtm6CKDiWNJ1IC7PikZwdbqqO+hq49jIAA0AXX8Umxg63XVcf+hqDpMB+U3v8yvO4Kq1HVa4nNDx0nGwzOmOtejgPym9/mV5XBQ/a4ifa/wDJy5Z9WLrh05PTa5+YdKMzwRGybGY3JmHc4hsz0ATIvKThyHOcCG810Wv/AAg/qpw1VtTOeTADXESRrC6U5zLWhec3G0zP7PsjLuJ8wQtVIB18gAi1hMyQf0VZPQqck32R4I5JvsjwCKuhU5JvsjwRyTfZHgguhU5Jvst8Ajkm+y3wCC6FTkm+y3wCOSb7LfAILoVOSb7LfAI5Jvst8AguhU5Jvst8Ajkm+y3wCC6FTkm+y3wCOSb7LfAILoVOSb7LfAIyAEQAO7qQZeEdafvfZNSuEdafvfZNQeBxy9VZ8YfS5cYuz45eqs+MPpcuMhAIRCIQCEQiEAhEIhAIRCIQClRClALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUAoc6FKq7Vvb+iALwFJdEdaq92zxQ7Z2hBdCq+LTvVkAhCEAhCEAhCEAuv4qepVfiO+hq5BdfxU9Sq/Ed9DUHRYD8pvf5leXwV+biPe/8nL1MB+U3v8AMryuCzFWvpd/6uXLPrxdcOjJ6eGqZnGws4iQZlWbXcTzWAjOQbxEECY8T3Delisxl5YB7w3x52TeVAOjQT166D7Lq5EPxwazMWiQ2obH2Nm+/YmYfHNqOyta7ozJFthid8EKeVZOjJk7RrE+SG12SYySDB5wnSY/VFuDabnEuDmwBoZmbnwtHis9TGPYOfTgkONnCLNB85HcmjEggHmwdDm17FU4hpaHc0tOhmR26IKeniJyO6LzFiea4NIABvqpOLdlLwwZIaWnMDIMbBtufBVOKpETzCIN9bTB2bymVcSxsNdlGhAJ3G0CN+iFw0oSH4oNIDoBMwJuYuYtdQ7FtABJaAQSDm1AEz4XRGhCQcSAATFyBrv0Eb1AxYibRMa9cbt4QaEJAxIIzCCJiZ2zEeNkHEgNLrZRqQZ7UD0JDcSDYZSepw2aq/KHd80DEJfKHd80cod3zQMUHYqcod3zUhxJFvmgy8I60/e+yalcI60/e+yag8Djj6qz4w+ly41dlxx9VZ8YfS5cagEIQgEIQgEIQgEIQgEIQgFm2960rNt70D1ClQgEIQgEp2pTUp2pQPGilQNFKAUEA6qUupTlzTPRM/KEDFBAWZ5cKjy0izGm495S6u4mG+yDpOqDShIdUdzIABdrOy0qH1HAhu2CSQ2du5BoQqUnEtBIg7kVpymI02oLoSXvIY0tG6bTA7Fei6WzM9cR8kF0JdZ8DWL7p+STy7srtJDgLiNY2d6DUuv4qepVfiO+hq4uk85nNdBiLjrXacVPUqvxHfQ1B0WA/Kb3+ZWHCUqGerle8nOJ2QZMRHet2A/Kb3+ZXlcGAcrXkx+0b453WXPOfqxdMI+nJvpYShIyknNMEOJ0IOu+ybXwNOoZeJsR3HUfM+KXSaxoDs4yhzzpAsIIA2AQe9aaLQ1rWAizQNg0toF0cyRwfTEwCJzTc3za/O6g8G0iACCQBFydwHkB4J5rsBjMJmInbEx4KweN41jv3IEuwTCGgzDXBwudQZnrup9Fbla28NIi52adqax4cJBkSR3gwfmFZBjbwXSDcoBDcuWMx0mf97BuU1eDaLzJYJ6rbZm21a0IMj+DqTiDlggEAgwbiDomvwrXBoM83SD1EeRKchBmGBpw0QeaWkXNsunkpOCZAF4GWOcf4Zjz8ty0IQZ24NgZkAIbMwCd8+aPQmZCyDlOonqA8gFoQgzU8BTY4OaCCJ2nbqn5FZCCuRGRWQgrkUhqlCDFwjrT977JqVwjrT977JqDwOOPqrPjD6XLjV2XHL1Vkf1R9Llw2EzZbmbu2f3FA9CRQc91yREkRG4kKaRPKPBjRt47UDkLNSrOOQmIdNgNLE/ohlZxyG0OdERoL/ZBpQhZ2h3Ku52wbOs9aDQhZM7ml5ERnFt8wFatXLS4gyGxIynzQaUIQgFm2960rNt70D1ClQgEIQgEp2pTUp2pQPGilQNFKAQhJqViHhoaSCDu2R90FzTEk7xB+f3UGiLaggRIOxMSqlYNMQTAkxsCC/Jjm/26eEKH0g4g3BG0FVNfSASSJgbkHEC0AuzCRG5AxrYEX71FRmYQZ7iqHECGkAnNoOzVMaZGkdSCnIiIl3irMYGiAoqVMsWJJMABV9IEAwdYjbKC9SmHC++bKgw7YIvcgm+0K1OpmmxBBggqznQJgnqCCAwAk7TE9y7Hip6lV+I76GrijiAA4kEZYkdq7Pii6cFWsR+0dr7jUHSYD8pvf5lI4PwLqVSq5xBDzIjtJ/VPwH5Te/zKbUMARvHmszjEzE7LGUxExuz1MA1wjM4DM91o/jBkaf3FFDg5lN4c0ukNyiYNpMbJ2rQ485vf5KWGQCdSFpGevgGVC7NPO1FtcpbOm4/JBwILs2Z08pn2awBGmlgl8L8JjC0w4jM5zg1jZiTqbwYsCe5eTguNbH1HmoQKJjkyGmZHTkzeDuCDowFK8ypxgwrXlhqXEyYMW6/l221SjxnwomXOtbonXcd3fCD2ELyuE+GOTwfpNECpJAAPbBta4gqaXGHDOqNphxDiYu0xJMDum0oPUQvF4x8J1MOKXJRLyRpJtH3Xh/8AJ8T7Tb6c0een2Wox7xDllxKnpmfxDtkLiP8Ak+JvcWEnmiw3zoo/5RiYBzCDEcwbdPHrV0x90eU/ln7MvDuELiP+TYqQ2W5iYEtAvt7+rVVp8aMU5odLYObRo/hN9t+5ZnTdao8txOUxM6Z8fj3dyhcR/wAoxETmbG/KN8T2Tt0UVOM+KAsRJIA5g8pF42GFqcYj/UeWceLOU1GM+N3cIXDs40YkgHM24nojs7Ynavd4ucJ1cRyoqEHLliBGs/ZXRymYmJpI40TlGMxMXvD20IQubsxcI60/e+yalcI60/e+yag8Djj6qz4w+ly4plINJib7Jsu144+qs+MPpcuNQVYwNEDr+ZlVbRAdmkz2piEC20QMo9nRKFA5wYgAk9KfAbFpQgFR1MF2a4PUVdCChpAgjeZPb/oVH4ZrpmYOomychAIQhALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUAl1GEua5sSARfrj7JiEAs2I5pcQbubEQTpMRHatKECBScMpbE5QCCq+jQGxBhsc4LShAl1IloEMPVFu5XosLWgEyQroQLq0yS0jVpm/ZCo2gbEkTnzFPQgpTZBcd5n5AKK9MubA3jXQ9SYhBlGGPP6IzZbAWEFdzxU9Tq/Ed9DVyC6/ip6lV+I76GoOiwH5Te/zKbVOiVgPym9/mU57ZQIpVS4uFxldGvUD+qbKqygAZAAkyYGqvkQYOGcM+thnsZd0tIExOVwMX22Xgs4LxTqVfNRh7hSygPbfKRP8VrDf4rrciMiDhqvFnExyQEjLGeWZSIiD/FJ7O9elQ4Jrg0CWRlZVzc5ti7lYBvfpjSdq6fIjIg513Btc8Gijk/a53HLmboXuOsxod6z0uB8QGNBp3GKDjzm9ENAza6WNtepdVkRkQc3xwI/d5Ns7vILkhTkNOUkAO1DZlwaAQ2SLZRYm8r6dVwzXiHta4bnAHzS/w+l/Sp/4D7K1jPV89fdidcdFfK9nzggkxlIGVrZOUaE3gFVqNcXTcXYXANZBylp6XSPRtML6T+H0v6VP/AfZH4fS/pU/8B9k08KqqfleyauPd3Hie/fvL5yJBacps4O2eGuvy61WjmaGy083svfZfcvpH4fS/pU/8B9kfh9L+lT/AMB9lqY4e0/L92YjjR/ceO8Tv2h8zdRcWBgsRTDDzWQQBF3dK42Jgbzg7K5zg4GSGBxF7SDzjfUx819I/D6X9Kn/AID7I/D6X9Kn/gPsszhwtpb18fePH7fNG0iGgEZiG2kNgGZkO6UdUFdXxNJ/bzY8z/y3E+a6D8Ppf0qf+A+yZTw7WdFrWzuEeS3eMRMY3zY0Z5ZRllXJaVLTdGRS1sLm7MnCOtP3vsmpXCOtP3k1B4HHH1Vnxh9Llxq7Ljj6qz4w+ly41AIQhAIQhAIQhAIQhAIQhALNt71pWbb3oHqFKhAIQhAJTtSmpTtSgeNFKgaKUGc4m+nzT2mRKwO1PatUu5saRdYiW5g1zgNUFwGpCrU/h95VqNvNtNq0yuXAR1qyU8y0HrCtU7YuguhCFUCEIQCEIQC6/ip6lV+I76GrkF1/FT1Kr8R30NQdFgPym9/mVoWfAflN7/MrQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgxcI60/eTUrhHWn7yag8Djj6qz4w+ly41dlxx9VZ8YfS5cagEIQgEIQgEIQgEIQgEIQgFm2960rNt70D1ClQgEIQgEp2pTUp2pQPGilQNFKDz3antW1jrCx0WJ2p7VsZoOxYxdM/QOvsPyQ4A6tKHvA1Klbc0OvFipdfVpV1UPBQGbqKM3UVZQ50eKCM3UUZuoqyEFc3UUZuoqcwmNsKUFc3UV2HFM/uVX4jvoauRXX8VPUqvxHfQ1B0WA/Kb3+ZWhZ8B+U3v8AMrQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgEIQgxcI60/eTUrhHWn7yag8Djkf3Vnxh9LlxebqK7Tjj6qz4w+ly41BXN1FGbqKshBXN1FGbqKshBXN1FGbqKshBXN1FGbqKshBXN1FWQgIBZtvetKzbe9A9QpUIBCEIBKdqVCEGgaKUIQee7U9q2N0HYhCxj6umforXIynsVmmQIQhbc01TzTaUnDsvppbXahCDQ42KzNiWwZMEnwQhETTN2mZOrkMHQO0knuQhBoyiZ2qUIRQuv4qep1fiO+hqlCD2cNiwxgaWPkToOtN9PHsP8EIQHp49h/gj08ew/wAEIQHp49h/gj08ew/wQhAenj2H+CPTx7D/AAQhAenj2H+CPTx7D/BCEB6ePYf4I9PHsP8ABCEB6ePYf4I9PHsP8EIQHp49h/gj08ew/wAEIQHp49h/gj08ew/wQhAenj2H+CPTx7D/AAQhAenj2H+CPTx7D/BCEGXGYxriwXbDp50BafSGe23/ACCELrjw7i2JyqXiccfVWfFH0uXGoQuTYQhCAQhCAQhCAQhCAQFCEErNt70IQPUIQgEIQg//2Q==",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"540.0\"\n",
       "            height=\"960.0\"\n",
       "            src=\"https://www.youtube.com/embed/Zga6HHCDXPM\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YouTubeVideo('Zga6HHCDXPM', width=1080/2, height=1920/2, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31eb2d07-83b8-4d85-91fc-f0e7714cacb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'here is an example of a very long string that goes on and on for a long time'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The string is too long and scrolling :(\n",
    "long_string = (\n",
    "    \"here is an example of a very long string that goes on and on for a long time\"\n",
    ")\n",
    "long_string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4e352f6-e9be-41ee-aa03-4f1e354badfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'here is an example of a very long string that goes on and on for a long time'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best way to handle these strings\n",
    "long_string = (\n",
    "    \"here is an example \"\n",
    "    \"of a very long string \"\n",
    "    \"that goes on and on for a long time\"\n",
    ")\n",
    "long_string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1950aca5-89c1-41c1-a82f-4c9e0fed9f57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('like ', 'this')"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# don't do this unless you want a tuple\n",
    "(\"like \", \"this\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b5c0f3d-986f-49cb-92c7-f4435ba6d654",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7555ab3f-5631-4d96-870a-7a19a10d0daa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "06aa109b-eb0f-44e4-8a5e-7124fb17720c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a shorter yet TERRIBLE example'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example of what NOT to do\n",
    "bad = \"a \" + \\\n",
    "\"shorter \" + \\\n",
    "\"yet TERRIBLE \" + \\\n",
    "\"example\"\n",
    "bad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f42d1215-0a55-4304-971b-6a3c7cadd2bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a shorter and amazing example'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example of what to do\n",
    "best = (\n",
    "    \"a \"\n",
    "    \"shorter \"\n",
    "    \"and amazing \"\n",
    "    \"example\"\n",
    ")\n",
    "best"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0c8f46e-6987-49bb-9022-3946090e5204",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b49a02ce-9f7b-41e8-941e-b65b5f5f5eae",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7de0b012-5696-4d00-9607-c0c3ce855472",
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