Урок 1.Вступ до Пайтон.ipynb

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   "source": [
    "# Python\n",
    "## Що? Як? Навіщо?\n",
    "\n",
    "\n",
    "Шило Максим"
   ]
  },
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   "source": [
    "![](https://upload.wikimedia.org/wikipedia/commons/f/f8/Python_logo_and_wordmark.svg)\n",
    "\n",
    "# Пайтон (Python)\n",
    "— це потужна мова програмування,( запозичено назву з британського шоу Монті Пайтон) розроблена в 1990 році Гвідо ван Россумом, якою легко оволодіти. Вона має ефективні структури даних високого рівня та простий, але ефективний підхід до об'єктно-орієнтованого програмування. Елегантний синтаксис Пайтона, динамічна обробка типів, а також те, що це інтерпретована мова, роблять його ідеальним для написання скриптів та швидкої розробки прикладних програм у багатьох галузях на більшості платформ."
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   "source": [
    "Розробники мови Python є прихильниками певної філософії програмування, яку називають «The Zen of Python» («Дзен Пайтона»):\n",
    "- Гарне краще, ніж потворне.\n",
    "- Явне краще, ніж неявне.\n",
    "- Просте краще, ніж складне.\n",
    "- Складне краще, ніж заплутане.\n",
    "- Плоске краще, ніж вкладене.\n",
    "- Розріджене краще, ніж щільне.\n",
    "- Легкість читання має значення.\n",
    "- Особливі випадки не настільки особливі, аби порушувати правила.\n",
    "- При цьому практичність важливіше бездоганності.\n",
    "- Помилки ніколи не повинні замовчуватися."
   ]
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   "source": [
    "### Гві́до ван Ро́ссум\n",
    "— нідерландський програміст, відомий завдяки створенню популярної високорівневої мови програмування Python.\n",
    "\n",
    "![](https://pbs.twimg.com/profile_images/424495004/GuidoAvatar_400x400.jpg)"
   ]
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   "source": [
    "# Чому саме Python?\n",
    "![](https://cognitiveclass.ai/wp-content/uploads/2016/10/Machine-Learning-with-Python.png)"
   ]
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   "source": [
    "### - Надійність \n",
    "![](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSCoMlhkmrGSH2eKYbQdXtzBAy-Mtcly2mNsf2hKOfIAl-rjWkr)\n",
    "Цю мову програмування обирають дуже багато компаній. Найбільш відомі це: Google, Tesla, Bank of America, Amazon, Яндекс, Facebook, Netflix, Quora, Reddit та інші не менш відомі корпорації. "
   ]
  },
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   "source": [
    "###  -Використання у веб розробці\n",
    "![](http://workcabincreative.ca/wp-content/uploads/2015/12/web.jpg)\n",
    "\n",
    "Веб-джерело є однією з основних ресурсів інформації. Завдяки такому додатку як Django пишеться багато сайтів, такі як YouTube,  Google Search, DropBox, Instagram, Reddit, Pinterest, Spotify."
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   "source": [
    "### - Використання у Data Science\n",
    "\n",
    "![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxMSEhUSEhEVFREVFRUWGBgXFRcYGBgYFRYXFhYVFRYYHSggGBsnHRYWIjEiJSorLi4uGB8zODMtOCgtLisBCgoKDg0OGhAQGy8mIB8tLS0vLTUtLS0tLSstLy0tLS0tKy0vLS0tLy0tLTAtLS01NzUtLS8vNS0tLS0uLS4vLf/AABEIAJEBXAMBIgACEQEDEQH/xAAcAAEAAgMBAQEAAAAAAAAAAAAAAQMCBAUHBgj/xABFEAABBAAEAwQGBwUHAgcAAAABAAIDEQQSITEFQVETImFxBgcygZGhFEJSYrHB0SNygpKiJDNDU8LS8BWjNEVUY3ODk//EABkBAQEBAQEBAAAAAAAAAAAAAAABAgMEBf/EACoRAQEAAgEDAgQGAwAAAAAAAAABAhEhAxIxQVEEMnGRE2GBobHwQtHx/9oADAMBAAIRAxEAPwD2ZERZUREQEREBSFCkICIiAiIgIiIC0HY12r6b2QeGc8x7wYXDkAHE6c6Oq31z8HII5JInbWZWabte7vDxIffuc1bxjnnbNct2GTML8/kSPySaTKB4lo/mcB+a0OHYsdiDqe88bVZzvO7qFAAn3FVYnFS9pG10YMb5W5HNPINc+ngnQ027GmhV7OWfxZ2y++v3ddamPxoiMYLb7SVse+2YHXx2Vsk4bmsHutDjW5He2H8K5ONxWfEQMEZOUvk3bWbJ3RmBq6cXV5dUwx3Tq9TtnF53P5dxFR24AeTs0u+WvPzVzDYuiPA7rGnWWVKIiiiIiAiIgIiICIiAiIgIURBCIiAiIgIiICIiAiIgIiICIiApChSEBEUOdW/M0glERAREQa+PEhZ+yID7G+ml6gEggHxIK1MNBM58b5Q1vZB2zsznlzcpzUA1o2NC9QNl1KULUy1NOeXT3d236ejUbw9mRrDZa1xcLO5cXEg1uO8RXRZ/RWdwfYdmaL+65teIAcfkthVzxZhVkHcEbg8iP+dQndV7JJxGWQWXcyAPcLI/EqjD4BjAwAf3dkHnbhTia3u0wuJJJY8AStGo5OGwezwPyOh6nZS7nBJjlyxLBRFCjvpvehvqkbA0AAUBsskUa0xe8AEnYAk+7VRASWtzCnUCR0NahYzw5q102I6iwfyryJUTQ5gQTvVeBHOlnkXKvEvpjj0BPw1WEsBP1iBpoNNRsdOW2ixbgx3rJOYOBG2jvz8UuzlsrF7wBqQPM0qcRhs2xA1zXRsGgO7RFbc1k2E5s2a9KogdBz91+8pyGDkzRsIN21vxoWriqI4S1rWtI7rMu25AABr3H4qmLCEA0adbeZd7N2511bjZ+Sm6m63UVUMWW+8SDW5s3zN+Omm2itWmhERAQohQQiIgIiICIiAiIgIiICIiAiIgKQoUhAWlxFg7pzObcjBYcQNfA6fJbq0eLCxGCLBmjBFWKs3fgs5/LW+n80YYfG3IIxI2UG7LazMoWM+Xu0duR8CtmSeu0+4wH+lx/JYzuc0gNY7LX1A3e6O+1DWudrWxGGfWI1eczKbtqcjtBQHM0sbs4/vhvWOV34/66TNh5BVyYdrvasjoSa/lGioAkzu3yhndGlE+PQ38uazIkDG13n227oaHe6HJb3vzGNavFYO4XCf8NoPVvdd/M2iteZ8mH7xc6WAe1eskY+1f12jneo8V0IC6u/Vg7jYjkQLNeXgpmzZTlALq0DronoSNgs3Ca3OK1M7vWXM/v2Sx4IBBBBAII2IOxCyXz3CJHsecPkexoeJGjcNZqXszDQtzbeDq5Lf4lx2GF4iLi+dwtsMTTJKRtm7NurW/edTfFXp5982nV6fZlplxmJxaHMa4yNNtcyszNN8pIztOxbeoWvwbinbu2LXsYRIzXuvzCjRo0RdWLWxhpsS826JkLOjndpIR0IZTWHyc5dCufP8ATZd+6durHlvTvf3S/WC+C4x63eG4eR8ZfLI9ji09nHYtpogOcQDrzX3q+TxPq34XJK+Z+DYXvcXO7zw0k7nKHUPcsOz5V3r3wN6YbEn3RD/WtnCeu/hzj348TH4mNjh/S+/kvqGer/hY/wDL4Pe0n8StfFerThUgo4GNv7hew/FrkRbwv1icMxFBmNiBOwkJiPl3wF9Ox4IDgQWnYg2D5Ebry/inqOwEl9jNPCeWrZG/BwDv6l8tJ6Aca4UTJw/EGWMalsRIJ65sO+w73WUHt2M4i2NwYQSSL05Dl4anrXNRFiC81mYzwDmvefyHzXlnot65QX/R+KQdjIDRka0hoP8A7sTtWctRfkF6zhJY5GtkiLHscLa9lFrgebXDcLHbd+U1VrGAbfqfeeayRFpoRAVi5t9fcUv5DJFSZC32tW/a6fvD81cs45zLj1i2aEKIVpEIiICIiAiIgIiICIiAiIgIiICkKFIQFjK/K0uOwBOm+gvRZIUGqcYP2Yy2ZNaBugKs+O4UnGAMDyDRIAAIO+o12CvEYFUBoKGmw2odFBY2iKFHUihR8xzWdZe7W8fZWcWwZbPtgV76A8eYUMxrD9YA6DXqTVeJv4WtSTFOfEZMoawmNzNbcRnbRcBoL00snqt8wN07o0utBpe9eakyt8NXGY+VWBxAfno2A8jYj6revmtlRl/VfK+sTjsmHw7IcN/43FyDDwfdc+g6TwDQd+RIW5KxbN8MOIcbnxeIfgsA7I2I1icXQcIiR/cwA6Pm6nUN813uCcFhwrCyFptxt73EvkkdzfLI7vPd5+6lqcD4QMBho8Nh4jJlBLnF7W53nV73k6lzjZ0B0ocgq28XxLXyh2CLwws0imjc8BzRrlkyB2ocd7VZd9Fo8K4vFiQ4xOOZhyvY5pZJG77MkbgHNPuo7iwrsZiMnZgVckmQXyJY911z9lFbCLQgxj3F0dMbOyi4EnKWOvJIytcpyuFHYtcOVnU4i/GMaXiXDtaCwH9hI4gOe1t2ZgNLvbkg7SrhxDHEhrmuLdwCCR5jktfAYaZhcZsR2pNAARNja2rsiiXEnxPLZaXpHAHdiGuLJ3TNZHI32mUHSP8ABzcsbra62nSxsg7KLncE4iZmubI0MxETuzlYNg4AEOZ1Y5pDmnoaOoK6Kg+d9L/QvCcSZWIjqQCmzMoSN/i+sPA2PJeSYDG470ZxQhnJm4dK40QDlI5vjv2JBzbz+BXvq4/pZ6OxcQwz8NMNHC2u5sePZe3xHzBI5qo6OBxjJo2SxPD45GhzXDYtIsFWlviR5Lx71HcZlgmxHCMRo+Jz3Rjo5jqmYD0Ojh/Eea9jUs2rWY8tFk23MR4jvEXpuFsE1uVQyEn2j3cxNddbFn8lYxpskmweX4LzdLvk1q6/v7N5aTEbF8iT8LP5KmA5Xdmdqtvlzb7lkYDQbm0A+fVYY4HKH/WZTv1Cx1Lljj365wn3n+U/1+azVuvdtIVDXWARsdfipK9ku+Y5oREQEREBERAREQEREBERAREQFIUKQgIiICLCSUAEk6NBJ9wtSx9gEbEA/HVVGoOGMvQuDM2bsw7uZgbBqtBetAgXyW6oe6viB8VKzMZPDVyt8i89gP0v0ieTrHw7DBrRyE0+pcPHK4j+EL0Jeb+qt+fHcZlPtHFhp8mOlAWmXpC5GHfWPmb9rDYd/wDLJOw/i1ddfI8f4vHheIwyzFzYnYOdjndm9zc3bQujFtadaEun6orY9MsKYm/9RgFYnCsLnV/jQN70sDwPa0tzT9Vw03N7vEcQHy4HJq2SV0g/dbhpSD/W1cXivGpOIRPwuBhlyzNMb8TLG+KKKNwp7mB4DpX1dACtbJXVxHBc2JwvcBwuHw07KJ+u8wMjFc6ZG/XxRF/GHGPEYSXbNI/Du8WysLm/9yJlfvHqsvSpxGDxLhu2GR38rS78lr8Y4E0xgYaJjJBiMJKcoDbEOIY91nn3M/x8V1OKYXtoZYrrtI5I76Z2Ft/NBsh169dfjqvmMbxdpx8bcsrmwQSPcGwSuOeZzY4zQbtlZPr95fQYFjmxRtfWdrGB1bZg0B1HpdrU4dw9zMRiZ3kEzOiDa3EcMdNafHO+U/xIr5/G8V7PH4eZmHxAZiAMJKXRdmC4kvw7u+Qe6e1G2z+oAP2S5npDwv6TEGBwa5k0EzSeToZWSD4hpHvXTKAiIoPEfTIfQ/SfCTtFCcwF1czITA/5AfFe3LxH1hu+kekmBgabMZwwPge0Mrv6aXtxKqK+2FX0dl990rAqfo418bPvPP4LJ8d7nr89lwxvU9Y3deixQ4A6dQQsXRg79b+VKHinNN86+RWsrdczhJFPDHXGPCx8CtorS4V7Lumd35LdK4/BXfw+H0jXV+eoREXqYEREBERAREQEREBERAREQFIUKQgIsZXUCegJ+GqyQaLsOTK77DhHm8aLtvhR8CsonvDIwGnNl1sbVQo9FtOvlXvVZbJ9pn8h/wB6qK5ZCSMrbp+o2oAO1J86PvCze9/1W63z6Zb/AB0WJjl/zWj/AOv9XLB0E3+f8I2/miLonOJJIptaDn/EvNfQyT6Lx/iWEdp9JDZ472dVvNe6R/8AIV97h8BLeZ07gbuhRHkeXwC+G9cHBZmGHi+EH9pwRt/3ogbsgbhtusfZeeiLHpiZq5ri+iPpNDxHDNxEJ30ey+9G/mxw/A8xqu0QitHDcYikIyucQfZeY5BG69skrm5Hg8iCb5Ldzcr1K+awvEm4eZuGbIJoS/smtBubDnUBj27vhHs5t26XmFuFmFa0SvE2FkknfO45+yzNERfUThM7uta2PLbbzWHd0k6kfQi+fu8vHrra1ncShEnYmVnanTJmGayC4AjkSATW5CiJ7u1lFEgNjc27o2HggHbdmvmOq+f9GJcOBC0tkdjTmdLmjmJjmcHGZz8wyRWS4A6WCALCK+gxvE4YWh0krGtLi0Wd3C7a0DVxGV1gbUeizlx0bYu2zAxZQ8Ob3g5pALSzLea7FVvYpaPCeFlksssmrjJIIueSJ7u0cB0LnlxPUNYOSoPCZRhDC0tL2Sl8YumljMT20MRPLuBrCa0RHT+nsEb5X3GyMOL84LS0NFknwrWxd8lXwviPbZ/2T4yxwaQ/LfeaHi8pOV1OFtOosXuqfSPBPnw5YwDPmieWudQe2OVkj4S4bZg0tvlax4PiZCezOAfhogCbdJAQXXs1sT3E3ZOY0g6y0+L8Tjw0MmImdliiaXOPlsB1JNADqQr8TiGRsdJI5rGMBc5ziA1oHMk7LwD1gels3G8THw/ANc7D59NK7Vw/xX/ZjaLIvxJ1qiuj6nMNJxDimJ4rM3RhcW8wJJrDWtPPLHY97V7WyVxLgA3umqJN1uDa5vod6OR8PwkeFj1LRb3VWeQ+2/47DkAAuhiMKS7O12V1ADx30PgvP8RepJLhN+8nt+rWGvVst8d1K0RjXN0kYR4jULMcSi+18j+i54/HfD+Ms5L7Xi/a6avSz9m2uZisWcoG8hdtXs6EV81acfm0jYXHqdAs8NhTed5zP+TfJefrdW/E6w6F+uXpJ+V9b7ef0axx7Oc/stwkORgb038+auRCvo4YTDGY4+Jw5W7u6hERaQREQEREBERAREQEREBERAUhQpCCvEnuO/dd+BTPlZZ5NuvILN7QQQRYIojwWMcLW7NAvfQWfM81UVGfLlDqzEC68dLHgp7Y1eXUuoAbnUjn5Eq4NHTw93RKQVOnFWATo06b040sHYjTkHA94XqBdafEe5YmVxkLGlrcoaTYtzgfsjTTlfVWY13drm5zWj+YH8AT7kF6hwvQ6g6G+d8ipRRXkHpH6F4vhWIdxDgtmM6y4as2m5DWfXZ4DvN5abd/0R9bGCxdRzn6LidiyQ0wu27kh035Oo+a9AtfIelXq/4fxEl0kbWTnXtYS1rzyt4Gj+W4vxV2j69rrAINg7EGwfI80Xij/Vxxnh5vhvEC+MXTM5jPvifcZ87WDvT70gwemL4f2jRu4wOG334jlQe3Ja8Uw3r85S8P/ln/ACcz81tj19Yf/wBDLf8A8jP0QewIvFcT6/R/h8PPm+f8gz81yJ/XJxTEkswuGjaekcT5nj42Pkmh+gSaFnQczy96+H9KvWnw/BW0SfSJx/hw0QD9+T2R7rPgvLnei3pDxM/2h0zYz/nydlH/APk3/avsPRj1IYeIh+NmM7hr2bLZH7z7Tv6UHw2N4txX0im7GJhGHBvI22wR/elk+sfOz0C9l9APQODhcfd/aYl4AkmI1PPIwfVZfLnWvh9LgMDFAwRQxsjjbs1jQ1o9w5+KyfI4OADb0J9rXQjqK59U8pbpciwjkDhY8iDoQehTN3q+6D8Sf0TS7jNY9k37I+AVWINlrerr9ze9+ICvUuMvkl5AiIiiIiCEREBERAREQEREBERAREQEREBSFCkICIiAiIgqnwzX1mbdbHYjyI1CxiwrWm9SdgXOLiB0FnRXrV4hijG0ZRmkccrG9XHr4AanyS3US6nJjceyKsx7x9lo1c7yC1M+Kk9lrIW/e77/AIbBaksRic+znkdBIXvI1LzWVrfstAvTxC7LZWtpnMADY0KGxPI0LXGW5Xnhje7y5eK4PI5pz4iSQ6ENGVgJ5b2AtvhvDuzovcXvo6nZoPIaa+Z+S2XYtugFkk1Q3stzUfdqs+3bqAbIoUNTrstTDCXazHGXaxSCqDim2W3q0WdNBoDvtdEaeKmTEACwQ72dAR9Y0D5FdNxrcYYnAxSf3kUb/wB9jXfiFzpfRPAO1dgMKT44eP8A2rqxztJoHvfZOjh5t3Wu/GtLmtAcf2hae67cNca28vdqp3Q3FGH9HMGz2MHhm+UEY/0roxsDRTQGjoAAPkjXA7eHz1ClpvUbFVRzqFo51CzoFViToPF7B/Vf5KMY1xbTRdkXRAIG9i+a1IxctbWxvDhY2/TRUvfTzoTTBoN+84/os8OHAU4AVoADeiPeQ6g29CdwNiP1T1LzJtU1rgS4t1dqQDoKAABPlfyU9kQ5xa0CwwdObi78QrWTWaIIdvR5+II0KykkDfaIHmrup2zXlSYnF7H3QAcCN9wKy+8KOwdVZtK5CtfPz1KthfYHUi1EkoDhego+WlbpumsfKWNddl16VVaDy1Viw7Ua9BueXI7+8Ke0HUbXvy6rNammSFYmQbWL00sc9lkioREUUREQEREBERAREQEREBERAUhQpCAiIgIiIC0nD+0C+UTsvmXDPXjWX4rdVWIgDwLsEGwRoWnqD/wFTKbStebA5yCTRzlx8W6DL8Gt+avOFbmL6OY3feNaijpdXQHwCMzjfK7xBIPvbRHzVykxiSRQzCNFED2TY15gOFnx7xUjDNojU7czYA2AI1Faq5FdRdRS/DNObTVwyk8yP+V8FViI2tyhrazSN/Ev/wBK21i5gNWNjY8DRF/MpcTShmAjAoN52dSSdK1JNkUSK8SshhGhzXAatBA1OxBGvWgTXRXonbDUamMyNFkuANNyt3f0aBv12rRZ4B1xtsUaqtNKJFadKWOJicXNezKS0OFOJA72XvChvp81dh4sjQ27oanqeZ+NqT5knlGKjLmkD2hRHm02PmFOHmD25h7xzB5g+KsWrNhTeeN2V/Pm137w6+K6TV4qZbl3G0qZs2YFrb7rhvW5bWvuK1zjHt9uF3mzvD4bhR/1eLmXDzaVqYZekYy6uGtW6/b+Ww2JxOZxAIByhuwJFWSdz8FgcKaIza7jT2TVaa7dR5qg8Zj5Bx8m/qo/6hI72IHebtP+fFXtzY/E6Xvv73+G6IiCCHGgAK61e/xWEzbkAsjuOJrxLRSwwwmJuRzQPstH4k/ktqufNZvFdZO6eNMeyG3L9BX5LF2HadDdaCrNGtlaizutdsVOw7fI9dzrV789BqrSiFNrJIhERRRERAREQEREBERAREQEREBSERAREQEREBERAREQEREBERAREQEREBERBIWM6hFZ5S+EwLJyIl8pj4QiIo0IiICFEQQiIgIiICIiAiIg/9k=)\n",
    "\n",
    "Data Science, Big Data, Predictive Analytics, Machine Learning — популярні тренди у сучасних інформаційних технологіях. Посади спеціалістів з аналізу даних стали одними із найбажаніших в ІТ-секторі. З’явилась велика кількість Data Scientists та популяризаторів цього напрямку, які розказують про фантастичні можливості сучасного аналізу даних, машинного навчання, зокрема, нейронних мереж."
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    "Це основні причини, щоб взагалі розпочати цікавитися програмуванням, оскільки в майбутньому потрібніше знати не як писати ручкою, а як кодити.\n",
    "\n",
    "![](https://www.idgconnect.com/IMG/777/49777/shutterstock-10338536170938-620x354.jpg)"
   ]
  },
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   "source": [
    "## Ось рейтинги мови Python від різних ресурсів:\n",
    "\n",
    "TIOBE Index for September 2018 - https://www.tiobe.com/tiobe-index/\n",
    "\n",
    "![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA7AAAAGICAYAAAB4CwwrAAAgAElEQVR4Xu3dfZQe1X3Y8Z+ErcQxdWxvjA2yk90NSfyCgbZya61UChufyhYRcuM0sYxQI4mqpT4gNWrqA7b0hwTi+JyqFVIIiQ4SrZCR0zYnFjKco5YslKKVG+QEKbh2bbK74RjLyBa1jZ0XYdieeb/3zp2355mZZ+aZr/4B6Znnzr2fe5+Z+5v7Mgvm5+fnhT8IIIAAAggggAACCCCAAAIINFxgAQFsw2uI7CGAAAIIIIAAAggggAACCLgCBLA0BAQQQAABBBBAAAEEEEAAgVYIEMC2oprIJAIIIIAAAggggAACCCCAAAEsbQABBBBAAAEEEEAAAQQQQKAVAgSwragmMokAAggggAACCCCAAAIIIEAASxtAAAEEEEAAAQQQQAABBBBohQABbCuqiUwigAACCCCAAAIIIIAAAgiUEsCef3izrNhxQtNce/8p2XJ1MWAnnR2yXe65YSThi+fl6G0rZOe0//HENjm+d7WERz+zR5bcfNj/cJlse/QeWX2JmdQZ2bNkgxw2v3vuqGxeuVPCUpifFytK545uexuw5d+rxKR21Lkqzixw3HCtHDy1Ra70vxl8vmz78ZTfeOZpOKAmgeTfhF6vNWWnMaepox3XcY7GgJIRBGoQSL6eiRS+Jzl9zScn5dRtzt3N71NKt6+LNVRhz6egb9IzXaO/2HcAe2bvEtlwKKGM6w76P/Bsg+wbthG8BkkG59CC1+BD44KiHqMFqMEFyMhngfxnl3B4jxiGNpB4c6MN5Gq4yW0gegCQ/RvPdSoOqkkgrcMndNYqrQV+K5XykngHBdKvZyK5B12CfiR9g1a0IvomraimnjLZXwAbBoTGKFXmv3t5DS4YsQuLbfQzGCENPgtHTL0gVfxAOkgzaLSxc0wsk2XTJ+SEeo6MtIMRpJ6Eh/1LmXWd1DYa1gaMevLa5Jg2gjjsVdlz+cI2oD4wUh44+Td6tVO+cW6F/+DLHOGOP0yKOhbRk+5t22dlZzDrw+hIqNeTtfcfl7GDzqwNNW/GOeiIWKveHkQF9erXm/gzVybWylo5LIenldEM46FibJRDnfWy7qAcHz3gzuQxr9nL1q0VOXRYTvizIZZ/yZjxo1zLw+v+9m0yu8OfUePXb9SRUdqccu3fdvlO2ek+jDXK5vyT0kZMl+jv22Rsx07x5gCltGsnvxtmZcXNhxNHfnIFsLGHtkobt5YrPtKkm2yU2ZXK7CTzvigiQb6i32T8wbJZz6nncKiM2U+FR8N6vnDxxS4JJP6mYgFpSpu2/uYmZcqZ1Rc+1CvpPmWei1mBxZsrfZPiZi36Rl8BrBkkquUOO5GpI6ReEHvT88kdkjBNvyFGNzd1KvByecqdWqzcwI3jo+nJL8SnECcFsFwwMpvy0LQBtaR+exCmumbWv3NAYhtwHO8U2e5P8098Ah7+zhJmWcQ6BvFshR3qWAdjmSybOCEnwmuDfbYFnea4aaEANvy6H7h9S13OoaQdBoLxelg2sUxOTMcD2PDbSuBn5jaov6Sn7UHaWlpOuzSXjgQHBA86lRPFAmv/+tBLuw7yk9TuMgPYpHwHvkmfK4F1/MGx8XA3RwBr947PuojcE85hVGju0bBcVygOQiB6+BL7zRkBbGqbjl3XnD5nUgDbx30q6/dNheYSoG+Si6m1B/URwBpP4s21psEP0L2hLg7XrsY6mpbRmeQ1sJGzfoP3g1J1WlviNA/7Gth4J4S1j9mterjaQFBe76LHepbs+neOCNpAtlf4GwsD1qy1Q2b7ioIec6aF1ymR8DoTdlLMJ7CxB2H585/PY3iOSp1yF5sJo14vowcR8dFz77hwFDXWFiwzc9IeJCZ1Po37Sjjl2Zi5c2X49yD/URszg+Lg70kjsJIwO+jK2ChA5NNzAGs2s8RZREG5zDqJ/5Ziv88cAayZDb3DmH0O8ffPiLUTHh4Pz4WkISVJn0Kc3N+LBUGxvqV5HyvhPqX1n5kD2FsTyn9vp2/Sm/Cgv1VTACveqGfKuqnMJ86KVGx017aIvmAAa3vqxlPgrOZZJIBtfhtwS8voa1alG59ntAHL7zbqtCffYPTfoxlcJM20sDzIMgLsxZYN57ws8sDKrPjskUVl+mfakgw/YXX66eST3t4J6jXWnJ6aek8wRyiMacJJD0pjG67EgrR4e06eMuxtRhbPp96ugzanBauxBym6fv77oTGSbQbRSr1ovpcFU7/VjRCNh7sFAlizrbj+Oc7xQuIeGtkPxApeqDi84wK5rme2fqb/b7mvKSn9Ue8akH2fujK8b0UZYpZQ0QZM36SoWNuO7yOATZk6qKyV8dYOlRe8xIPXhFGgxA6CZQQ284la26q1vvzmn0Lc8DZg6WQX3UW7PvVmnSl1ms7KWdno70Sc1dGPbtrmqFEdAWyBTTyaxV9ZbnIFUZYgJwwSjVG0UgJY81qdMAKbu7PZ1gA2a9lLVvCZI7gMp1fb1hj7bxkwf/va33OcIzmA5YFSZT/sjiacOHPCeHiZ2qadN2tk9hctM4u0/mieADaopIQHVB2tw6LFpm9SVKxdx/cVwIY/ZHP0QlmH5nUkLFOmjBtsMJUo7SmTPXj1wDMvOmG9xAPY5BFdbqKZzTlzE6cgMGh2G/DKmX/KSaZLlw7I2ijB7wDHf+OGd6zTHdy88wawvUwh7lJFFStr7wFsuVOI1XtC4uZ8DR6BrWIKcaxugt9g3hHYq7On90brg4PRUPM7Zke9+DTl+BTiYm2UoxHIK2C7noUzfRKXtViuZX0HsDnuU7FC5R9NzOvRiePomwx1NfcXwCqBo1VJ3d0ztrmK9w37TsSW6UOJm1L4x1rTt01DsozAJm7kYbxndqibQu+Fy/0anSa3Ae8xiP0dwb3TdOSbSZsvOcVPe41OQgAbU8sbwI5ET8fDNPJt4hSuX+xIjeUpZu8BrDJKYZ6oh02cbAFsLP9NDmBt0wH9Dauy1sDa6sn5znbZEXv3unts7gA22tQmPEdsh/6E18uF9+2sz3Ocg81q8vwUOaYEAfv1zFzzHoyOxk9o3yjQuTf5u3dbdiEO34NuzgjM2mwwoa/EfapoQ6BvUlSsTcf3HcA6hbWtLbCuHzV+lPrNW70ZxgPP5AX48fVwXgUkjZ4mBCnmjZRNJAq146FqA9R9oboPDo63Af13nD2F2LiWOEHJNVOyJHzdSPJmbeq1JMqHcw3YLnJnxmt0eKeptb77CmCdFFOv9/rrU9SgLGm3Xy+T6n0iXr/m69Qyp/vVMIXY24JFyXesXY/E/JPvd8GrcKJRHOfLjpm3rth8vVH0ENZcY+zmKlyDquymql7/1Dqc2CYHPzQlG5RXHWl17HzvMyI7Vu6UE8rD68xzcO/t6XrLl4oJJF7PzFlk6k7D1jatBkU9BrBavznhPhULYlkXXqzGo6Ppm/Qq1+zvlRLANruI5A4BBLoiEHaWYyN93Pwb1QYsU7vS1tM3Ku9FMxPb6TjllR5F0+75+OwlHfGwuujJ6jhH0TxxPAKDF+A+Nfg6qDsH1Hn54gSw5ZuSIgIIDEggceRKXc4woLxxWkUga0nIUGElTbUd7B4Lie/MLfH913WcY6iaCoXphAD3qU5Us1ZI6rz8OieALd+UFBFAYIACsU4zU8IHWBspp7asA3PeEbvafKd4M3NfLFeWgH3wr2mzrA8r/UFPHecoVhUcjUATBLhPNaEW6s0DdV6uNwFsuZ6khgACCCCAAAIIIIAAAgggUJEAAWxFsCSLAAIIIIAAAggggAACCCBQrgABbLmepIYAAggggAACCCCAAAIIIFCRAAFsRbAkiwACCCCAAAIIIIAAAgggUK4AAWy5nqSGAAIIIIAAAggggAACCCBQkQABbEWwJIsAAggggAACCCCAAAIIIFCuAAFsuZ6khgACCCCAAAIIIIAAAgggUJEAAWxFsCSLAAIIIIAAAggggAACCCBQrgABbLmepIYAAggggAACCCCAAAIIIFCRAAFsRbAkiwACCCCAAAIIIIAAAgggUK5AagA7MzNT7tlIDQEEEEAAAQQQQAABBBBAAAGLwPj4eKYLAWwmEQcggAACCCCAAAIIIIAAAghULdB3AHvhwoWq80j6CCCAAAIIIIAAAggggAACCMiiRYsyFVJHYAlgM/04AAEEEEAAAQQQQAABBBBAoAQBAtgSEEkCAQQQQAABBBBAAAEEEECgegEC2OqNOQMCCCCAAAIIIIAAAggggEAJAgSwJSCSBAIIIIAAAggggAACCCCAQPUCBLDVG3MGBBBAAAEEEEAAAQQQQACBEgQIYEtAJAkEEEAAAQQQQAABBBBAAIHqBQhgqzfmDAgggAACCCCAAAIIIIAAAiUIEMCWgEgSCCCAAAIIIIAAAggggAAC1QsQwFZvzBkQQAABBBBAAAEEEEAAAQRKECCALQGRJBBAAAEEEEAAAQQQQAABBKoXIICt3pgzIIAAAggggAACCCCAAAIIlCBQbwB7ep9MHBqVY7tXyUgJmSeJFgrQBlpYaWQZgTwC5+XY1lUyt25abr0qz/EcgwACCDRUINZXeVb2TWySI5bsLv30Mdl9va1Xa3znxv0y/ckrlBT0zxPTsfWbzh2TrR+9W046qS29XetXn39kq+ySOxLy1FDvJmfL8b9Fr/nkOhdx/Ffd5daMUTfZbUj9rn4O5/66S+RTu2XVJU3Gqi9v9QWwQQMwfmj1FZUzDVyANjDwKiADCFQnQABbnS0pI4BAbQI5+ypesDEq+6dvFTUs9fLpXQ/vHg+CVu/vT0wGwa75dy+4kfuMB4AJeXn23gl5YNRJS4x0n5V9W2flEwwUldZcHOvHl+d7MGu2Cee7m8R8cBFlTT/eaQMPyOgXdssqcR5QPCHXOv/vBKyn98nWb36ChxJKrdYQwAZPHJbKmhtFjsxcywhsaT+rtiREG2hLTZFPBHoXiAew7s37c0qKwQiE2ykTvePnjijMyXq3M+h3/vyH2O6D7MRRjt5zzDcRQACBSKBAX8UfAR01A84wsXhA6gYrc+u9UVjLNVD7XNLyol9r1SCpSLBFzasCSvCojXAWGfk0H0p4gWfsXhec1mxD2j1QbT/O/z8u11kflHS3FmsJYI89cqmsun7EG1afIoDtXnN7VmgD3at1Stw1AUunakaZ2uaPJKxxO3xpnbtLjZGLYEqWyO3B0+iu0VJeBBCoQSB/XyVrZC1rBNbaH9aCnfS8WEdgPzAtWz8rcgejrz20laQA1hnRfkDmTp70pmsXfJia1k7in9lHYCeeZkq4rUJrCGCj0xLA9vCbGrKv0AaGrEIpDgKhQNYUYj1o1W/eGd91n0wr06lQRwABBCoUSO2rFLgeqbNQvId3Xqb10Va/INoIXFbfWVlP6S/NO1tgqmuFdC1NOiGAjY20e+5zGTOCorWsa+xTzJPakLLe1pt1dJbR14QWRQDb0p9aW7NNANvWmiPfCGQJ2INQbUMLEQk7cepoQ0LHTZ+CvJQR2Kwq4HMEEChFIK2vkq8fYwY6+prY/gNYo5jONdQdfZ2QaWftrbe7E9fM1NYQX6oSHZ4QeDoHpE0LNs+XEKjma0Pegw53Qy5ndD1h065SGnwLEyGAbWGltTnLeX+0bS4jeUegmwJ6ABt/Am1OG47+/olvKmvDRCQMXINN/wqMeHTTnlIjgECZAsl9Fcs6R9uJE9f5ezNJnGmhsSV1CYFRdr9JWad5Nnrbh7Bsr0CTSJpCbEki4YGr/WS29pKzDYUPJVaJM7pu37SrQBGH7FAC2CGr0KYXJ/tC3PQSkD8EEPAEzBu+GsDaRmPj6169acS3y+0zdyuv37F0JAhgaXQIIFCjQGJfJe+1KCOAXeUEmsZGdtZR2WC6cdr+Mc65nrrO3RwqtlEUr67M2WrsAWziWmWrq20naUuwmrMNRRtyxfeX8ILZbr+QlAA2Z9PmsHIECGDLcSQVBAYvYNyYtZuy/ZURzrQ2dR2YNxXLeb+eOtXNPlJ7hOlwg69ycoBARwQS+yq5p4+mTyEONnmKXquT8BqdzADW2CVXeWcsI7BFGmuxNbCx1x35pzLbjfVVS3nakDL66oSpya9NKlLG4TqWAHa46rPxpSGAbXwVkUEE8gv4G1wEuzNqwWnss2Myekh9L2IwirtJjpjvB9deHO8Et+tl7qPZG2fkzzhHIoAAAskCSX2VYlOLlY2WnFOZ17nwVTlePpJeFZa5Hjd4NY+birquM2UdJ5WfX8C4l2n1ZAlG9b0b4nWQ3Q+2zGBS8xC8ji5/CYbyyFoD2KEUpFAIIIAAAggggAACCCCAAAK1CBDA1sLMSRBAAAEEEEAAAQQQQAABBPoVIIDtV5DvI4AAAggggAACCCCAAAII1CJAAFsLMydBAAEEEEAAAQQQQAABBBDoV4AAtl9Bvo8AAggggAACCCCAAAIIIFCLAAFsLcycBAEEEEAAAQQQQAABBBBAoF8BAth+Bfk+AggggAACCCCAAAIIIIBALQIEsLUwcxIEEEAAAQQQQAABBBBAAIF+BQhg+xXk+wgggAACCCCAAAIIIIAAArUIEMDWwsxJEEAAAQQQQAABBBBAAAEE+hUggO1XkO8jgAACCCCAAAIIIIAAAgjUIkAAWwszJ0EAAQQQQAABBBBAAAEEEOhXgAC2X0G+jwACCCCAAAIIIIAAAgggUItA3wHszMxMLRnlJAgggAACCCCAAAIIIIAAAt0WGB8fzwRYMD8/P595FAcggAACCCCAAAIIIIAAAgggMGABAtgBVwCnRwABBBBAAAEEEEAAAQQQyCdAAJvPiaMQQAABBBBAAAEEEEAAAQQGLEAAO+AK4PQIIIAAAggggAACCCCAAAL5BAhg8zlxFAIIIIAAAggggAACCCCAwIAFCGAHXAGcHgEEEEAAAQQQQAABBBBAIJ8AAWw+J45CAAEEEEAAAQQQQAABBBAYsAAB7IArgNMjgAACCCCAAAIIIIAAAgjkEyCAzefEUQgggAACCCCAAAIIIIAAAgMWIIAdcAVwegQQQAABBBBAAAEEEEAAgXwCBLD5nDgKAQQQQAABBBBAAAEEEEBgwAIEsAOuAE6PAAIIIIAAAggggAACCCCQT6DvAPb8w5tlxY4T/tmWybZH75HVl+Q7OUcNhwBtYDjqkVIgYBV4Zo8sufmw8tFaOXhqi1wJFwIIINBGAeeadnBMju9dLSNh/s/L0dtWyM5ptUBp1zr9+GXbj8s9N3ip6X2ihPSM66r6fTl3VDav3Cluz3pim5ZPJ+0dsj08Vxv5m5LnXPVkZFb/Trx9pH2ufqbVtzhtaYfIZ4ifirSNvgJYrzLGos6M+4MUOjdFaqDlx9IGWl6BZB+BFIEze5fIhkP6Tdr7zQsPK2k5CCDQPoEgcDQCQzdovFNkuxbUJhXPD14vPyinbnMe5Z2RPUs2iNx/SrZcbfuO9/lsEOT6AepYeLz+fee6e2DUCYjFDaqnPhQEx2dkz22zclOuPLavagafY6OezAwZMY57L3xsMnrAkPq5k/YBGXMG+cR5QDElk8GA3zN7ZPPzN/FQomAD6COA9X7A0Q/Lfe7k/tvshqQfccHccXjDBWgDDa8gsodA7wIpDyTdwFaCzlvvp+CbCCCAQD0CXnByWJbJ2nUih59TAg8nA8717slJPyDNyJEbgCoBiBPCplwT3c+ei0ZS06+fej9aPdb5/6lr6F8Xby9K8JgyQ9SsJ/08tv6umm7G527QOisb3dlL6gML5/+nZJJZTYWrtY8ANvkpU/JTqML54wutE8h6Etm6ApFhBDopQJDayWqn0AgMqcAZOfrwYll9w4g3xVcdOfOn/e54TOTEdLAkrshSiZR+TyzYze4jWUdgP/hUgRHiIa3CnouVI4C1PJTQT2erNzVofcEyCm9+Hh+BXf4lpoT3Wq2lBrC2i0KvGeN77RSgDbSz3sg1AtlPmzFCAAEE2i9g66eYo2+x5VHWYivrYNfZZ6TEHwQGwdRGmV3pjAh7f9Zq04+D0eJoDewLjL720fCyA9jsB7b2NKKHDU4A6weoyihv9PmIN8rv7yfhrYF1vsPoa68VW1oAy7qoXqtgeL5HGxieuqQkXRewTYfqugnlRwCBYRDI96C92DXQnqZt1C4ITpUR3tiaWEM5XJ+7XJ4KN5pi09T0tmjblCv4hjm6nj0q7q1zTgtQcwSwRobDDbmc0fWETbuG4fdWVRlKCWAJXKqqnvakSxtoT12RUwTyCGQ/kc6TCscggAACzRLIF8B661q9zZSivYoTS2KbgmrdRyA5ELLvK6DsUPutaPdksUyDbpZyk3KTMQKbawPafqcQG21I2TTMGV23b9rVJMPm5aXvANa2S2XzikmOqhSgDVSpS9oIDEgg5aaetwM4oJxzWgQQQCBRIH79Sg5OrJuS2q6NuTd2sm92mvjAUNlcys333EZvoynrq4CodLtAegCb72Ftn5s4GZtHRRtyxTftyv3QpOPV3VcAm2+NQMeFh7z4tIEhr2CK12mB5NfonDDWbHWaicIjgECLBHKvgTU2eoqKaAYz5mt1nCNTpiCbAXDiFGLj/aBK0MoIbJEGlxbAFpgq3tdrdJT8Gq9sSn5tUpEydu/YPgJYZZG54aa/oLd7qN0pMW2gO3VNSbsqEH/Ze5HdObuqRrkRQKCpAkkzSLwHdkGu1etc0uhbtAmTxDZxylhXqWzo45xR38TJy4M24ur9i/uqyp3T7jfkIK9eKaGJpdSTZaRdvx/G6yDrc+vrRv0HGO7+1wmbgZVQ0KFLoo8AdugsKBACCCCAAAIIIIAAAggggECDBQhgG1w5ZA0BBBBAAAEEEEAAAQQQQCASIIClNSCAAAIIIIAAAggggAACCLRCgAC2FdVEJhFAAAEEEEAAAQQQQAABBAhgaQMIIIAAAggggAACCCCAAAKtECCAbUU1kUkEEEAAAQQQQAABBBBAAAECWNoAAggggAACCCCAAAIIIIBAKwQIYFtRTWQSAQQQQAABBBBAAAEEEECAAJY2gAACCCCAAAIIIIAAAggg0AoBAthWVBOZRAABBBBAAAEEEEAAAQQQIIClDSCAAAIIIIAAAggggAACCLRCgAC2FdVEJhFAAAEEEEAAAQQQQAABBAhgaQMIIIAAAggggAACCCCAAAKtEEgNYGdmZlpRCDKJAAIIIIAAAggggAACCCDQboHx8fHMAqQGsBcuXMhMgAMQQAABBBBAAAEEEEAAAQQQ6Fdg0aJFmUkQwGYScQACCCCAAAIIIIAAAggggEDVAgSwVQuTPgIIIIAAAggggAACCCCAQCkCBLClMJIIAggggAACCCCAAAIIIIBA1QIEsFULkz4CCCCAAAIIIIAAAggggEApAgSwpTCSCAIIIIAAAggggAACCCCAQNUCBLBVC5M+AggggAACCCCAAAIIIIBAKQIEsKUwkggCCCCAAAIIIIAAAggggEDVAgSwVQuTPgIIIIAAAggggAACCCCAQCkCBLClMJIIAggggAACCCCAAAIIIIBA1QIEsFULkz4CCCCAAAIIIIAAAggggEApAgSwpTCSCAIIIIAAAggggAACCCCAQNUC9QSwp/fJxC1H/LKskf3Tt8oVVZeM9JslQBtoVn2QGwTKFNB+307CXOfL5CUtBBCoWuC8HNu6Su4+aTnPjftl+pO2XqvtO+q171nZN7FJgt7v0k8fk93Xjygn0D9fc9+03HpV8LH6mXE9da63T12XkKeqnTqY/rljsvWjd0vQNOL1qJpktQmRZ++dkE2f87+z9HY5tnuVBK3i/CNbZdVd3pn08zjp7hL51G5ZdUkH68BS5OoDWLdjMye3f8FDdytn6lqtwqiKIRegDQx5BVO8Lgt4N2O9g+XdhCW87nfZh7IjgEBLBYy+S6wUTmDzWZE7lAAkOsYPQJXg17lWPjAaBLHe53NBUOsGSU/ItWpfeW69G6S611gJgmgnkHlIxnYzEFRLq/KD19Hw4YJXb6I9bFByktomguBVuV86bezQqB8TOWk/IKNOGxC9PcjpfbL1m58wHoDUItDYk1QewOo/PBExfqSNlSFjpQnQBkqjJCEEmiXgdvDEOqsm9rt3c67coBOeIuudvGYVl9wggEBXBIwA01bstJFQ27XR7f/OyXpnFmLsc2/k7olJL8BVr4PqwI88slV2yR0EMqU3Q/u9yTbo5v6b/3Ahlo3U0XFb8OvV+9y6abn1UqV9uPfKIFB2/v9xuY7Zqxp35QGsWbmMwJb+q2tdgrSB1lUZGUbAKmAPUtOwCGBpSggg0HyBPP0U55hdUyInTwaTS5NG1vzypg3g5BqBFQKZyppO9r0pOHXafS+1TVgf4KoPLs5aR2Annuahha3a6wtgwzVSS5lWVtkPsOEJ0wYaXkFkD4EiAvqIQb5vZncSGIHNJ8lRCCBQlUDGNFH/tG4gMxOtYfSWToz6M1LiI7jecguzDxytdY2veQzW5HqB8aWMvlZV4blmB7knz5hFmt4m/CnESptxpgY7ewSFda/sJ+H9mxPUMvo62AA2PHu+C0OFrZSkBy5AGxh4FZABBPoWyBvApmyO4m/25HTMgo0rzGzpG5v0nWkSQAABBNIFUpZGpH/RuCYam/+suW+/yC3+GkfLEor0GS3RNFJRNgHi+thPY86+N2lbd/n1KbHNuNLyYN4njXPeuF/2yyZlbbSeljui60wZ/8B0tJGUsfFTPwJt/m59I7CKUvFpZ20mJu82AdoA7QKB9gsU/x0zAtv+WqcECAy3QPHrWuSROoNEXQNrI8zYU+Dx5cY6yZ4D7eGuv95Kl3Fv6il49XKSPqtIWQMb7kDtl0DZEOpsuAGYaGuleyvrcHyr4gDW/oS+n4vDcLB3qRS0gS7VNmXtmEBKB8q+howAtmMthOIi0DKBvDPEMjbkMYMR0d/C4WzGFHsjR9L1VN3ZVt21Nisgbpn8YLObcm/yp/Vmj3YXbxNpU5KdWMl9aHGVHuSyzMZrKRUHsCLe/BEu034AACAASURBVG5ll8qsbckH24I5exUCtIEqVEkTgUYIJL9G56TEb/gEsI2oNDKBAAJ2gQJvyrCudwxfE2kEM5mvY0ne9TgKZII1mEk7GVOpvQsk3Jti9ZZ+hvQ24a+B1V6JtEruHre8Z9h4HU8UtDICG9RA9QFs8NTJfzGvCJs49f4Da+831Zcz0wbaW4/kHAGbgP77do7Q3wuLGgIIINAKgYKzSrwHeEHJjOuesQZW36QpCEbvlmAP49jnTrLae0K980TnpD9ddZvS61c5W7AO1dJeUtuEGGtgretZLdOK1bakvFu46vI3Of1aAtgmA5A3BBBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdggQwLajnsglAggggAACCCCAAAIIINB5AQLYzjcBABBAAAEEEEAAAQQQQACBdgj0HcDOzMy0o6TkEgEEEEAAAQQQQAABBBBAoNUC4+PjmflfMD8/P595FAcggAACCCCAAAIIIIAAAgggMGABAtgBVwCnRwABBBBAAAEEEEAAAQQQyCdAAJvPiaMQQAABBBBAAAEEEEAAAQQGLEAAO+AK4PQIIIAAAggggAACCCCAAAL5BAhg8zlxFAIIIIAAAggggAACCCCAwIAFCGAHXAGcHgEEEEAAAQQQQAABBBBAIJ8AAWw+J45CAAEEEEAAAQQQQAABBBAYsAAB7IArgNMjgAACCCCAAAIIIIAAAgjkEyCAzefEUQgggAACCCCAAAIIIIAAAgMWIIAdcAVwegQQQAABBBBAAAEEEEAAgXwCBLD5nDgKAQQQQAABBBBAAAEEEEBgwAIEsAOuAE6PAAIIIIAAAggggAACCCCQT6DEAPa8HL1thUx96Ljcc8NIvrNz1FAInNm7RDYcUouyTLY9eo+svmQoikchEOimwDN7ZMnNhy1lXysHT22RKzNVzsieJQdkLLgWnDsqm1dOySTXhkw5DkAAgTIFvP7pzmlLmusOyqnb0q9m5x/eLCvmNurHudeznXJCTVJLy7n+bZDwCjqxTY7vXS1e71j9zLieOtfdJycz81SmTrfT0utp7f2nZMvVySJuW9jh17pWp853bO0sql/1u8u2q7GS870dIp+h31ykLZYWwAYVo1dKkaxwbDsFnB//lEzm6tC2s4TkuneBP/32l+TV134sH7hsee+J8M3BCDgdqYNjSqfLy4Z3rR/LEcQSwA6m4jgrAghkCrgP6GYzH7aHQYcR6Dr/vkO2JwzY+IHM5VFw7D7oF+/vakCs/rsXAD0oY3vzPCDMLCEHZAp4wetsEExmPGQ173163YmI8/07RbaHDyrUDCj3QzEe5j6zRzY/fxODf5n1pR9QTgDrVtqsjMlhmWUEtmAVtPzw1B9sy8tG9vsScILXP/q/3vPnVb/wG/IPLvtHfaXHl2sWSAhgvdEDZ2R1u8id5qwbr0Mg9x8UuTkafXCfal/m3bTH1okcPpTwBFsb9dVncjidhQOj22Rsx85wVCPraXnNYpwOAQRaIWAELrY8hyOsa2XtusNy2A8+g0Od69HUNQmjde51TBIf8nnXMm8Ezg2KHpt0HxRKalDcCtiGZtJ4mBrkMlZPaTNJLZ+Z308bPXfb06xsdAd7gvuk034YBOq10ZQQwAZD37bOTK/Z4nutEXCeHB2clRPTwUQapg+3pu4qzOiXz56UL3z9czI/P++eZcGCBfIrl/+6/MPF11R4VpIuVSAzgL1Hln8p6ny5U+O079hGYHfKiXAkw+hEmiMixt+9pQrR9SX/SHCpKiSGAAItF1CDxsQFb+eOytFvrZbVV4vERtrckdIdMiUn5EQwLVkZoY0fr4PZR2CF2WyVtauEANY8X8FlLmY9u6Pyj4nSH1anh9tHYJ17aPJIfmUgQ5Fw/wFs+MRhMWtgh6JJFCtErBOZc1pOsbNwdJsEzOA1yDtBbJtq0QxGo7y7N+3n/PVcxg1fHVmIRmr9dT2WzkHUAbDfP9QOgnW6FmtqW9aoyC4CgxZQR7/y5SUekJojuPqU4eA6uHFuRbQ/iDYFWV0r6QU5ixl9zVcZPR2VFcBG62DzLIOM1rLq65e1e6NtuY0yw8g7zws8tOipPr0v9RnAqkPfbOLURz0M1Veznj4OVWEpjCZw6uy0HP36Q+HI6xte/0ZZuGCh/OjCy+Fxv/ILvy4fXPyPkWu6QK5NnLzr/uwGZyqUuRFF9hrY6FrhjD44U4/1KXnJa8X89UYEsE1vReQPgWYJZEzvtWU2V59GeUA39nlvY8toiUN8Tax+nqgvLcqmmCyR6KfppGzcJckbEeaq6yBbmSO26XFRuI76g09FG4LFNobqx2C4v9tXAKuvASCAHe6mkr901h378n+dI1sq8PS3npKHv/F5LXjdcNVtbgB78PRegti21WviFGK9IOHv/eOzxgYWBLBtq3Lyi8CwCxQKUHyMfN+JrndOABuscQ09UwLnsC/t7hPgr5PsIdAe9rrrvXxZI7BKyoXcs+MefVaSch5l/5gXwjXRwkzWApXcRwBrbBGunjTHtuQF8sihjRWw/3gTf7CNLQcZ61fg2z98Qe798t1h8PpTr79Y1l91q1x68TvdpF/80bdiQey/+nu/Le9802i/p+b7VQnkDGDdnRdXzsrk9lmZ0nblLBLAMoW4qmokXQQQCASKTx92vhkLYG1BjrJJjzMdOPbanaTASN0IU73mapv+UIP9CdgDWOta6MQA1tZ21D6wMx3YnEWkzlDSSxANAOrH0H/OX9N9BLDmSbKfROTPFke2RcC+BjZ59722lIt8Fhf4X8//Dzk+8wVxgldn5PUdFy/WEjn3o7NuEPvDCz+QXx69Xq4bXVn8JHyjPoG8AWz47jtzA7ciAeyV3gZQ6mstbJs4qTuBZk7fqo+KMyGAQAsEerxm5F0DOxW+hcMMdpKnEGszGdWgtdBIYAvsB5rFpBFYs57Sd6c2A17ra3WC/SGCNbD+DtPaZmHG2zuioJUR2CLNhAC2iBbHWgW0FzsLuxB3uZlMf/NxGX/zL8aC18DECWK//tJXZPm7PtRlpnaUPXcA678b1nKj9nYOFnE3rHDX+UzJ5KPRy9rtIxveq5fEuJawiVM7mg25RKCxAilBYdrOxPYpxMYsxNjMw6zP7RvlBddM8/rXWNO2Zyx8XZJ/1wneCev81dJeovpxDoivpc363HvXb7BvhI+n5oEZrLlbVIkBbO5zciACCCCAwBAJhJtR3JD4UoohKi1FQQABBBBAAIFBChDADlKfcyOAAAKtFzB3H259gSgAAggggAACCDRYgAC2wZVD1hBAAIFGC/iv2snz7rxGl4PMIYAAAggggEBrBAhgW1NVZBQBBBBAAAEEEEAAAQQQ6LYAAWy365/SI4AAAggggAACCCCAAAKtESCAbU1VkVEEEEAAAQQQQAABBBBAoNsCBLDdrn9KjwACCCCAAAIIIIAAAgi0RoAAtjVVRUYRQAABBBBAAAEEEEAAgW4LEMB2u/4pPQIIIIAAAggggAACCCDQGgEC2NZUFRlFAAEEEEAAAQQQQAABBLotQADb7fqn9AgggAACCCCAAAIIIIBAawQIYFtTVWQUAQQQQAABBBBAAAEEEOi2AAFst+uf0iOAAAIIIIAAAggggAACrRFIDWBnZmZaUxAyigACCCCAAAIIIIAAAggg0F6B8fHxzMynBrAXLlzITIADEEAAAQQQQAABBBBAAAEEEOhXYNGiRZlJEMBmEnEAAggggAACCCCAAAIIIIBA1QIEsFULkz4CCCCAAAIIIIAAAggggEApAgSwpTCSCAIIIIAAAggggAACCCCAQNUCBLBVC5M+AggggAACCCCAAAIIIIBAKQIEsKUwkggCCCCAAAIIIIAAAggggEDVAgSwVQuTPgIIIIAAAggggAACCCCAQCkCBLClMJIIAggggAACCCCAAAIIIIBA1QIEsFULkz4CCCCAAAIIIIAAAggggEApAgSwpTCSCAIIIIAAAggggAACCCCAQNUCBLBVC5M+AggggAACCCCAAAIIIIBAKQIEsKUwkggCCCCAAAIIIIAAAggggEDVArUEsM/eOyGbPqcWZanc/oXdsuqSqotH+k0ROP/IVll110k/O9R/U+qFfCDQs8DpfTJxy1zitdy97st+OTb6gKyaulaO7V4lIz2fLPuLwfmmP3lF7GD9+qN8fON+sR2ffTb9CDf9Esro5VMsps/KvolNIvdNy61XiYhrf8SezaW3y7HdEzK9dZXcHVxyY0eukf3Tt0pcqmjJOR6B4RIo2l/Vjzd/V97vNvylplxv4tcQ9btGus7v/6nrSrl2DVftVVUavR7XBNfhjNO5dTq33qin83Isdm2O6le9Vy399DHZfX1w13S+t0vkU8ROAXsNAaxT8Y/Lddwsq/plNT9ds6Pr/l3oQDW/5mrJ4TPn/kRefe3H8vffMVHL+ThJWQLejfiJSfUm66d97phs/ejdMprzRl9GjjID2FhHwuuUzGmdhDJy0nsaYefFDULVgN8SwB4azf1QwN6R6j2ffBOB4RQo1l/1fq+jYV9GD0L9QGU8eEiWfb08qfzu1d+sfm1z0nlIxnbzAKqeNmjcJ9x72xNybcYgXHgtNx9aON//rMgd1ge6zrkekFEnbTHOc3qfbP3mJ5SAtp7SN/ks1QewqZXVZBryVpaA/cmi/yNlFL4s5lam4wSvx/7i827ePzL2MVnyjmWtLEdXM2124AIH9Tcvxuhk4oiFpWNgBqWx0RGlc1A8gBVxvvPAaBSAp6UvkjyaYl7jep1x4nVaR2XN544YgTUBbFd/Y5S7RoGC/dXYNce9hs3JenfAxvjNikjyiNwumRsXOTITzVRRr03m9XSX3EEgU3qzUIJHtV8aG3BJeRDh5Ml/eHtS1siaG4/IETFm+aSNnie2n2IPVkqnaWiC1QewzlODQ3Ny8iTTRxvaBqrPFiOw1Ru38Ax/9uL/li/O/IHMz8+7uV+wYIF8ZOxXZck7lrewNF3NcryTJqLf4NOCWS3wywhg3c7ijDIy6U+jDaZzFQ9g9U5BevpmpyW5jCNmh6fAjJOwg7v8cWN6NgFsV39hlLtGgYL91TJGYJ00nID0DtmlLUOwj8AKMxoraw4JAax5vqwR2HPH5NjZVbLqKu8BqbOMRl2m4tb3lCgxkTo93D4CO/G010ai6cSVIbQq4coD2NgT+ox1U63SI7P5BcKnUiISmx6XPxmOHA4BM3gNSkUQ2776jd2kjYAtLYDVSptjBFbX0YO6zAA2XIOvppK2Hl9NP/2pe1RGb+2pdVp1jqqNdVrDgD3/Glh93ZR3UqYQ58DnkM4L9NRfVdejW9a4qrM64msno4dol8bW0atrJb0gxzmGQKaqZpoVwEYzcGzXWFuubPck80Gpvc15q6a985zloUVClVcewOat1KqaJOkOXqCnm8Lgs00OKhL40xe/JI/M/Jdw5PUNr3+jLJAF8lev/DA840fGPyYfYCS2ohooOVkj8DRv2vr0WnUarhE85gxg9em5Ir2PwJpr1JRgTwl2w06n2lE1HsJFZRyTh9TNlgpS64GmuvbK6cQYmzixBragLocjUFwg7cFYejBirrGPX2+c7z++3NuYLb7UysxrFOyKsjFq3g2Fipe8C9+wbagUlDt5o7u0NqGq5Tsu++Go+9DiA9PuvhLuXFYGgVzmgQSwPA3uwoUhKKP9x5nvh90lp26U9cvfnpZHZ/+bFrze9N5bZOGChXLoK79LENvKZqD+xp1AS1/fbu+YxUcXrsgIYKPANehYFByBjW3iFOzm620o546AuIGrPf2watTZJP6ISzUBbJA/Z6fn9TL3UQLYVv48yHSrBZL7qxnLJ975UHyzSvUad1bfSTgrgA2D3UuVdbYFlie0uhJqyXzWCKySiZzuefu55l4M2r3G3/DpbLhfgyRvnliLU3NOUnEAmxy8qBtnNIeDnJQvQABbvmk7U3zxR9+S/Wf+fRi8/tTrL5a17/1X8o43LnYLdO6vzsaC2I3v3yKL/87PtbPAXcq1c0M/NCr7J5+QTcbrZNI7Zkon0O2Y6bs7Rh2AS92b9tw6/zUyrm1JAaw7kulN/U1LP1adSicmmv5X3hTi4HzeKM9SWXryZLSrs++d99VEPDTu0o+RsvYmULS/2l8AO/ZfzddLBrm2jPypm0upv31t05/eSs23witt7OGr84n1/tVzAJvcZvR7j5enaITea5vBMYkBb8cqs+IA1q98ZZtx7/11vEKlS+2MKcRdqu30sk6/MCWP/eUxcYJXZ+T17W+8TPvCd/7q224Q+6NXXpZr3/VhueZdK8BrhUA0Ndic0pa6Bla7H9heV3C3nHRHOb0ANlpbGo3g9juF2EvTfKptph/v3KpP17VOjnmPy9r0Q6lfe6BpsSWAbcWvgky2S8DeV0nur/Y7hVjVSXvQp0419na59Xc6pj9dYgNLGoE1g05zanhyFnKvgbW9Q9zYETsKWhmBDcQrD2DDJxjhmqK0TTNKbIsk1SiBpHVrjcokmalF4H+ffVJG33R5LHgNTu4Esc9976uy9LLraskPJylHINb585PVO2bmmiPjfmCsM3VHdIOpv+rUXWei733HZPTQKrnbf89iT5s4qZuuZKQfvR7BL5j5zkalE5L7emfb8CpxqvORcL2v9yDY2+gj/id+j2UEtpw2TirDL6D/dvXfki3I1F+9Zf721DX/6WsXEwNYy8Oq6Jz0p2tpkca9QdvEKeUhQtI9SW8ztrW2+oirW0bL0pVayt7gk9QSwDa4/GQNAQQQQAABBBBAAAEEEECgJQIEsC2pKLKJAAIIIIAAAggggAACCHRdgAC26y2A8iOAAAIIIIAAAggggAACLREggG1JRZFNBBBAAAEEEEAAAQQQQKDrAgSwXW8BlB8BBBBAAAEEEEAAAQQQaIkAAWxLKopsIoAAAggggAACCCCAAAJdFyCA7XoLoPwIIIAAAggggAACCCCAQEsECGBbUlFkEwEEEEAAAQQQQAABBBDougABbNdbAOVHAAEEEEAAAQQQQAABBFoiQADbkooimwgggAACCCCAAAIIIIBA1wUIYLveAig/AggggAACCCCAAAIIINASAQLYllQU2UQAAQQQQAABBBBAAAEEui5AANv1FkD5EUAAAQQQQAABBBBAAIGWCPQdwM7MzLSkqGQTAQQQQAABBBBAAAEEEECgzQLj4+OZ2V8wPz8/n3kUByCAAAIIIIAAAggggAACCCAwYAEC2AFXAKdHAAEEEEAAAQQQQAABBBDIJ0AAm8+JoxBAAAEEEEAAAQQQQAABBAYsQAA74Arg9AgggAACCCCAAAIIIIAAAvkECGDzOXEUAggggAACCCCAAAIIIIDAgAUIYAdcAZweAQQQQAABBBBAAAEEEEAgnwABbD4njkIAAQQQQAABBBBAAAEEEBiwAAHsgCuA0yOAAAIIIIAAAggggAACCOQTIIDN58RRCCCAAAIIIIAAAggggAACAxYggB1wBXB6BBBAAAEEEEAAAQQQQACBfAIEsPmcOAoBBBBAAAEEEEAAAQQQQGDAAgSwA64ATo8AAggggAACCCCAAAIIIJBPoP8A9pk9suTmw+HZlm0/LvfcMJLv7Bw1ZALn5ehtK2TqQ7SBIatYitNlAeMaL7JWDp7aIldqJs5vf4fIZ+6R1ZeInNm7RKauOSVbru4yHGVHAIFGCWjXMtt1LCm3Z2TPkg0i96vXNO/fwt7vuoNy6jblqhi7bopE/WP1u0Y+nO89Oamn1SjE9mfm/MObZcWOE35BstqBXs9rwzbg9Xd3Tls8wrZAPVfZWvoLYM8dlc0rd8pYWKG2H3mV2SftJgkEFwUeYjSpVsgLAr0LOIHohkP6Dd77nYtse9QLVr0/zrV/SibdwFYPZns/O99EAAEEShJwA8rZ8LrlXscem5Tje1dL1pCLdx0UiQUvlwdBa/zhfdpDPPfccxvdINVNW9R0HpSxveYDwpIMSEbEbQcSPoRNbwdeTDMbDMy5Mc+UTGr3PgXV1sao58paXV8BrP7DqyyPJNwGAeeHfeesjMlhmWUEtg01Vkkef/AH/1He8MEPy+t/7j3W9C/M/Ln8zZ8+IW/6tVsrOT+Jlihg3OjVlGPXfm3UQA1mS8wPSSGAAAI9CsSuWVnBSHAe99omsvbQYWUENj5YowalkvEQz8nLgVFvppoaQMnDm2WHbGcWY491nP012yxBpy4PyJgtKI3dA9NmGRrBrvNYl3rOrpI+jugjgGW0tQ/3IftqMOKyXeROphAPWeXmLs73D90l33tgh1z01rfL2//D8VgQ6wSvL/7Wh+W1739X3vIvd8mbPr41d9ocWL9AngeU+lQsM4/LjFHa+svAGRFAAAGbQL4R2OBh3KRMaVOI/emjiSOwZ2TPbQdkdvqEBBNV1Zlp9hFYUWaxUGfVCNjilgJL31IeetjaE/VcTS0GqfYZwDpPLTbK7MpoHUA0xaLajJN6gwTC0ZfFrIFtULXUmZW//drT8u1bloenvOjNb/OC2LH3uf924bnT8uK/XekGr+6fBQvl0vv/RBaNv7/ObHKu3AIFbur+k+Zgzatz02YUITc0ByKAQJ0C4drU7Ads0bXsBcsaWG+EzZla7PzR+r4Jy+vCqajuCG2wftJborGY62YNrcA+2qqOlNozEa1ltS+RSxrQo56rrNQ+A1gncFXWR8V+tFVmnbSbIWCufWMEthn1Un8uXv6j++SlvVtiQez8qz/2Rl5ffikMXkd+a59c/Cs3159JzphToEgAq08ZZgOnnMQchgACAxTImEXoLosS2e6ukTWPNaeLmiOylmKlLMlQ9xCQpKB4gFLDc+peA9hIwDozKbVuVb3oXkk999+q+gxg4/PG80w76z/bpNAUAb2zWqTT25QSkI8yBWxB7Pyrr+rB69Z75eLrN5R5WtKqQCDPtZwpxBXAkyQCCNQikHyNMzeiMwJYW8CStabW/XxWNsZ2cFd2bb9MOSZ3UFQLVQtPYuwSPbFNju8dkwdju0kX7Lda6iXPvdIBDPvL1HMp7amPANar9NkN+qsS8lZkKbknkQELGBcINTfmlvIDzimnr0/g5aO/Jy/d829E5l/TT7pgoYz89n1y8Ud+s77McKbeBVI6UNp6H3UDJ23UovdT800EEECgPAF7kJLYX/VnEwbrV9V8uFNIf/ZBbSdb93MlgF3+JcsOx8518uBYfNdj9ZqpHpMS8Jbn0rWUim3iZF0nHbsv5twPiHouvbH1EcBKbDtq7wesvlan9PySYKMFCj7JanRZyFw/ArEgluC1H86BfTf5NTonwjVf2ppX3mE4sLrixAggkCJgBh7GK0/S7QpOIS7wikltFpsatDICW01z7uE1OtH7f+M7DasPLqLXysWzTj2XX539BbBOfoyXNbOJU/mV1J4UCWDbU1fV5/Tlh/fLS3s2uyca+Xe/Lxd/eF31J+UMpQvEpwmr74XVp9qxgVPp/CSIAAIlCejXMn0TpzzvA40CGSdDtimqyjtljVFc6+Y/llHZaGOo7E2mSmLpXDJ6OzDvZ8Y+Lln1mOdBA/VcSRvrP4CtJFskigACwyDwwy/eL/K6RQSvw1CZlAEBBBBAAAEEEGiAAAFsAyqBLCCAAAIIIIAAAggggAACCGQLEMBmG3EEAggggAACCCCAAAIIIIBAAwQIYBtQCWQBAQQQQAABBBBAAAEEEEAgW4AANtuIIxBAAAEEEEAAAQQQQAABBBogQADbgEogCwgggAACCCCAAAIIIIAAAtkCBLDZRhyBAAIIIIAAAggggAACCCDQAAEC2AZUAllAAAEEEEAAAQQQQAABBBDIFiCAzTbiCAQQQAABBBBAAAEEEEAAgQYIEMA2oBLIAgIIIIAAAggggAACCCCAQLYAAWy2EUcggAACCCCAAAIIIIAAAgg0QIAAtgGVQBYQQAABBBBAAAEEEEAAAQSyBQhgs404AgEEEEAAAQQQQAABBBBAoAECqQHszMxMA7JIFhBAAAEEEEAAAQQQQAABBIZdYHx8PLOIqQHshQsXMhPgAAQQQAABBBBAAAEEEEAAAQT6FVi0aFFmEgSwmUQcgAACCCCAAAIIIIAAAgggULUAAWzVwqSPAAIIIIAAAggggAACCCBQigABbCmMJIIAAggggAACCCCAAAIIIFC1AAFs1cKkjwACCCCAAAIIIIAAAgggUIoAAWwpjCSCAAIIIIAAAggggAACCCBQtQABbNXCpI8AAggggAACCCCAAAIIIFCKAAFsKYwkggACCCCAAAIIIIAAAgggULUAAWzVwqSPAAIIIIAAAggggAACCCBQigABbCmMJIIAAggggAACCCCAAAIIIFC1AAFs1cKkjwACCCCAAAIIIIAAAgggUIoAAWwpjCSCAAIIIIAAAggggAACCCBQtUDFAex5ObZ1ldx90lKMG/fL9CevqLp8pD9wAdrAwKuADCBQlcDpfTJxyxFL6mtk//St4l3hn5V9Ew/I6Bd2y6pL9EPPP7JVVk1dK8d2r5IRSb5WLP30Mdl9/UhVpSBdBBBAwBVwr0l3BZ3WpXK75brlUTnXtU1iu/pF1yv9mLTrmH4tNNNXr6ci4lx3n7qOPnRtbTZ/PcbbkFF3sTamf662P729OPfHXSKfit9Ha2No2IkqDmAtpXU7PHMpF4WGCZGd8gVoA+WbkiICgxBwtv3JqAAAIABJREFUfsuHRv0ANMqAdxMe9YPYYgHs3LppufUqtTBe52GOIHYQNcw5EeiMgH7d8gPFW0R5GJdOEb/ubZIjymDNs/dOyAOjlodx547J1o/eLSeX3h5eS9205ta7QarzvU0SDPo4gcxDMrY7eEDYmeoZUEG9B6tPTAb15t2P5D7zPuVnz+3fRm0m9mAi9XPlXilOm3hCrg0eoJzeJ1u/+Qke5CqtoOYAlo7IgH6BDTotbaBBlUFWEOhPICGA1Udd+w1g/VERvzPXX4b5NgIIIGATMAMV5xjv3+IP1Szf94PQ0SCwMQIV9xvuMXOyPpydEpxjl8yNixyZCWajiBu0BsGuGgTJI1tll9xBIFN6I064T1nqUX24oGfD1obUdDM+d4PWoH2ogbLz/4/LdVq7KR2gdQnWGsDGp0i0zosM9ylAG+gTkK8j0CQBAtgm1QZ5QQCBUgUyRtuUc+mjpP7orTk7xQ1glVE1fzqpE5DeIbuU5RT6Q7sobSGQKbV+1cTsAay1z2p7OOEmZWsvatB61jJ6a37uL7dRRmAnnuahha3aawxg818IKmufJDxgAdrAgCuA0yNQrkBCAOt2uGaC6XDJa8XczITT5hJGO8yRjXJLQGoIIICAVSD3A3dLYBoEM+rSB/e6+Dl1XW00snapth+Akx11TwBvnaRzDKOvVTXWlADWnP1jHUkPAtj4fg/RaLoTwKZ9PuKtb/b3lfDWwDrfYfR1sAFs4hOLqhoj6TZOgDbQuCohQwj0JcAmTn3x8WUEEGimgLeeVXLt15IY6AZrW/0irrlvv8gtUQDjBDaPL/fWUmYHy1GwK24g7CW6JmktZjNZG5arlE1GJXpoEKxFDjNfZQBrCDntwn1o8YFpb5209tC3YZw1Z6e2EdjY9IqaC8rpBi9AGxh8HZADBEoVSJxCrJ6l/zWwpeaZxBBAAIEUgSLBazBSGm3yk5KwGvgYOwlnBbBhsHupsk6SQYES23ETphAbO+077eWzInfsXiVnwzXRYmwqVSJBy5KqKYBl6mjL2kUF2aUNVIBKkggMVoAAdrD+nB0BBEoV8Kb5xl99kngS6/Rh+9FqkOoEJMEoqn605dxKIDOiXnMTRwJLJelIYg3YxMl4zVw0Qq8vr0nczbojNRUUs54AtsAPvGP+3SkubaA7dU1JuyNAANuduqakCAy5QOw1OnnKm3dDn4y1/GkjsOpUY20nY0Zg89RQzmOSZgrV+RodJavqQwtneyhGYGP1WE8Ay48s5w9oiA+jDQxx5VK0zgoQwHa26ik4AsMlkLzZnLeZzoh1nWrq1F9jDWyQjs0tMR3LNdYbJXZSUTeEGq7aaFZp9Lah1WPSa3buclerOquUY+8R9h6UJH9ufX2T2paUdws3y6ne3NQTwNZbJs6GAAIIIIAAAggggAACCCAwhAIEsENYqRQJAQQQQAABBBBAAAEEEBhGAQLYYaxVyoQAAggggAACCCCAAAIIDKEAAewQVipFQgABBBBAAAEEEEAAAQSGUYAAdhhrlTIhgAACCCCAAAIIIIAAAkMoQAA7hJVKkRBAAAEEEEAAAQQQQACBYRQggB3GWqVMCCCAAAIIIIAAAggggMAQChDADmGlUiQEEEAAAQQQQAABBBBAYBgFCGCHsVYpEwIIIIAAAggggAACCCAwhAIEsENYqRQJAQQQQAABBBBAAAEEEBhGAQLYYaxVyoQAAggggAACCCCAAAIIDKEAAewQVipFQgABBBBAAAEEEEAAAQSGUYAAdhhrlTIhgAACCCCAAAIIIIAAAkMo0HcAOzMzM4QsFAkBBBBAAAEEEEAAAQQQQKBpAuPj45lZWjA/Pz+feRQHIIAAAggggAACCCCAAAIIIDBgAQLYAVcAp0cAAQQQQAABBBBAAAEEEMgnQACbz4mjEEAAAQQQQAABBBBAAAEEBixAADvgCuD0CCCAAAIIIIAAAggggAAC+QQIYPM5cRQCCCCAAAIIIIAAAggggMCABQhgB1wBnB4BBBBAAAEEEEAAAQQQQCCfAAFsPieOQgABBBBAAAEEEEAAAQQQGLAAAeyAK4DTI4AAAggggAACCCCAAAII5BMggM3nxFEIIIAAAggggAACCCCAAAIDFiCAHXAFcHoEEEAAAQQQQAABBBBAAIF8AgSw+Zw4CgEEEEAAAQQQQAABBBBAYMACBLADrgBOjwACCCCAAAIIIIAAAgggkE+g7wD2/MObZcWOE/7Zlsm2R++R1ZfkOzlHDYnAM3tkyc2Hw8Is235c7rlhZEgKRzEQQEDkvBy9bYXMbjglW66u3uPM3iWy4ZBynoltcnzvauntqnJG9izZIHJ/nrzXW87qJTkDAggEAkX7q/p1aK0cPLVFrgw5vetK2PNZd1BO3RZ9KqJ/rveL1M+MdJ3+1JOTRlrUYZkCejsw6zU6k36cmgPlO1r/N62NUM9l1qGTVn8BrFtxs1HQ6v5djB952VkmvUYJnDsqm1fulLGwc1iks9iokpAZBBBIFKgvsHM7jaJ3Br2OZHJHo7yKq6+c5eWZlBBAIEvAC0bGov5pRn/VveY8Fz04c7//2KT/IM27Tuy8PLhOeX+f+lDw8N78u94vctOa2+gGqfr1zvnegzK2Vw2Us0rG54UEjHrX6zUrJa8eZ4NBGiMGMtOinrM8+/u8rwA2XvFO5R6QMUZh+6uVFn3b1tlsUfbJaskCP/iD/yhv+OCH5fU/9x5ryhdm/lz+5k+fkDf92q0ln5nkqhWIB3axUdJgBMLWMXQfdM3KRncEw+/8TUc5jkYnkh6Axf89aTTF+fcdMiljO3a6oyNr7z8ocnM0Auvk+8DoQZl8bIPsdPMQzBzS88VMkmpbFKkjUJ+AGVA6Z057WGW7Dqn924TrkR+UiuUaaAYzB0a9YFftR4t77drODLbKGoatHeSPW8yHGrH+r3ufm5JJPwby7jXUc1XV2VcA6/1IGYGtqnKany6jrc2vo/py+P1Dd8n3HtghF7317fL2/3A8FsQ6weuLv/Vhee3735W3/Mtd8qaPb60vc5ypTwG9s2feyL17wWFZ687ESOvcLTZGLsTrwO0QfyaPH0RKxpRhs4Oo/H2xlp5TbD0/QeDt5VVEv48xAttnQ+HrCLREoGD/RQtO0kdgraN65jUqNgIrsmfJlExq05RbQtmabNrq3BbUWgpkBKe2IucbgaWey2ou/QWwTi78KaTuKti+1imVVSTSqU8geHK1UWZXRmtBwo5hfRnhTAMW+NuvPS3fvmV5mIuL3vw2L4gde5/7bxeeOy0v/tuVbvDq/lmwUC69/09k0fj7B5xzTp9PICuwswSJ4TTgjO/GOgbG2jJ3FFVdv5re4bDPDNJHYPUpymp6Uuta33z2HIUAAmULFJs6KsZUXy836iwU9RqljraG+U6cheItjXAevDH6WnYtm+nZR1vVkdKkHKTONgzXwZr7AKmzeqjnsmu3rwDWvqZAGZEtO7ek1zCBoKOprE2LrYltWJbJTmUCL//RffLS3i2xIHb+1R97I68vvxQGryO/tU8u/pWbK8sLCZctYA9CzU0u9FFNfz8EreMW5UufgpywAaD6gFSC60z6yEmeADaY1hXkJuqceCPEdW1WVXYtkR4CCGQL6LM+so+Pr8E31kIGyyL8NbHZAawtsPJGX0XZwI7BgOy6KXZErwFs3tH6rOOcz6nnYnWWfHQfAaz9KThrIsuqmjakk3wxMDdhaUNpyGP/ArYgdv7VV/Xgdeu9cvH1G/o/GSnUKKAHsFHgmhRURjfym56PNixxMhwGrsGMnRxTs4L1at4mKS+k7ipMAFtjs+BUCLRMoP/gNVh2YGxYqlzHln9J3fDJB0rZNMq5Jk5dc0q2XKbsFcCmqH22LGMmj3u/GZMHYzvS55hCXKAu0mIg6rnPKjW+TgBbrmfHUrOPyvAQo2PNwCjuy0d/T16659+IzL+mf7JgoYz89n1y8Ud+s9tArSi9+XBK/a3bfvfxJ8/edWCbbHtupzKiaXnopQaw30reyd4cJY12/NRB8wSwTCFuRSMkkwiUKlBsN/OU9fiJG9X5G/hYrmPWUVmndM71706R7c5rwpx0D455Ox0nzFwpFaRzifW2iZO9T1twEI96Lr219RHABptvmNuSM4W49FpqcoLmhZwpxE2urdryFgtiCV5rsy/nRMbN2bKBifnKCGdHX23Km3VdkBnoBk/JjZ2AzU2czFFa63XH6zzGRz9smzgpU5a1tLLW+pajSyoIIFCvQGzJW8bpYxvVacenTyHWZ4w4b69Onloajso5G8qpQWuBUb96JVt+tsKv0UkZobVuJmiPgajn8ttNXwGsk53ENVDl55UUmyqgvcjZ3HClqZkmX1ULvPzwfnlpz2b3NCP/7vfl4g+vq/qUpF+mgLb+1Phdxz47LmMH1fciOhnxg1Nzcz/teuEEkt4mcOG79YzNUbwixd8Bm3TvyTcCu1bWHjrsvmYneo2Od6Yw3eC1QGWakhYCCAxAIL4xXJCJ4HVZ2nXDuL6pGY4e0tmmqK4WJ1z1/uifW1/LpY64Bt8K18Am7AswAL1hO6V+71DvLUkjtNEmgKZF0uvctOOo50qaUN8BbCW5IlEEEBgKgR9+8X6R1y0ieB2K2hyOQrDEYTjqkVIggAACCHRXgAC2u3VPyRFAAIHOCRDAdq7KKTACCCCAwJAJEMAOWYVSHAQQQACBZAECWFoHAggggAAC7RYggG13/ZF7BBBAAAEEEEAAAQQQQKAzAgSwnalqCooAAggggAACCCCAAAIItFuAALbd9UfuEUAAAQQQQAABBBBAAIHOCBDAdqaqKSgCCCCAAAIIIIAAAggg0G4BAth21x+5RwABBBBAAAEEEEAAAQQ6I0AA25mqpqAIIIAAAggggAACCCCAQLsFCGDbXX/kHgEEEEAAAQQQQAABBBDojAABbGeqmoIigAACCCCAAAIIIIAAAu0WIIBtd/2RewQQQAABBBBAAAEEEECgMwIEsJ2pagqKAAIIIIAAAggggAACCLRbIDWAnZmZaXfpyD0CCCCAAAIIIIAAAggggEArBMbHxzPzmRrAXrhwITMBDkAAAQQQQAABBBBAAAEEEECgX4FFixZlJkEAm0nEAQgggAACCCCAAAIIIIAAAlULEMBWLUz6CCCAAAIIIIAAAggggAACpQgQwJbCSCIIIIAAAggggAACCCCAAAJVCxDAVi1M+ggggAACCCCAAAIIIIAAAqUIEMCWwkgiCCCAAAIIIIAAAggggAACVQsQwFYtTPoIIIAAAggggAACCCCAAAKlCBDAlsJIIggggAACCCCAAAIIIIAAAlULEMBWLUz6CCCAAAIIIIAAAggggAACpQgQwJbCSCIIIIAAAggggAACCCCAAAJVCxDAVi1M+ggggAACCCCAAAIIIIAAAqUIEMCWwkgiCCDQq8APL/xAXp1/VX76J97SaxJ8DwEEEEAAAQQQQKAjArUEsOcf2Sqr7jrpk66R/dO3yhUdAaaYCCCQLOAEr//5K78jr82/Juve90mC2DY2lnPHZOtH75bgCu8UYc1903LrVWZhnpV9E5vkiPLPSz99THZfP6L8i3PMAzL6hd2y6pI2YpBnBBBos4DeX10qt2dci9L7t+fl2NZVcrd/cYxd74xrp/65er00+s2n98nEU9fJ9CfpSdfS1lLrKZ6D/DGPV8ei3C/V7+rtwWlLu0Q+xb0xEK88gPUqQ6KLgNsQ5mQ9QWwtvztOgkBTBYLg9fxff8fN4lt+coQgtqmVlZQv93r+hFyrdvL8m72owanT4brliBHY+h20pbfLsd2rxAtjCWDb1gTILwLDIuD1V0ejQRb3uiXJgy7G5+73p671r2d+8Dq+3w80zWDF+/tceJ3UP3fTmlvvfvfZeydkkwTpOOk+JGO7GQiqpd3597PRMMiMB51aPlLbhJ5jt14/pz7wVe5/YtxbT++Trd/8hPHAtxaBxp6k4gDW+wE/Mak/ZXcq7YFR88l7Y43IGAIIlCygBq8XLXydLJAF8uPXXiGILdm56uT0Dlt0Nv3f0274tk4dI7BV1xvpI4CAKWDrr3r/NrfONqPEdnxKAOI8nlMDUcvDP7VvrP6/ej2VR7bKLrmDQKb0Bmx/eGq7x6kPF/RsZLQJdVaRO4ousuZzR6IRWG2AT703Ov//uFzHwJ/GXUsAa/749adJpbdCEkQAgQYLvHzh+/Kfn/0deelvviuvW/h6+fVfWi8XLbxIPv+1A/LKqxfkzT/xVll3xSfd//Kn4QLWkVUjz84xh0aVUVbjlq+NWjAC2/AaJ3sIdEigyMM3h8U+aOOBlTECKwQylbW+/Pee5BjG1l6SglonIL1OHtemENsfgEw8zUMLW7VXHMCKxKZkBHPJbwymQ1TWGkkYAQQaJmALXn/+ze+WeZmXv/zBcwSxDauvPNnR1/uIiDYl2L8H+FPhrOlpU67ydyLy5I1jEEAAgV4FkmaYRAFpfLZIfIahsg421u9V18ia623Vz7w1sJcy+tprVeb4Xs57j23ZTJi6PQ2zTTjtyhtFPxtbAyv+Q2EnSW8NrHMMo68DCWDd507+PG83A0tvl/2TT8imtA5NjqbGIQgg0D6BQ1/5XZn7/jfckdffePcGGf/pX5Kjzz0kr7z2inzsF9fJ8z/4Cznytfvdkdh3vWlM1l9xW/sK2eEcq9f6YAOK5OlWPhQBbIdbDEVHoJkCsf1bYtnMF6yoX9MC4oS1ldGaWPOE0TRSUfrU9g3zmmnavFzpm2zp+bNsOGvb30H7Uo424aTxWZE73H0fMtbTOmP6QbD7gelos0TjIXHzXOvJUeUjsLZisAa2nsptxlmMnUf54TWjWgaUi//3N+floa/+vnx47Fdl7Kd/0Q1e//w7X3Zz856Rq8Ig9ot/8V9kzXs2ycgb3jagnHLavgTUoJQpxH1R8mUEEKhXIDt4dfKTd7qokndl9M6ZFhpt+GR7mKeX2ek3P758Wm69VNkINWuTqXrZWn62jBHYzOA1T5sQYyfhjABWCXbPhnsHOWnE9xZqOX5P2R9AAJv9xKGnkvAlBBBohYDzyhznjxq8BhkPgljn7wsXLGxFebqbyZT1Xto0K/urArwpVObNOOc0ru6iU3IEEKhQwJtFkud1jxkb9py17GDcawCrjtqpDwR5q0eJLSHl3pNnrwc3J3k29tJfORcUIP5KOW/2qvvQ4ip9MzEGAT21ygNYcw2Be3GYUV+bUGL7IykEEGi8gBPAfuEbh+XZ7/6Zm9d/eOk17pTiEy/8sfv3d49cKR/7hZvE2Z2YPw0XSLixxza5iB2nTN3iNToNr2Syh0A3BGJ7tmQVO8drdKK3cBiv1SkwhTgKZEREDVoZgc2qoQKfJwSwsXrKSLLAa3Tso/h++tpUYy+Y9d7ewghsUAOVB7DOibQ1sJLnyVaBNsehCCDQGgFb8Lpi7J+6+f/jv/wiQWxralLJqPGSd+cT29Pk4GZ9xFbGMIg1lhyEx5obnLQRijwjgEBzBZKuPdH1LPGVKned9Itl9m+NNM1NnMxrp21zU8sSjKhPzXWx6vakxy/K2YJ7luUhgr6xYVrMkzQj1fL6JrWtsAmuWxG1BLBVNzDSRwCBdgj80TcOh2teP3jZtfJPRldrGZ96/hF56puPuf/mTCf+Z7/0m+0oGLnsS+D8I8fk7PWr5Iq+UuHLCCCAAAIIINAFAQLYLtQyZUSgIQJfPX9a/vDrh+QfXHpNLHgNsugEsc504o9efqO8/21/vyE5JxsIIIAAAggggAACTRAggG1CLZAHBDok8OKPviVvf+NlqSXOc0yHyCgqAggggAACCCCAgC9AAEtTQAABBBBAAAEEEEAAAQQQaIUAAWwrqolMIoAAAggggAACCCCAAAIIEMDSBhBAAAEEEEAAAQQQQAABBFohQADbimoikwgggAACCCCAAAIIIIAAAgSwtAEEEEAAAQQQQAABBBBAAIFWCBDAtqKayCQCCCCAAAIIIIAAAggggAABLG0AAQQQQAABBBBAAAEEEECgFQIEsK2oJjKJAAIIIIAAAggggAACCCBAAEsbQAABBBBAAAEEEEAAAQQQaIUAAWwrqolMIoAAAggggAACCCCAAAII9B3AzszMoIgAAggggAACCCCAAAIIIIBA5QLj4+OZ51gwPz8/n3kUByCAAAIIIIAAAggggAACCCAwYAEC2AFXAKdHAAEEEEAAAQQQQAABBBDIJ0AAm8+JoxBAAAEEEEAAAQQQQAABBAYsQAA74Arg9AgggAACCCCAAAIIIIAAAvkECGDzOXEUAggggAACCCCAAAIIIIDAgAUIYAdcAZweAQQQQAABBBBAAAEEEEAgnwABbD4njkIAAQQQQAABBBBAAAEEEBiwAAHsgCuA0yOAAAIIIIAAAggggAACCOQTIIDN58RRCCCAAAIIIIAAAggggAACAxYggB1wBXB6BBBAAAEEEEAAAQQQQACBfAIEsPmcOAoBBBBAAAEEEEAAAQQQQGDAAgSwA64ATo/AMAu8/Lffl1fnX5U3/+Rbh7mYlA0BBBBAAAEEEECgJoHyAthn9siSg2NyfO9qGVEyf/7hzbJixwn/X9bKwVNb5MqaCsdpahbI1QZE1t5/SrZcXXPeOF3tAk7weuD0Hnlt/jXZcNVmgtjaa6CEE547KptX7pTgCu6k2Nvv94zsWbJBJPjtO9eKmw+7GVy2/fMy+djHZXYD14USaowkEEAgSyChr6J/7bwcvW2F7JxW/1Xtwxqfrzsop25Te7feNc+7yjnXueNyzw1B71j9zOgXO3l7ctJIK6tAfF5EoLe4xKmzAzL26D2y+hLnbLb24ecibAvUc5F6KXpsOQFs0BmZ2KYHsO6/Sxi0uo3msclYkFs00xzfQIHUNjAr24IfvdshnpLJ8CLQwLKQpb4FguD1u391zk3rrW/4GYLYvlVrTsD2W/UDWtE6Y8XzdWbvEjkwGnTovI4AAWxxR76BAAIFBZL6KmYyzrXuTpHtxqBMcJhzDdsgQdDqXcOmPqRf06K/6w/w3L7w3EY3SI2n86CM7WWgp2Ct5j+8p7gkCESXRX1Z2xndtKP+LvWcv1p6ObLPADaq1LXrRA4/pwan5g/ayZ75BKOXLPOdZgkUbQPNyj25KV9ADV4vWvg6WSAL5MevvUIQWz51pSkmPXCM/n1MHlRHVZ0rvNapE5GwExgce1zGDqqjGh+T9RN/KA/4oxz6KEWlxSNxBBDolEBaX8UCkTYSanu4p47qGkGSk7oZzAQP8NTrrDy8WXbIdmWktlMVVENhi8cl7j3tkMiydWtFDs2mDL547WtWebirPqilnsuv3r4D2KMPL5bVN4x4P05tdNWYMubm3dZ4yi8UKdYpcEYS2wCjrXVWRCPO9YO//Z4ceGaPnP/r78jrFr5ePvG+fyEXLbxIDj/7+/LKqxfkLT85Ihuu3uz+lz8NF/BHKtKmDOsjqX4HUZmJ49wXvA7ZC9oUYkZgG173ZA+BoRNI6atYyupeux4TOTFtWQJnCVDdh3X+7LLlX7LMNlS+s9g6AiuyZ8mUTLLMrsKWVzwuOfPwUVl8w2oZyejP2h742kdgqeeyKrjPADbKhj2AVeeLe8fqHZeyikE6TRCItQH3Bz8rGx8dkwPhOrqMKRhNKAh56EnAFrz+wlvfK/MyL7Pf+zpBbE+qg/2SvlZIRGzLRIK9D9zR1lkZk1kZ+4yzTsh5YLlDxP1/veNAADvYeuXsCHRZIM9yNnfk7bloWZx3LRzzlsRZ19BGMwzdANafIhw6B/0hN0BV1096a2CdoJbR16pbpX0WaK64JDWAtQXGTlmo5yprlAC2St2OpW0PYHfKCbXTa6wR6BjRUBf34Om9MvP//q878nrjFZvk8re8R/7wa4fklddekd947waZ+9435MFnf88dif3Znx6XTX9361B7DFvhgqlUTrnCqb5KpyzogG2cWyFT15ySLZepa8gIYIetPVAeBNoqkCeAjZdNmUH4sw9aNi0tEsCaqTvf9UZfxZ+y6hzR24Z5ba2VOvJdUQBrG5G3Fod6LrOWKw5glV0n3VwzhbjMymtaWokjsNqUGNpA0+qtrPy89NfflUN/fq9cf/k/k59/y7vd4PX0i0+7yb/vbX83DGKPfv2I3PT+fy0/81PuVn78aZuAdrOONmCafHKJF7iKv4vmNVOy+fmb/PVcBLBtq2byi8CwCvQWwCozCJ0AVtmg1HUqMIXYfBOH83AwfOjnzFoLRnnNcwxrhVRSLn0XaG/2UHzfhtxxScoIbGzvh4TyUM/lVnSFAWzxxdLlFo3U6hbIN42cALbueqnzfM4rc5w/avAanD8IYp2/L1ywsM5sca7CAim/U+NG7q1znZSxHbPe+i1/46bJy6dEPh68coAAtnAV8AUEEKhEIDuATV4r6e6W7swuMd+mUGATJ61Q6m7HahralONKGDqYaB9xSWIAmzR92OClnktvbxUGsCLS03bVpZeRBGsSSFzErm7uxRTimmpjMKdxAtj/9tX/JGfOfdnNwMQ7r3OnFD/5/H93//7et10tv/Ge9eLsTsyfhgskbOIUe9ocey1FfDMnbwf6aEYOa2AbXvdkD4EhFsgOYP0d1c01sEpfpp/X6Ki04ajc1cEoLiOwlTa9XuOSpAA252al1HP5tVptABtsHb7Dsotb+WUhxQELpL52I2wDbOI04Gqq7PS24HXl5b/mnu+/zxwliK1MvsKE/fe+Bldw50zxV93YXx8QvSPR+VZaAOu/YsK5RoQvgK+wTCSNAAKdFsj1sD14LdihgMrbbCma/qtu0COWa5c+hdX6ijDLZlDRXgP0lapqpPrmhGq95p95FOYtz/pX6rmSqiwtgK0kdySKAAKtEfivX/1P4ZrXZe/6ZfnIz/+qlvf/Mfuw/M+/PO7+mzOdeM37bm5N2cgoAggggAACCCCAQDMECGCbUQ/kAoHWC3zlO38pS8boAAABQklEQVQmf/B/DsrSd14XC16DwjlBrDOd+Nfe/c/lqrd/oPVlpgAIIIAAAggggAAC9QoQwNbrzdkQGGqBb//wBXnHxYtTy5jnmKFGonAIIIAAAggggAACPQsQwPZMxxcRQAABBBBAAAEEEEAAAQTqFCCArVObcyGAAAIIIIAAAggggAACCPQsQADbMx1fRAABBBBAAAEEEEAAAQQQqFOAALZObc6FAAIIIIAAAggggAACCCDQswABbM90fBEBBBBAAAEEEEAAAQQQQKBOAQLYOrU5FwIIIIAAAggggAACCCCAQM8CBLA90/FFBBBAAAEEEEAAAQQQQACBOgUIYOvU5lwIIIAAAggggAACCCCAAAI9CxDA9kzHFxFAAAEEEEAAAQQQQAABBOoUIICtU5tzIYAAAggggAACCCCAAAII9Czw/wE1JbOSBirmvQAAAABJRU5ErkJggg==)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "PYPL PopularitY of Programming Language - http://pypl.github.io/PYPL.html\n",
    "\n",
    "![](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Гoловний ресурс для навчання це: https://www.python.org/\n",
    "\n",
    "Посилання на завантаження: https://www.python.org/downloads/ \n",
    "\n",
    "На даний час актуальна версія 3.7.0\n",
    "\n",
    "Якщо у вас Linux, то команнда для терміналу має такий вигляд: 'sudo apt install python'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Але, оскільки для зручності нашої роботи та навчання є спеціальна програма, то пропоную її завантажити та інсталювати. \n",
    "\n",
    "Вона має назву Anaconda. Ось посилання на завантаження -  https://www.anaconda.com/download/\n",
    "\n",
    "- Потрібно обирати актуальну версію для Пайтона 3.7.\n",
    "- Під час інсталяції погоджуйтеся на всі умови.\n",
    "\n",
    "\n",
    "Взагалі потрібності завантажувати окремо Пайтон я не бачу,оскільки він є частиною Anaconda."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Що ж таке Anaconda?\n",
    "![](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Це дистрибутив для мов програмування Python та R з відкритим кодом для обробки даних великого об'єму, побудови аналітичних прогнозів і наукових обчислень.\n",
    "\n",
    "Програмне забезпечення, яке ми будемо з вами використовувати це Jupyter Notebook.\n",
    "Його можна запустити ,написавши \"jupyter notebook\" в cmd(windows) , або terminal(Mac OS, Linux)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- https://metanit.com/python/tutorial/1.1.php  - Введение в Python. Язык программирования Python\n",
    "- http://mit.spbau.ru/files/Python.pdf  - Введение в Python\n",
    "- https://younglinux.info/python.php - Python. Введение в программирование\n",
    "- https://www.coursera.org/specializations/python - Специализация Python for Everybody (Курс)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "  І нарешті давайте разом напишемо ПЕРШУ ПРОГРАМУ НА ЦІЙ НЕПЕРЕВЕРШЕНІЙ МОВІ.\n",
    "\n",
    "# Програма Hello World\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello world\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Вітаю, тепер ви -  ПРОГРАМІСТ.\n",
    "![](https://spzone-simpleprogrammer.netdna-ssl.com/wp-content/uploads/2013/03/programmer.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "тел. +380989304741\n",
    "\n",
    "\n",
    "e-mail. shilo03975@gmail.com\n",
    "\n",
    "\n",
    "telegram. @maksym_shylo"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}