Program9-10Lesson8-11LOGO-Время зацикливаться.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: mobilechelonian in c:\\users\\ilya\\anaconda3\\lib\\site-packages (0.5)\n",
      "Requirement already satisfied: ipywidgets>=7.0.0 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from mobilechelonian) (7.2.1)\n",
      "Requirement already satisfied: IPython in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from mobilechelonian) (6.4.0)\n",
      "Requirement already satisfied: ipykernel>=4.5.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipywidgets>=7.0.0->mobilechelonian) (4.8.2)\n",
      "Requirement already satisfied: traitlets>=4.3.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipywidgets>=7.0.0->mobilechelonian) (4.3.2)\n",
      "Requirement already satisfied: nbformat>=4.2.0 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipywidgets>=7.0.0->mobilechelonian) (4.4.0)\n",
      "Requirement already satisfied: widgetsnbextension~=3.2.0 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipywidgets>=7.0.0->mobilechelonian) (3.2.1)\n",
      "Requirement already satisfied: colorama; sys_platform == \"win32\" in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (0.3.9)\n",
      "Requirement already satisfied: simplegeneric>0.8 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (0.8.1)\n",
      "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.15 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (1.0.15)\n",
      "Requirement already satisfied: setuptools>=18.5 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (39.1.0)\n",
      "Requirement already satisfied: pygments in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (2.2.0)\n",
      "Requirement already satisfied: decorator in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (4.3.0)\n",
      "Requirement already satisfied: backcall in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (0.1.0)\n",
      "Requirement already satisfied: jedi>=0.10 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (0.12.0)\n",
      "Requirement already satisfied: pickleshare in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from IPython->mobilechelonian) (0.7.4)\n",
      "Requirement already satisfied: jupyter_client in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->mobilechelonian) (5.2.3)\n",
      "Requirement already satisfied: tornado>=4.0 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->mobilechelonian) (5.0.2)\n",
      "Requirement already satisfied: ipython_genutils in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from traitlets>=4.3.1->ipywidgets>=7.0.0->mobilechelonian) (0.2.0)\n",
      "Requirement already satisfied: six in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from traitlets>=4.3.1->ipywidgets>=7.0.0->mobilechelonian) (1.11.0)\n",
      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbformat>=4.2.0->ipywidgets>=7.0.0->mobilechelonian) (2.6.0)\n",
      "Requirement already satisfied: jupyter_core in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbformat>=4.2.0->ipywidgets>=7.0.0->mobilechelonian) (4.4.0)\n",
      "Requirement already satisfied: notebook>=4.4.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (5.5.0)\n",
      "Requirement already satisfied: wcwidth in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from prompt-toolkit<2.0.0,>=1.0.15->IPython->mobilechelonian) (0.1.7)\n",
      "Requirement already satisfied: parso>=0.2.0 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from jedi>=0.10->IPython->mobilechelonian) (0.2.0)\n",
      "Requirement already satisfied: pyzmq>=13 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from jupyter_client->ipykernel>=4.5.1->ipywidgets>=7.0.0->mobilechelonian) (17.0.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from jupyter_client->ipykernel>=4.5.1->ipywidgets>=7.0.0->mobilechelonian) (2.7.3)\n",
      "Requirement already satisfied: nbconvert in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (5.3.1)\n",
      "Requirement already satisfied: Send2Trash in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (1.5.0)\n",
      "Requirement already satisfied: terminado>=0.8.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (0.8.1)\n",
      "Requirement already satisfied: jinja2 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (2.10)\n",
      "Requirement already satisfied: mistune>=0.7.4 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (0.8.3)\n",
      "Requirement already satisfied: entrypoints>=0.2.2 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (0.2.3)\n",
      "Requirement already satisfied: bleach in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (2.1.3)\n",
      "Requirement already satisfied: pandocfilters>=1.4.1 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (1.4.2)\n",
      "Requirement already satisfied: testpath in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (0.3.1)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (1.0)\n",
      "Requirement already satisfied: html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (1.0.1)\n",
      "Requirement already satisfied: webencodings in c:\\users\\ilya\\anaconda3\\lib\\site-packages (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.2.0->ipywidgets>=7.0.0->mobilechelonian) (0.5.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install mobilechelonian"
   ]
  },
  {
   "attachments": {
    "2018-10-08_135226.jpg": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Урок 8\n",
    "Пришло время научиться зацикливаться!ыСегодня на уроке мы на некоторое время забудем про переменные и ввод данных и научися писать циклы и не просто циклы, а циклы, вложенные друг в друга!\n",
    "Для начала посмотрите на Эту картинку. \n",
    "![2018-10-08_135226.jpg](attachment:2018-10-08_135226.jpg)\n",
    "Из каких фигур состоит эта картинка?\n",
    "Ромбы это фигура у которой все стороны равны, а углы не равны. \n",
    "Явсятся ли квадрат ромбом?\n",
    "Какие углы у ромба на картинке?\n",
    "Рисуем ромб.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1eadb1e6cec048288fc683a5e3817c9c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "t.forward(50)\n",
    "t.right(45)\n",
    "t.forward(50)\n",
    "t.right(135)\n",
    "t.forward(50)\n",
    "t.right(45)\n",
    "t.forward(50)\n",
    "t.right(135)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сколько раз и какие команды повторяются? Попробуем написать цикл.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "68bb3a45ddf2437b8770e416ea1bb430",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for i in range (2):\n",
    "    t.forward(100)\n",
    "    t.right(45)\n",
    "    t.forward(100)\n",
    "    t.right(135)\n",
    "      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Наша программа рисует один ромб, но наша фигура состоит из 8 ромбов. Давайте поробуем нарисовать два. \n",
    "На какой угол должна повернуть черепашка? Найдите строчку, в которой черепашка поворачивает после первого ромба и попробуйте побобрать нужный угол. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dc2daa074996468680df6592025d6161",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for i in range (2):\n",
    "    t.forward(100)\n",
    "    t.right(45)\n",
    "    t.forward(100)\n",
    "    t.right(135)\n",
    "     \n",
    "t.right(45)\n",
    "for j in range (2):\n",
    "    t.forward(100)\n",
    "    t.right(45)\n",
    "    t.forward(100)\n",
    "    t.right(135)\n",
    "         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Когда угол подобран и два ромба нарисованы правильно, пришла пора объединить рисование двух ромбов циклом. У нас плучится влоденный друг в друга цикл.\n",
    "Будьте внимательны с отступами! Отступы нужны после каждого цикла. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3bcc20a553094abeb8a7f0b8db2e8a45",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for i in range (8):\n",
    "    for i in range (2):\n",
    "        t.forward(100)\n",
    "        t.right(45)\n",
    "        t.forward(100)\n",
    "        t.right(135)\n",
    "    t.right(45)"
   ]
  },
  {
   "attachments": {
    "2018-10-08_135320.jpg": {
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"
    },
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Урок 9 \n",
    "Поэкспериментируйте! Изменив или добавив одну-две строчки в этом коде можно получить вот такие картинки!\n",
    "Попробуйте! У вас могут получиться очень интересные картинки!\n",
    "![2018-10-08_135320.jpg](attachment:2018-10-08_135320.jpg)\n",
    "![2018-10-08_135409.jpg](attachment:2018-10-08_135409.jpg)\n",
    "![2018-10-08_135457.jpg](attachment:2018-10-08_135457.jpg)\n",
    "![2018-10-08_135624.jpg](attachment:2018-10-08_135624.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "2018-10-09_220208.jpg": {
     "image/jpeg": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Урок 10\n",
    "Получилось? Тогда попробуем нарисовать следующую картинку. \n",
    "![2018-10-09_220208.jpg](attachment:2018-10-09_220208.jpg)\n",
    "Для начала разобьем ее на элементы.\n",
    "Это равносторонние треугольники. \n",
    "Нарисуем один и попробуем срезу нарисовать, используюя цикл. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "46a7be59df3f407cb05476c52e809c52",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for i in range (3):\n",
    "    t.forward (100)\n",
    "    t.right (120)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Теперь нарисуем второй и подберем угол. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6a7aac8ad57c4f669da61f95113ac690",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for i in range (3):\n",
    "    t.forward (100)\n",
    "    t.right (120)\n",
    "t.right(40)    \n",
    "for i in range (3):\n",
    "    t.forward (100)\n",
    "    t.right (120)    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Мы нарисовали два треугольника и пришла пора объединить их рисование циклом. Обратите внимание, что при использовании вложенных циклов нужно использовать в каждом цикле свою переменную. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b08053a91a44473cb61d6e88c773d9dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Turtle()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "for j in range (9):\n",
    "    for i in range (3):\n",
    "        t.forward (100)\n",
    "        t.right (120)\n",
    "    t.right(40)"
   ]
  },
  {
   "attachments": {
    "2018-10-10_233658.jpg": {
     "image/jpeg": 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"
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"
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"
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"
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"
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Урок 11.\n",
    "Поэксперементируйте!\n",
    "Поставьте разный угол поворота черепашки после рисования треугольника и измените количество трегольников  и попробуйте получить такие картинки.\n",
    "![2018-10-10_233658.jpg](attachment:2018-10-10_233658.jpg)![2018-10-10_233842.jpg](attachment:2018-10-10_233842.jpg)\n",
    "![2018-10-10_233952.jpg](attachment:2018-10-10_233952.jpg)\n",
    "А теперь не только поворачивайте черепашку, но и двигайте ее вперед. Получатся ли у вас такие картинки?\n",
    "![2018-10-10_234251.jpg](attachment:2018-10-10_234251.jpg) ![2018-10-10_234341.jpg](attachment:2018-10-10_234341.jpg)\n",
    "![2018-10-10_234431.jpg](attachment:2018-10-10_234431.jpg) ![2018-10-10_234554.jpg](attachment:2018-10-10_234554.jpg)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Изменяя углы и смещения попробуйте предположить,  какой рисунок у вас получится!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mobilechelonian import Turtle\n",
    "t=Turtle()\n",
    "t.speed(5)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "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
}