Manuscript

docs/index.mdx

@@ -18,4 +18,4 @@ Python やアルゴリズムについて簡単にまとめていこうかなと
 
 誤植や要望などがありましたら、どんな些細なことでも気軽に連絡してください。
 
-特に誤植などは見つけたら、ぜひ教えてください。(その場ですぐに直せるので)
+特に誤植などは見つけたら、ぜひ教えてください。(その場ですぐに直せるようにしたので)

docs/python/get-started/_samples/comment.ipynb

@@ -14,7 +14,8 @@
     }
    ],
    "source": [
-    "# この部分はコメントです。\n",
+    "# この部分はコメントです。次の行も実行されません。\n",
+    "# print(\"Hello World!\") \n",
     "print(\"Hello World!\") # この部分もコメントです。"
    ]
   }

docs/python/get-started/_samples/div.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "4/2"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/_samples/exp.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2**3"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/_samples/multi.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2*2"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/_samples/quotient.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "5//2"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/_samples/remainder.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "5%2"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/_samples/sub.ipynb

@@ -0,0 +1,51 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2-1"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "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": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/python/get-started/index.mdx

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 1
+sidebar_position: 2
 ---
 
 import ViewSource from "@site/src/components/ViewSource/ViewSource";
@@ -41,17 +41,21 @@ Google Colaboratory 以外で実行するときなど上のようなプログラ
 
 Python では様々な計算ができます。
 
-| 演算子 | 説明   | 例         |
-| ------ | ------ | ---------- |
-| `+`    | 足す   | `1+1` =>2  |
-| `-`    | 引く   | `2-1` =>1  |
-| `*`    | 掛ける | `2*2` =>4  |
-| `/`    | 割る   | `4/2` =>2  |
-| `**`   | べき乗 | `2**3` =>8 |
-| `//`   | 商     | `5//2` =>2 |
-| `%`    | 余り   | `5%2` =>1  |
-
-`(`、`)` を用いて、複雑な計算もできます。
+| 演算子 | 説明   | 例                                             |
+| ------ | ------ | ---------------------------------------------- |
+| `+`    | 足す   | <ViewSource path="_samples/sum.ipynb" />       |
+| `-`    | 引く   | <ViewSource path="_samples/sub.ipynb" />       |
+| `*`    | 掛ける | <ViewSource path="_samples/multi.ipynb" />     |
+| `/`    | 割る   | <ViewSource path="_samples/div.ipynb" />       |
+| `**`   | べき乗 | <ViewSource path="_samples/exp.ipynb" />       |
+| `//`   | 商     | <ViewSource path="_samples/quotient.ipynb" />  |
+| `%`    | 余り   | <ViewSource path="_samples/remainder.ipynb" /> |
+
+括弧`(`、`)` を用いて、複雑な計算もできます。
 黄金比 $\frac{1+\sqrt{5}}{2}$ を計算してみましょう。
 
 <ViewSource path="_samples/golden-ratio.ipynb" />
+
+:::note
+平方根は 0.5 乗とします。
+:::

docs/python/google-colaboratory/index.mdx

@@ -0,0 +1,21 @@
+---
+sidebar_position: 1
+---
+
+# 環境構築（Google Colaboratory）
+
+Google アカウントを用意してログインしておいてください。
+
+ログインした状態でウェブブラウザで [https://colab.research.google.com/](https://colab.research.google.com/) にアクセスすると、次のような画面が表示されるはずです。
+
+`ノートブックを新規作成` をクリックします。
+
+![Google Colaboratory へようこそ](./getting-started.jpg)
+
+新しいファイルが開いたら、コードを書くことができます。
+
+![新規ファイル](./new-file.jpg)
+
+セルの中に `print("Hello World!")` のように書いて、`Ctrlキー` と `Enterキー` を同時に押すと、実行させることができます。
+
+![実行後](./run.jpg)