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chvmvd merged 3 commits into from
Nov 6, 2022
Merged

Manuscript #59

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a0b11f9
多次元配列の項を執筆
chvmvd Nov 6, 2022
c30d8e3
条件分岐の項を執筆
chvmvd Nov 6, 2022
9adc32d
校閲
chvmvd Nov 6, 2022
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2 changes: 1 addition & 1 deletion docs/extras/1vscode/index.mdx
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Expand Up @@ -22,7 +22,7 @@ Visual Studio Code は、Microsoft が開発しているフリーかつオープ
<video src={installVscode} controls width="100%" />
</TabItem>
<TabItem value="mac" label="macOS">
macOSでも、Windowsと同じようにすればできます。macOSを持っていないので、動画を撮れませんでした…。申し訳ありません。
macOSでも、Windowsと同じようにすればできます。macOSを持っていないので、動画は撮れませんでした…。申し訳ありません。
</TabItem>
{/* <TabItem value="ubuntu" label="Ubuntu"></TabItem> */}
</Tabs>
16 changes: 8 additions & 8 deletions docs/extras/2wsl/index.mdx
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Expand Up @@ -12,7 +12,7 @@ import openTerminal from "./open_terminal.mov";

macOS は、Linux という OS と源流を同じくするので、プログラミングの開発環境を整えるのは簡単です。

しかし、多くの場合、プログラミングの開発環境を Windows にインストールするのはとても難しく大変です。そこで、プログラミング環境を簡単にインストールできるように Linux という OS を Windows 上で動かす必要が出てきます。
しかし、Windows は、多くの場合プログラミングの開発環境をインストールするのはとても難しく大変です。そこで、プログラミング環境を簡単にインストールできるように Linux という OS を Windows 上で動かす必要が出てきます。

昔は、Windows 上に Linux の環境を作ることはとても難しかったのですが、最近 Microsoft が Windows 上で簡単に Linux 環境を構築できる WSL という機能を開発して非常に簡単になりました。

Expand All @@ -21,14 +21,14 @@ macOS は、Linux という OS と源流を同じくするので、プログラ
詳しくは、下記の動画を参考にしてください。
簡単な流れを説明します。

- コマンドプロンプトを `管理者として実行` する。
- コマンドプロンプトを `管理者として実行` します。

- コマンドプロンプト上で `wsl --install` を入力して `Enterキー` を押す。
- コマンドプロンプト上で `wsl --install` と入力して `Enterキー` を押します。

- 完了したら、コンピューターを再起動する。
- 完了したら、コンピューターを再起動します。

- しばらく待ってから、`username` と `password` を入力する。（これは、何でも構いません。）
- もう一度 `password` を入力する。
- しばらく待ってから、`username` と `password` を入力します。（これは、何でも構いません。）
- もう一度 `password` を入力します。

:::tip
`new password` を求められたときに、入力しても画面上は何も変化しませんが正しく入力されています。そのまま入力して `Enterキー` を押してください。
Expand All @@ -38,11 +38,11 @@ macOS は、Linux という OS と源流を同じくするので、プログラ

## Remote WSL のインストール方法

ここでは、VSCode で WSL 上のファイルに簡単にアクセスできる Remote WSL のインストール方法を紹介します。
ここでは、VSCode で WSL 上のファイルに簡単にアクセスできる Remote WSL 拡張機能のインストール方法を紹介します。

[VSCode をインストールの項](/docs/extras/1vscode/)を参考に Visual Studio Code をインストールしておいてください。

下記の動画を参考に VSCode に Remote WSL をインストールしてください。
下記の動画を参考に VSCode に Remote WSL 拡張機能をインストールしてください。

VSCode で拡張機能を検索して、インストールします。

Expand Down
50 changes: 25 additions & 25 deletions docs/python/08array/_samples/average.ipynb
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@@ -1,29 +1,29 @@
{
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"metadata": {},
"source": [
"score1 = 96\n",
"score2 = 56\n",
"score3 = 42\n",
"score4 = 74\n",
"score5 = 86\n",
"print((score1 + score2 + score3 + score4 + score5) / 5)"
],
"cell_type": "code",
"outputs": [
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"70.8\n"
]
"metadata": {},
"source": [
"score1 = 96\n",
"score2 = 56\n",
"score3 = 42\n",
"score4 = 74\n",
"score5 = 86\n",
"print((score1 + score2 + score3 + score4 + score5) / 5)"
],
"cell_type": "code",
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"70.8\n"
]
}
],
"execution_count": null
}
],
"execution_count": null
}
]
]
}
59 changes: 28 additions & 31 deletions docs/python/08array/_samples/average10.ipynb
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@@ -1,35 +1,32 @@
{
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"metadata": {},
"source": [
"def average(scores):\n",
" sum = 0\n",
" for i in range(len(scores)):\n",
" sum += scores[i]\n",
" return sum / len(scores)\n",
"\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"average(scores)"
],
"cell_type": "code",
"outputs": [
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"40.2"
]
},
"metadata": {},
"execution_count": 2
"metadata": {},
"source": [
"def average(scores):\n",
" sum = 0\n",
" for i in range(len(scores)):\n",
" sum += scores[i]\n",
" return sum / len(scores)\n",
"\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"print(average(scores))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"40.2\n"
]
}
],
"execution_count": null
}
],
"execution_count": null
}
]
]
}
15 changes: 6 additions & 9 deletions docs/python/08array/_samples/average_numpy.ipynb
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Expand Up @@ -9,19 +9,16 @@
"import numpy\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"numpy.mean(scores)"
"print(numpy.mean(scores))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"40.2"
]
},
"metadata": {},
"execution_count": 1
"output_type": "stream",
"name": "stdout",
"text": [
"40.2\n"
]
}
],
"execution_count": null
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15 changes: 6 additions & 9 deletions docs/python/08array/_samples/average_statistics.ipynb
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Expand Up @@ -9,19 +9,16 @@
"import statistics\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"statistics.mean(scores)"
"print(statistics.mean(scores))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"40.2"
]
},
"metadata": {},
"execution_count": 1
"output_type": "stream",
"name": "stdout",
"text": [
"40.2\n"
]
}
],
"execution_count": null
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43 changes: 20 additions & 23 deletions docs/python/08array/_samples/sum.ipynb
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@@ -1,27 +1,24 @@
{
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"metadata": {},
"source": [
"sum([1, 2, 3])"
],
"cell_type": "code",
"outputs": [
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"6"
]
},
"metadata": {},
"execution_count": 2
"metadata": {},
"source": [
"print(sum([1, 2, 3]))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"6\n"
]
}
],
"execution_count": null
}
],
"execution_count": null
}
]
]
}
43 changes: 20 additions & 23 deletions docs/python/08array/_samples/sum2.ipynb
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@@ -1,27 +1,24 @@
{
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"metadata": {},
"source": [
"sum([2, 5, 7])"
],
"cell_type": "code",
"outputs": [
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"14"
]
},
"metadata": {},
"execution_count": 1
"metadata": {},
"source": [
"print(sum([2, 5, 7]))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"14\n"
]
}
],
"execution_count": null
}
],
"execution_count": null
}
]
]
}
75 changes: 36 additions & 39 deletions docs/python/08array/_samples/variance.ipynb
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@@ -1,43 +1,40 @@
{
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"metadata": {},
"source": [
"def average(scores):\n",
" sum = 0\n",
" for i in range(len(scores)):\n",
" sum += scores[i]\n",
" return sum / len(scores)\n",
"\n",
"\n",
"def variance(scores):\n",
" sum = 0\n",
" calculated_average = average(scores)\n",
" for i in range(len(scores)):\n",
" sum += (scores[i] - calculated_average) ** 2\n",
" return sum / len(scores)\n",
"\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"variance(scores)"
],
"cell_type": "code",
"outputs": [
"nbformat": 4,
"nbformat_minor": 2,
"metadata": {},
"cells": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"955.5600000000001"
]
},
"metadata": {},
"execution_count": 3
"metadata": {},
"source": [
"def average(scores):\n",
" sum = 0\n",
" for i in range(len(scores)):\n",
" sum += scores[i]\n",
" return sum / len(scores)\n",
"\n",
"\n",
"def variance(scores):\n",
" sum = 0\n",
" calculated_average = average(scores)\n",
" for i in range(len(scores)):\n",
" sum += (scores[i] - calculated_average) ** 2\n",
" return sum / len(scores)\n",
"\n",
"\n",
"scores = [26, 78, 83, 20, 10, 11, 22, 16, 41, 95]\n",
"print(variance(scores))"
],
"cell_type": "code",
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"955.5600000000001\n"
]
}
],
"execution_count": null
}
],
"execution_count": null
}
]
]
}
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