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    # 改訂版 Pythonユーザのための Jupyter[実践]入門 勉強会 ###### tags: `Fintalk` この会は月刊Fintalk Holiday の Koan部 で行っているJupyter 勉強会です。 ## この会に参加するとおそらく幸せになる人 + Pythonは文法だいたい知ってる + Python/Pandasを使ってデータ分析をやってみたい + Jupyter Notebook(もしくは Google Colabratory の使い勝手がイマイチわからない) + Pythonをつかった可視化の勉強をしたい + ひとりだと、続かない。質問出来る環境がほしい。 ## 参加するには 参加には以下をご用意いただくことになります。 1. [改訂版 Pythonユーザのための Jupyter[実践]入門:書籍案内|技術評論社](https://gihyo.jp/book/2020/978-4-297-11568-5) の購入 2. [practical-jupyter/sample-code-2nd](https://github.com/practical-jupyter/sample-code-2nd) をクローン 3. 下記の担当表に名前を入れて、担当をもつ ### Fintalk に初めて参加するかたへ Fintalk については、こちらを参照ください: https://fintalk.connpass.com/ ## 進め方 1. 各自、[practical-jupyter/sample-code-2nd](https://github.com/practical-jupyter/sample-code-2nd) をクローンするなり、Google Colabで実行するなり、**予習**をしておく + ローカル環境での実行がうまく行かない場合は、遠慮なくスラックで質問してください :smile_cat: 3. 担当の人がそのノートブックを、15分〜20分目安で解説 4. 担当の人が、そのノートブックの内容を元に問題を**3つ**出題する 5. 10分くらいで問題を解く 6. 答え合わせ、質疑応答などを15分くらいでおこなう (各回、何番まで行うかなどの詳細はコンパスで毎回案内します) ## 担当表 担当は早いもの勝ちで決めます :smile: とりあえず3つくらい埋めて下さい。参加人数次第で調整します。 このHackMDはだれでも加筆できますので、誰かが書いた内容を消さないように気をつけてください :bow: | 章-節 | タイトル | 担当 | |:--------|:---------------------------|:-------| | 3-2 | サンプルデータについて |yukario| | 3-3 | Series |kame-chan| | 3-4 | DataFrame | Shishizo| | 3-5 | さまざまなデータの読み込み |Nitsumari| | 3-6 | データの前処理 |Nitsumari| | 3-7 | テキストデータの処理 |yukario| | 3-8 | 時系列データの処理 |kame-chan| | 3-9 | 基本統計量の算出 |shinseitaro :pig:| | 3-10 | データの結合 |yukario| | 3-11 | データの集計 |Shishizo| | 3-12 | データの可視化 |shinseitaro :pig:| | 章-節 | タイトル | 担当 | |:--------|:-------------|:-------| | 4-2 | グラフの描画 | Nitsumari | | 4-3 | 折れ線グラフ | Shishizo | | 4-4 | 散布図 | yukario| | 4-5 | 棒グラフ | Nitsumari | | 4-6 | ヒストグラム |kame-chan| | 4-7 | 箱ひげ図 |kame-chan| | 4-8 | 円グラフ |yukario| | 章-節 | タイトル | 担当 | |:--------|:--------------------------------------------|:-------| | 5-2 | フィギュアとサブプロットの書式設定 | Shishizo| | 5-3 | グラフの軸と目盛りの設定 |たろう | | 5-4 | 凡例の設定 |yukario | | 5-5 | 線の書式設定 | kame-chan | | 5-6 | 色の設定 |yukario| | 5-7 | 文字列の書式設定 |たろう| | 5-8 | 描画スタイルの適用 | kame-chan | | 5-9 | グラフをファイルに出力 |Shishizo | | 5-10 | Matplotlibでグラフを描画する2つのアプローチ |たろう| | 章-節 | タイトル | 担当 | |:--------|:-----------------------|:-------| | 6-2 | APIの概要 |yukario| | 6-3 | グラフの描画方法 |Shishizo | | 6-4 | データの関係の可視化 |kame-chan| | 6-5 | カテゴリデータの可視化 |Shishizo| | 6-6 | データ分布の可視化 |yukario| | 6-7 | 回帰の可視化 | kame-chan <-ここから| | 章-節 | タイトル | 担当 | |:--------|:-----------------------------|:-------| | 7-1 | ファセットの活用 |しんせいたろう| | 7-2 | ペアグリッドの活用 |yukario| | 7-3 | ジョイントグリッドの活用 |Nitsumari| | 7-4 | axes-level関数の利用 |Shishizo| | 7-5 | グラフのスタイルと書式の設定 | kame-chan |

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