{"id":11427,"date":"2023-11-02T20:08:43","date_gmt":"2023-11-02T11:08:43","guid":{"rendered":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/?p=11427"},"modified":"2023-11-02T20:08:43","modified_gmt":"2023-11-02T11:08:43","slug":"%e6%b2%b3%e6%9d%91-%e5%93%b2%e4%b9%9f%e3%80%81%e4%bd%90%e3%80%85%e6%9c%a8-%e6%a1%83-2023-python-%e3%81%ab%e3%82%88%e3%82%8b%e6%b5%81%e4%bd%93%e8%a7%a3%e6%9e%90","status":"publish","type":"post","link":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/?p=11427","title":{"rendered":"\u6cb3\u6751 \u54f2\u4e5f\u3001\u4f50\u3005\u6728 \u6843 (2023) Python \u306b\u3088\u308b\u6d41\u4f53\u89e3\u6790"},"content":{"rendered":"<ul>\n<li>\u6cb3\u6751 \u54f2\u4e5f\u3001\u4f50\u3005\u6728 \u6843, 2023: <em>Python \u306b\u3088\u308b\u6d41\u4f53\u89e3\u6790<\/em> (\u5b9f\u8df5 Python \u30e9\u30a4\u30d6\u30e9\u30ea\u30fc)\u3002\u671d\u5009\u66f8\u5e97, 216 pp. ISBN 978-4-254-12902-1.<\/li>\n<\/ul>\n<p>2023\u5e747\u6708\u306e\u65b0\u520a\u3002A5\u5224 \u6a2a\u66f8\u304d\u306e\u30da\u30fc\u30d1\u30fc\u30d0\u30c3\u30af\u3002<\/p>\n<p>\u6cb3\u6751 (2014) \u300e<em>\u6d41\u4f53\u89e3\u6790\u306e\u57fa\u790e<\/em>\u300f\u3092\u3082\u3068\u306b\u3001\u305d\u306e\u672c\u306e Fortran \u307e\u305f\u306f C \u306b\u3088\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f50\u3005\u6728\u3055\u3093\u304c Python \u306b\u66f8\u304d\u304b\u3048\u305f\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n<p>\u984c\u6750\u306f\u304a\u3082\u306b\u3001\u975e\u5727\u7e2e\u6d41\u4f53\u306e\u904b\u52d5\u65b9\u7a0b\u5f0f\u7cfb\u3092\u5dee\u5206\u8fd1\u4f3c\u3067\u3068\u304f\u3082\u306e\u3067\u3042\u308b\u3002\u4ed8\u9332\u3067\u3001\u6709\u9650\u8981\u7d20\u6cd5\u3084\u6709\u9650\u4f53\u7a4d\u6cd5\u306e\u8003\u3048\u304b\u305f\u3082\u7d39\u4ecb\u3055\u308c\u3066\u3044\u308b\u3002<\/p>\n<p>\u975e\u5727\u7e2e\u6d41\u4f53\u306e\u904b\u52d5\u65b9\u7a0b\u5f0f\u306f\u3001\u5727\u529b\u306e\u5f0f\u3068\u901f\u5ea6\u306e\u5f0f\u306e\u9023\u7acb\u306b\u306a\u308b\u304c\u3001\u5727\u529b\u3092\u6d88\u53bb\u3057\u3066\u5909\u5f62\u3057\u305f\u65b9\u7a0b\u5f0f\u7cfb\u3092\u3064\u304b\u3046\u65b9\u6cd5\u304c\u3042\u308b\u30022\u6b21\u5143\u306e\u3070\u3042\u3044\u306f\u300c\u6d41\u308c\u95a2\u6570\u300d\u3068\u6e26\u5ea6\u30013\u6b21\u5143\u306e\u3070\u3042\u3044\u306f\u300c\u30d9\u30af\u30c8\u30eb\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u300d\u3068\u6e26\u5ea6\u3067\u3042\u308b\u3002\u4ed6\u65b9\u3001\u9023\u7acb\u306e\u307e\u307e\u3068\u304f\u65b9\u6cd5\u3082\u3042\u308b\u3002\u3053\u3053\u3067\u975e\u5727\u7e2e\u6d41\u4f53\u306a\u3089\u3070\u901f\u5ea6\u30d9\u30af\u30c8\u30eb\u306e\u767a\u6563\u306f 0 \u3068\u306a\u308b\u3079\u304d\u306a\u306e\u3060\u304c\u3001\u305d\u308c\u3092\u307f\u305f\u3059\u6570\u5024\u89e3\u3092\u6c42\u3081\u308b\u306e\u306f\u56f0\u96e3\u3060\u3002\u53b3\u5bc6\u306b\u306f 0 \u306b\u306a\u3089\u306a\u3044\u304c\u3058\u3085\u3046\u3076\u3093\u5c0f\u3055\u304f\u306a\u308b\u3088\u3046\u306a\u304f\u3075\u3046\u304c\u3042\u308a\u3001MAC (marker and cell) \u6cd5\u3068\u3088\u3070\u308c\u3066\u3044\u308b\u3002\u672c\u66f8\u3067\u306f 2\u6b21\u5143\u3068 3\u6b21\u5143\u306e\u554f\u984c\u306b MAC \u6cd5\u3092\u9069\u7528\u3057\u3066\u3044\u308b\u3002<\/p>\n<p>\u73fe\u5b9f\u7684\u306a\u554f\u984c\u3068\u3057\u3066\u5ba4\u5185\u6c17\u6d41\u3092\u3042\u3064\u304b\u3063\u3066\u3044\u308b\u3002\u3053\u3053\u3067\u306f\u6e29\u5ea6\u306b\u3088\u308b\u5bc6\u5ea6\u5909\u5316\u304c\u3042\u308b\u306e\u3067\u53b3\u5bc6\u306b\u306f\u975e\u5727\u7e2e\u3067\u306f\u306a\u3044\u306e\u3060\u304c\u3001\u5bc6\u5ea6\u306e\u5909\u5316\u306e\u52b9\u679c\u306f\u6d6e\u529b\u306b\u3060\u3051\u3042\u3089\u308f\u308c\u308b\u3068\u3044\u3046 Boussinesq (\u30d6\u30b7\u30cd\u30b9\u30af) \u8fd1\u4f3c\u3092\u3057\u3066\u3044\u308b\u3002<\/p>\n<p>\u672c\u66f8\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u3001Python \u6587\u6cd5\u306b\u3042\u3063\u3066\u306f\u3044\u308b\u304c\u3001\u300cPython \u3089\u3057\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u300d\u3068\u3044\u3046\u3088\u308a\u3082\u300cFortran \u3089\u3057\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u300d\u3060\u3068\u601d\u3046\u3002\u3057\u304b\u3057\u3001Python \u3067\u3042\u307e\u308a\u8907\u96d1\u306a\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u304f\u3053\u3068\u306f\u3059\u3059\u3081\u3089\u308c\u305a\u3001\u672c\u683c\u7684\u306a\u6d41\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u3059\u308b\u306b\u306f Fortran \u304b C \u306b\u3046\u3064\u3063\u305f\u307b\u3046\u304c\u3088\u3044\u304b\u3089\u3001\u3080\u3057\u308d\u300cFortran \u3089\u3057\u3044 Python\u300d\u306e\u307b\u3046\u304c\u521d\u7d1a\u3080\u3051\u306e\u6559\u6750\u3068\u3057\u3066\u306f\u3088\u3044\u306e\u304b\u3082\u3057\u308c\u306a\u3044\u3002<\/p>\n<p>\u305d\u308c\u306b\u3057\u3066\u3082\u3001\u914d\u5217\u306e\u6dfb\u3048\u5b57\u306e\u9806\u5e8f\u3068\u30eb\u30fc\u30d7\u306e\u95a2\u4fc2\u306f\u3053\u308c\u3067\u3088\u3044\u306e\u3060\u308d\u3046\u304b\u3002Fortran \u3067\u306f\u3001\u914d\u5217 A(i,j) \u306e\u5185\u5bb9\u306f\u3001\u8a08\u7b97\u6a5f\u306e\u8a18\u61b6\u88c5\u7f6e\u5185\u306e\u4f4d\u7f6e\u304c\u30011\u3064\u3081\u306e\u6dfb\u3048\u5b57 (\u3053\u3053\u3067\u306f i) \u304c 1\u3064\u3061\u304c\u3046\u3082\u306e\u304c\u3068\u306a\u308a\u3069\u304a\u3057\u306b\u3042\u308a\u3001\u3042\u3068\u306e\u6dfb\u3048\u5b57 (\u3053\u3053\u3067\u306f j) \u304c 1\u3064\u3061\u304c\u3046\u3082\u306e\u306f\u3082\u3063\u3068\u9060\u3044\u3002\u305d\u308c\u3067\u3001\u4e8c\u91cd\u30eb\u30fc\u30d7\u306f i \u306b\u3088\u308b\u3082\u306e\u3092\u5185\u5074\u306b\u3057\u305f\u307b\u3046\u304c\u3088\u3044\u3068\u3055\u308c\u3066\u3044\u308b\u3002\u3068\u3053\u308d\u304c Python \u306e\u914d\u5217\u5909\u6570 A[i,j] \u3067\u306f\u3001\u3042\u3068\u306e\u6dfb\u3048\u5b57 (\u3053\u3053\u3067\u306f j) \u306e\u307b\u3046\u304c\u5185\u5074\u3060\u3068\u805e\u3044\u305f\u3002\u305d\u3046\u3059\u308b\u3068\u3001j \u306b\u3088\u308b\u30eb\u30fc\u30d7\u306e\u307b\u3046\u3092\u5185\u5074\u306b\u66f8\u3044\u305f\u307b\u3046\u304c\u3088\u3044\u3068 (\u308f\u305f\u3057\u306f) \u601d\u3046\u3002\u3010\u3080\u3057\u308d\u3001Fortran \u306e A(i,j) \u306b\u306f Python \u306e A[j,i] \u3092\u5bfe\u5fdc\u3055\u305b\u308b\u3079\u304d\u3060\u3068\u3044\u3046\u8003\u3048\u3082\u3042\u308b\u3002\u308f\u305f\u3057\u306f\u81ea\u5206\u306e\u6c17\u8c61\u30c7\u30fc\u30bf\u51e6\u7406\u3067\u306f\u305d\u306e\u8003\u3048\u306b\u3057\u305f\u304c\u3063\u3066\u3044\u308b\u3002\u3011 \u3057\u304b\u3057\u672c\u66f8\u3067\u306f A[i, j] \u3092\u3042\u3064\u304b\u3046\u30eb\u30fc\u30d7\u306f i \u306e\u307b\u3046\u304c\u5185\u5074\u306b\u66f8\u304b\u308c\u3066\u3044\u308b\u3002\u8457\u8005\u306e\u5224\u65ad\u306f\u3001\u305d\u306e\u9806\u5e8f\u306e\u5165\u308c\u304b\u3048\u306b\u3088\u308b\u5b9f\u884c\u52b9\u7387\u306e\u3061\u304c\u3044\u306f\u7121\u8996\u3067\u304d\u308b\u3068\u3044\u3046\u3053\u3068\u306a\u306e\u304b\u3082\u3057\u308c\u306a\u3044\u3002\u305d\u308c\u3088\u308a\u3082\u3001Fortran \u306b\u3046\u3064\u308b\u3053\u3068\u306b\u306a\u3063\u305f\u3070\u3042\u3044\u306e\u3046\u3064\u308a\u3084\u3059\u3055\u306e\u307b\u3046\u304c\u91cd\u8996\u3055\u308c\u3066\u3044\u308b\u306e\u304b\u3082\u3057\u308c\u306a\u3044\u3002<\/p>\n<p><strong>\u6587\u732e<\/strong><\/p>\n<ul>\n<li>\u6cb3\u6751 \u54f2\u4e5f, 2014: <em>\u6d41\u4f53\u89e3\u6790\u306e\u57fa\u790e<\/em>\u3002\u671d\u5009\u66f8\u5e97\u3002<\/li>\n<\/ul>\n<p>\u6298\u308a\u304b\u3048\u3057\u306e\u3042\u3068\u306b\u76ee\u6b21\u3092\u3064\u3051\u308b\u3002<br \/>\n<!--more--><br \/>\n== \u76ee\u6b21 ==<br \/>\n\u306f\u3058\u3081\u306b<br \/>\n\u76ee\u6b21<br \/>\n1. \u5e38\u5fae\u5206\u65b9\u7a0b\u5f0f\u306e\u5dee\u5206\u89e3\u6cd5<br \/>\n &#8211; 1.1 \u5dee\u5206\u65b9\u7a0b\u5f0f\u306e\u69cb\u6210\u6cd5<br \/>\n &#8211; &#8211; 1.1.1 \u5fae\u5206\u306e\u5b9a\u7fa9\u3092\u7528\u3044\u308b\u65b9\u6cd5<br \/>\n &#8211; &#8211; 1.1.2 \u30c6\u30a4\u30e9\u30fc\u5c55\u958b<br \/>\n &#8211; &#8211; 1.1.3 \u30e9\u30b0\u30e9\u30f3\u30b8\u30e5\u88dc\u9593\u306e\u5fdc\u7528<br \/>\n &#8211; 1.2 \u5883\u754c\u5024\u554f\u984c<br \/>\n &#8211; 1.3 \u521d\u671f\u5024\u554f\u984c 1<br \/>\n &#8211; 1.4 \u521d\u671f\u5024\u554f\u984c 2<br \/>\n &#8211; 1.5 \u6570\u5024\u7a4d\u5206\u306e\u5fdc\u7528<br \/>\n2. \u7dda\u5f62\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f\u306e\u5dee\u5206\u89e3\u6cd5<br \/>\n &#8211; 2.1 2\u968e\u7dda\u5f62\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f\u306e\u5206\u985e<br \/>\n &#8211; 2.2 \u6955\u5186\u578b\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f<br \/>\n &#8211; 2.3 \u653e\u7269\u578b\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f 1<br \/>\n &#8211; 2.4 \u653e\u7269\u578b\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f 2<br \/>\n &#8211; 2.5 \u53cc\u66f2\u578b\u504f\u5fae\u5206\u65b9\u7a0b\u5f0f<br \/>\n &#8211; 2.6 \u79fb\u6d41\u62e1\u6563\u65b9\u7a0b\u5f0f\u3068\u4e0a\u6d41\u5dee\u5206\u6cd5<br \/>\n &#8211; 2.7 \u975e\u7dda\u5f62\u79fb\u6d41\u65b9\u7a0b\u5f0f\u306e\u5dee\u5206\u89e3\u6cd5<br \/>\n &#8211; &#8211; 2.7.1 \u4e0a\u6d41\u5dee\u5206<br \/>\n &#8211; &#8211; 2.7.2 \u30de\u30b3\u30fc\u30de\u30c3\u30af\u6cd5<br \/>\n &#8211; &#8211; 2.7.3 1\u6b21\u5143\u30aa\u30a4\u30e9\u30fc\u65b9\u7a0b\u5f0f<br \/>\n3. \u975e\u5727\u7e2e\u6027\u30ca\u30d3\u30a8-\u30b9\u30c8\u30fc\u30af\u30b9\u65b9\u7a0b\u5f0f\u306e\u5dee\u5206\u89e3\u6cd5<br \/>\n &#8211; 3.1 \u30ca\u30d3\u30a8-\u30b9\u30c8\u30fc\u30af\u30b9\u65b9\u7a0b\u5f0f<br \/>\n &#8211; 3.2 \u5727\u529b\u3092\u6d88\u53bb\u3059\u308b\u65b9\u6cd5<br \/>\n &#8211; &#8211; 3.2.1 \u6d41\u308c\u95a2\u6570-\u6e26\u5ea6\u6cd5<br \/>\n &#8211; &#8211; 3.2.3 \u30d9\u30af\u30c8\u30eb\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb-\u6e26\u5ea6\u6cd5<br \/>\n &#8211; 3.3 \u5727\u529b\u3092\u6c42\u3081\u308b\u65b9\u6cd5<br \/>\n &#8211; &#8211; 3.3.1 MAC\u6cd5<br \/>\n &#8211; &#8211; 3.3.2 SMAC\u6cd5<br \/>\n &#8211; &#8211; 3.3.3 \u30d7\u30ed\u30b8\u30a7\u30af\u30b7\u30e7\u30f3\u6cd5<br \/>\n &#8211; &#8211; 3.3.4 \u30d5\u30e9\u30af\u30b7\u30e7\u30ca\u30eb\u30fb\u30b9\u30c6\u30c3\u30d7\u6cd5<br \/>\n4. \u71b1\u3068\u4e71\u6d41\u306e\u53d6\u308a\u6271\u3044 (\u5ba4\u5185\u6c17\u6d41\u306e\u89e3\u6790)<br \/>\n &#8211; 4.1 \u5ba4\u5185\u6c17\u6d41\u306e\u5c64\u6d41\u89e3\u6790<br \/>\n &#8211; &#8211; 4.1.1 \u6d41\u308c\u95a2\u6570-\u6e26\u5ea6\u6cd5 (\u975e\u5b9a\u5e38)<br \/>\n &#8211; &#8211; 4.1.2 MAC\u6cd5<br \/>\n &#8211; 4.2 \u71b1\u306e\u53d6\u308a\u6271\u3044<br \/>\n &#8211; &#8211; 4.2.1 \u5f37\u5236\u5bfe\u6d41\u554f\u984c<br \/>\n &#8211; &#8211; 4.2.2 \u81ea\u7136\u5bfe\u6d41\u554f\u984c<br \/>\n &#8211; 4.3 \u4e71\u6d41\u306e\u53d6\u308a\u6271\u3044<br \/>\n &#8211; &#8211; 4.3.1 \u30ec\u30a4\u30ce\u30eb\u30ba\u65b9\u7a0b\u5f0f\u3068\u6e26\u7c98\u6027<br \/>\n &#8211; &#8211; 4.3.2 \u6df7\u5408\u8ddd\u96e2\u30e2\u30c7\u30eb<br \/>\n &#8211; &#8211; 4.3.3 k-\u03b5 \u30e2\u30c7\u30eb<br \/>\n5. \u5ea7\u6a19\u5909\u63db\u3068\u683c\u5b50\u751f\u6210<br \/>\n &#8211; 5.1 \u66f2\u304c\u3063\u305f\u5883\u754c\u306e\u53d6\u308a\u6271\u3044\u65b9<br \/>\n &#8211; 5.2 1\u6b21\u5143\u5ea7\u6a19\u5909\u63db<br \/>\n &#8211; 5.3 2\u6b21\u5143\u5ea7\u6a19\u5909\u63db<br \/>\n &#8211; 5.4 3\u6b21\u5143\u5ea7\u6a19\u5909\u63db<br \/>\n &#8211; 5.5 \u4ee3\u6570\u7684\u683c\u5b50\u751f\u6210\u6cd5<br \/>\n &#8211; &#8211; 5.5.1 \u30e9\u30b0\u30e9\u30f3\u30b8\u30e5\u88dc\u9593\u6cd5<br \/>\n &#8211; &#8211; 5.5.2 \u30a8\u30eb\u30df\u30fc\u30c8\u88dc\u9593\u6cd5<br \/>\n &#8211; &#8211; 5.5.3 \u30b9\u30d7\u30e9\u30a4\u30f3\u88dc\u9593\u6cd5<br \/>\n &#8211; &#8211; 5.5.4 \u8d85\u9650\u4fdd\u7ba1\u6cd5<br \/>\n &#8211; 5.6 \u504f\u5fae\u5206\u65b9\u7a0b\u5f0f\u306b\u3088\u308b\u683c\u5b50\u751f\u6210\u6cd5<br \/>\n &#8211; &#8211; 5.6.1 \u30e9\u30d7\u30e9\u30b9\u65b9\u7a0b\u5f0f\u306b\u3088\u308b\u683c\u5b50\u751f\u6210<br \/>\n &#8211; &#8211; 5.6.2 \u30dd\u30a2\u30bd\u30f3\u65b9\u7a0b\u5f0f\u306b\u3088\u308b\u683c\u5b50\u751f\u6210<br \/>\n &#8211; &#8211; 5.6.3 \u5883\u754c\u3068\u76f4\u4ea4\u3059\u308b\u683c\u5b50<br \/>\n &#8211; &#8211; 5.6.4 \u9818\u57df\u5185\u3067\u76f4\u4ea4\u3059\u308b\u683c\u5b50<br \/>\n6. \u3044\u308d\u3044\u308d\u306a 2\u6b21\u5143\u6d41\u308c\u306e\u8a08\u7b97<br \/>\n &#8211; 6.1 \u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u6d41\u306e\u89e3\u6790\u4f8b<br \/>\n &#8211; 6.2 \u6d41\u308c\u95a2\u6570-\u6e26\u5ea6\u6cd5\u306b\u3088\u308b\u89e3\u6790\u4f8b<br \/>\n &#8211; &#8211; 6.2.1 \u969c\u5bb3\u7269\u307e\u308f\u308a\u306e\u6d41\u308c<br \/>\n &#8211; &#8211; 6.2.2 \u5186\u67f1\u307e\u308f\u308a\u306e\u6d41\u308c<br \/>\n &#8211; &#8211; 6.2.3 \u62e1\u5927\u7ba1\u5185\u306e\u6d41\u308c<br \/>\n &#8211; 6.3 MAC\u6cd5\u306b\u3088\u308b\u89e3\u6790\u4f8b<br \/>\n &#8211; &#8211; 6.3.1 \u6955\u5186\u67f1\u307e\u308f\u308a\u306e 2\u6b21\u5143\u6d41\u308c<br \/>\n7. MAC\u6cd5\u306b\u3088\u308b 3\u6b21\u5143\u6d41\u308c\u306e\u89e3\u6790<br \/>\n &#8211; 7.1 3\u6b21\u5143\u7acb\u65b9\u4f53\u30ad\u30e3\u30d3\u30c6\u30a3\u5185\u306e\u6d41\u308c<br \/>\n &#8211; 7.2 3\u6b21\u5143\u5ba4\u5185\u6c17\u6d41<br \/>\n &#8211; 7.3 \u591a\u304f\u306e\u7269\u4f53\u307e\u308f\u308a\u306e 3\u6b21\u5143\u6d41\u308c<br \/>\n &#8211; 7.4 \u4efb\u610f\u5f62\u72b6\u9818\u57df\u3067\u306e 3\u6b21\u5143\u6d41\u308c<br \/>\n\u4ed8\u9332<br \/>\n &#8211; A. \u5b89\u5b9a\u6027<br \/>\n &#8211; B. \u91cd\u307f\u4ed8\u304d\u6b8b\u5dee\u6cd5 (\u5e38\u5fae\u5206\u65b9\u7a0b\u5f0f)<br \/>\n &#8211; &#8211; B.1 \u9078\u70b9\u6cd5<br \/>\n &#8211; &#8211; B.2 \u30ac\u30ec\u30eb\u30ad\u30f3\u6cd5<br \/>\n &#8211; &#8211; B.3 \u6709\u9650\u8981\u7d20\u6cd5<br \/>\n &#8211; C. \u6709\u9650\u4f53\u7a4d\u6cd5<br \/>\n &#8211; D. SIMPLE\u6cd5<br \/>\n &#8211; E. \u9023\u7acb1\u6b21\u65b9\u7a0b\u5f0f\u306e\u53cd\u5fa9\u89e3\u6cd5<br \/>\n &#8211; &#8211; E.1 \u53cd\u5fa9\u6cd5<br \/>\n &#8211; &#8211; E.2 \u30e4\u30b3\u30d3\u306e\u53cd\u5fa9\u6cd5<br \/>\n &#8211; &#8211; E.3 \u30ac\u30a6\u30b9-\u30b6\u30a4\u30c7\u30eb\u6cd5<br \/>\n &#8211; &#8211; E.4 SOR\u6cd5<br \/>\n &#8211; F. \u6570\u5024\u7a4d\u5206<br \/>\n\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u5185\u5bb9<br \/>\n\u5f15\u7528\u6587\u732e<br \/>\n\u53c2\u8003\u56f3\u66f8<br \/>\n\u7d22\u5f15<br \/>\n==========<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6cb3\u6751 \u54f2\u4e5f\u3001\u4f50\u3005\u6728 \u6843, 2023: Python \u306b\u3088\u308b\u6d41\u4f53\u89e3\u6790 (\u5b9f\u8df5 Python \u30e9\u30a4\u30d6\u30e9\u30ea\u30fc)\u3002\u671d\u5009\u66f8\u5e97, 216 pp. ISBN 978-4-254-12902-1. 2023\u5e747\u6708\u306e\u65b0\u520a\u3002A5\u5224 \u6a2a\u66f8\u304d\u306e [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-11427","post","type-post","status-publish","format-standard","hentry","category-dokusyo-memo-"],"_links":{"self":[{"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/posts\/11427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11427"}],"version-history":[{"count":3,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/posts\/11427\/revisions"}],"predecessor-version":[{"id":11467,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=\/wp\/v2\/posts\/11427\/revisions\/11467"}],"wp:attachment":[{"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11427"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/macroscope.world.coocan.jp\/yukukawa\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}