{"id":3504,"date":"2026-10-17T13:04:16","date_gmt":"2026-10-17T04:04:16","guid":{"rendered":"https:\/\/qol-kk.com\/wp2\/?p=3504"},"modified":"2026-10-17T13:04:16","modified_gmt":"2026-10-17T04:04:16","slug":"20261006-plan051","status":"publish","type":"post","link":"https:\/\/qol-kk.com\/wp2\/blog\/2026\/10\/17\/20261006-plan051\/","title":{"rendered":"dataclass vs Pydantic \u2014 \u3069\u3061\u3089\u3092\u9078\u3076\u3079\u304d\u304b"},"content":{"rendered":"<h2>\u6982\u8981<\/h2>\n<p>Python \u3067\u30c7\u30fc\u30bf\u3092\u300c\u578b\u3064\u304d\u306e\u69cb\u9020\u4f53\u300d\u3068\u3057\u3066\u6271\u3044\u305f\u3044\u3068\u304d\u3001\u6a19\u6e96\u30e9\u30a4\u30d6\u30e9\u30ea\u306e <code>dataclasses<\/code> \u3068\u30b5\u30fc\u30c9\u30d1\u30fc\u30c6\u30a3\u306e <code>Pydantic<\/code> \u306e\u3069\u3061\u3089\u3092\u4f7f\u3046\u304b\u306f\u3001\u3088\u304f\u3042\u308b\u5224\u65ad\u30dd\u30a4\u30f3\u30c8\u3067\u3059\u3002\u898b\u305f\u76ee\u304c\u4f3c\u3066\u3044\u308b\u305f\u3081\u6df7\u540c\u3055\u308c\u304c\u3061\u3067\u3059\u304c\u3001\u8a2d\u8a08\u601d\u60f3\u306f\u307e\u3063\u305f\u304f\u7570\u306a\u308a\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u30b3\u30fc\u30c9\u4f8b\u3092\u4ea4\u3048\u3066\u4e21\u8005\u306e\u9055\u3044\u3092\u6574\u7406\u3057\u3001\u72b6\u6cc1\u5225\u306e\u9078\u3073\u65b9\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<p>\u7d50\u8ad6\u3092\u5148\u306b\u66f8\u304d\u307e\u3059\u3002<\/p>\n<ul>\n<li><strong>\u5185\u90e8\u30c7\u30fc\u30bf\u306e\u5165\u308c\u7269<\/strong>\u306a\u3089 <code>dataclass<\/code>\uff08\u8efd\u91cf\u30fb\u6a19\u6e96\u30fb\u30bc\u30ed\u4f9d\u5b58\uff09<\/li>\n<li><strong>\u5916\u90e8\u304b\u3089\u306e\u5165\u529b\u3092\u691c\u8a3c\u30fb\u5909\u63db\u3059\u308b\u5883\u754c<\/strong>\u306a\u3089 <code>Pydantic<\/code>\uff08\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3\u30fb\u578b\u5f37\u5236\u30fb\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba\uff09<\/li>\n<\/ul>\n<p>\u672c\u8a18\u4e8b\u306e\u30b3\u30fc\u30c9\u306f Python 3.11 \/ Pydantic 2.x \u3092\u524d\u63d0\u306b\u3057\u3066\u3044\u307e\u3059\u3002Pydantic \u306f v1 \u3068 v2 \u3067 API \u304c\u5927\u304d\u304f\u7570\u306a\u308b\u305f\u3081\u3001v2 \u3092\u524d\u63d0\u306b\u3057\u307e\u3059\u3002<\/p>\n<h2>\u6839\u672c\u7684\u306a\u9055\u3044\uff1a\u5b9f\u884c\u6642\u306b\u691c\u8a3c\u3059\u308b\u304b<\/h2>\n<p>\u4e00\u756a\u5927\u304d\u306a\u9055\u3044\u306f <strong>\u300c\u5b9f\u884c\u6642\u306b\u691c\u8a3c\u3059\u308b\u304b\u3069\u3046\u304b\u300d<\/strong> \u3067\u3059\u3002<\/p>\n<p><code>dataclass<\/code> \u306f <code>__init__<\/code> \u3084 <code>__repr__<\/code> \u306a\u3069\u306e\u30dc\u30a4\u30e9\u30fc\u30d7\u30ec\u30fc\u30c8\u3092\u81ea\u52d5\u751f\u6210\u3059\u308b\u30b3\u30fc\u30c9\u30b8\u30a7\u30cd\u30ec\u30fc\u30bf\u306b\u3059\u304e\u307e\u305b\u3093\u3002\u578b\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u306f\u9759\u7684\u89e3\u6790\u306e\u305f\u3081\u306e\u30d2\u30f3\u30c8\u3067\u3042\u3063\u3066\u3001\u5b9f\u884c\u6642\u306b\u306f\u4e00\u5207\u30c1\u30a7\u30c3\u30af\u3055\u308c\u307e\u305b\u3093\u3002<\/p>\n<pre class=\"lang:default decode:true\">from dataclasses import dataclass\n\n@dataclass\nclass User:\n    id: int\n    name: str\n\n# int \u306e\u306f\u305a\u306e id \u306b\u6587\u5b57\u5217\u3092\u6e21\u3057\u3066\u3082\u3001dataclass \u306f\u4f55\u3082\u8a00\u308f\u306a\u3044\nu = User(id=\"not-an-int\", name=123)\nprint(u)  # User(id='not-an-int', name=123)<\/pre>\n<p>\u4e00\u65b9 Pydantic \u306f\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u751f\u6210\u6642\u306b\u578b\u3092\u691c\u8a3c\u3057\u3001\u5fc5\u8981\u306a\u3089\u5909\u63db\uff08\u578b\u5f37\u5236\uff09\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"lang:default decode:true\">from pydantic import BaseModel\n\nclass User(BaseModel):\n    id: int\n    name: str\n\nprint(User(id=\"10\", name=\"Alice\"))  # id=10 name='Alice'\uff08\"10\"\u219210\uff09\nUser(id=\"abc\", name=\"Alice\")         # ValidationError<\/pre>\n<p>\u3053\u306e\u4e00\u70b9\u3060\u3051\u3067\u3082\u3001\u4f7f\u3044\u3069\u3053\u308d\u304c\u5206\u304b\u308c\u307e\u3059\u3002<\/p>\n<h2>\u6bd4\u8f03\u8868<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u89b3\u70b9<\/th>\n<th>dataclass<\/th>\n<th>Pydantic (v2)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u6a19\u6e96\u30e9\u30a4\u30d6\u30e9\u30ea<\/td>\n<td>\u25cb\uff08<code>dataclasses<\/code>\uff09<\/td>\n<td>\u00d7\uff08\u5916\u90e8\u4f9d\u5b58\uff09<\/td>\n<\/tr>\n<tr>\n<td>\u5b9f\u884c\u6642\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3<\/td>\n<td>\u306a\u3057<\/td>\n<td>\u3042\u308a<\/td>\n<\/tr>\n<tr>\n<td>\u578b\u5f37\u5236\uff08coercion\uff09<\/td>\n<td>\u306a\u3057<\/td>\n<td>\u3042\u308a\uff08<code>strict<\/code> \u3067\u6291\u5236\u53ef\uff09<\/td>\n<\/tr>\n<tr>\n<td>JSON \u30b7\u30ea\u30a2\u30e9\u30a4\u30ba<\/td>\n<td>\u624b\u52d5\uff08<code>asdict<\/code> \u7b49\uff09<\/td>\n<td><code>model_dump()<\/code> \/ <code>model_dump_json()<\/code><\/td>\n<\/tr>\n<tr>\n<td>JSON \u30c7\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba<\/td>\n<td>\u624b\u52d5<\/td>\n<td><code>model_validate()<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u30cd\u30b9\u30c8\u69cb\u9020\u306e\u691c\u8a3c<\/td>\n<td>\u81ea\u524d\u5b9f\u88c5<\/td>\n<td>\u81ea\u52d5\u3067\u518d\u5e30\u691c\u8a3c<\/td>\n<\/tr>\n<tr>\n<td>JSON Schema \u51fa\u529b<\/td>\n<td>\u306a\u3057<\/td>\n<td><code>model_json_schema()<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u751f\u6210\u901f\u5ea6<\/td>\n<td>\u901f\u3044<\/td>\n<td>\u691c\u8a3c\u30b3\u30b9\u30c8\u304c\u4e57\u308b<\/td>\n<\/tr>\n<tr>\n<td>\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0<\/td>\n<td>\u6a19\u6e96<\/td>\n<td>FastAPI \u7b49\u3068\u5bc6\u7d50\u5408<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>dataclass \u304c\u5411\u304f\u30b1\u30fc\u30b9<\/h2>\n<h3>1. \u5b8c\u5168\u306b\u5185\u90e8\u3067\u9589\u3058\u305f\u30c7\u30fc\u30bf\u306e\u5165\u308c\u7269<\/h3>\n<p>\u95a2\u6570\u306e\u623b\u308a\u5024\u3092\u307e\u3068\u3081\u305f\u3044\u3001\u8a2d\u5b9a\u5024\u3092\u30b0\u30eb\u30fc\u30d4\u30f3\u30b0\u3057\u305f\u3044\u3068\u3044\u3063\u305f\u300c\u81ea\u5206\u306e\u30b3\u30fc\u30c9\u306e\u4e2d\u3067\u3057\u304b\u89e6\u3089\u306a\u3044\u30c7\u30fc\u30bf\u300d\u306b\u306f dataclass \u304c\u6700\u9069\u3067\u3059\u3002\u5916\u90e8\u5165\u529b\u3067\u306f\u306a\u3044\u306e\u3067\u691c\u8a3c\u306f\u4e0d\u8981\u3067\u3001\u4f9d\u5b58\u3082\u5897\u3048\u307e\u305b\u3093\u3002<\/p>\n<pre class=\"lang:default decode:true\">from dataclasses import dataclass, field\n\n@dataclass(frozen=True, slots=True)\nclass Point:\n    x: float\n    y: float\n\n@dataclass\nclass Order:\n    items: list[str] = field(default_factory=list)\n    total: float = 0.0<\/pre>\n<p><code>slots=True<\/code>\uff083.10+\uff09\u3092\u4ed8\u3051\u308b\u3068\u30e1\u30e2\u30ea\u52b9\u7387\u3068\u5c5e\u6027\u30a2\u30af\u30bb\u30b9\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002\u5927\u91cf\u751f\u6210\u3059\u308b\u5024\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306b\u6709\u52b9\u3067\u3059\u3002<\/p>\n<h3>2. \u4f9d\u5b58\u3092\u5897\u3084\u3057\u305f\u304f\u306a\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u30fbCLI<\/h3>\n<p>\u914d\u5e03\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u3084\u5c0f\u3055\u306a CLI \u30c4\u30fc\u30eb\u3067\u300cPydantic \u3092\u8ffd\u52a0\u3059\u308b\u307b\u3069\u3067\u306f\u306a\u3044\u300d\u5834\u5408\u3001\u6a19\u6e96\u306e dataclass \u306a\u3089\u4f9d\u5b58\u30bc\u30ed\u3067\u6e08\u307f\u307e\u3059\u3002<\/p>\n<h3>3. \u691c\u8a3c\u306f\u578b\u30c1\u30a7\u30c3\u30ab\u3067\u5341\u5206\u306a\u5834\u9762<\/h3>\n<p>\u5165\u529b\u5143\u304c\u81ea\u5206\u306e\u30b3\u30fc\u30c9\u306b\u9650\u3089\u308c\u3001mypy \/ pyright \u3067\u578b\u304c\u62c5\u4fdd\u3067\u304d\u308b\u306a\u3089\u3001\u5b9f\u884c\u6642\u691c\u8a3c\u306e\u30b3\u30b9\u30c8\u3092\u6255\u3046\u7406\u7531\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<h2>Pydantic \u304c\u5411\u304f\u30b1\u30fc\u30b9<\/h2>\n<h3>1. \u5916\u90e8\u5165\u529b\u306e\u5883\u754c<\/h3>\n<p>HTTP \u30ea\u30af\u30a8\u30b9\u30c8\u30dc\u30c7\u30a3\u3001\u74b0\u5883\u5909\u6570\u3001\u8a2d\u5b9a\u30d5\u30a1\u30a4\u30eb\u3001\u5916\u90e8 API \u306e\u30ec\u30b9\u30dd\u30f3\u30b9\u306a\u3069\u3001\u5f62\u304c\u5d29\u308c\u3046\u308b\u5165\u529b\u306f\u3001\u5883\u754c\u3067\u4e00\u5ea6 Pydantic \u306b\u901a\u305b\u3070\u4ee5\u964d\u306f\u578b\u304c\u4fdd\u8a3c\u3055\u308c\u305f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3068\u3057\u3066\u5b89\u5fc3\u3057\u3066\u6271\u3048\u307e\u3059\u3002<\/p>\n<pre class=\"lang:default decode:true\">from pydantic import BaseModel, Field, field_validator\n\nclass SignupRequest(BaseModel):\n    email: str\n    age: int = Field(ge=0, le=150)\n    tags: list[str] = []\n\n    @field_validator(\"email\")\n    @classmethod\n    def must_have_at(cls, v: str) -&gt; str:\n        if \"@\" not in v:\n            raise ValueError(\"invalid email\")\n        return v\n\nreq = SignupRequest.model_validate(\n    {\"email\": \"a@example.com\", \"age\": \"30\", \"tags\": [\"x\"]}\n)<\/pre>\n<h3>2. \u30cd\u30b9\u30c8\u3057\u305f\u69cb\u9020\u3092\u307e\u3068\u3081\u3066\u691c\u8a3c\u3057\u305f\u3044<\/h3>\n<pre class=\"lang:default decode:true\">class Address(BaseModel):\n    city: str\n    zipcode: str\n\nclass Company(BaseModel):\n    name: str\n    address: Address          # \u30cd\u30b9\u30c8\u3082\u81ea\u52d5\u691c\u8a3c\n    members: list[SignupRequest]<\/pre>\n<p>Pydantic \u306f\u30cd\u30b9\u30c8\u3057\u305f\u30e2\u30c7\u30eb\u3092\u518d\u5e30\u7684\u306b\u691c\u8a3c\u3057\u307e\u3059\u3002dataclass \u3067\u540c\u3058\u3053\u3068\u3092\u3084\u308b\u3068\u5404\u968e\u5c64\u306b\u624b\u3067\u691c\u8a3c\u3092\u66f8\u304f\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h3>3. \u30b7\u30ea\u30a2\u30e9\u30a4\u30ba \/ JSON Schema \u304c\u6b32\u3057\u3044<\/h3>\n<p><code>model_dump()<\/code> \/ <code>model_dump_json()<\/code> \u3067\u306e\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba\u3001<code>model_json_schema()<\/code> \u3067\u306e JSON Schema \u81ea\u52d5\u751f\u6210\u306f\u3001API \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u751f\u6210\u3084\u30d5\u30ed\u30f3\u30c8\u3068\u306e\u5951\u7d04\u5b9a\u7fa9\u3067\u6b66\u5668\u306b\u306a\u308a\u307e\u3059\u3002FastAPI \u304c Pydantic \u3092\u63a1\u7528\u3057\u3066\u3044\u308b\u306e\u306f\u3053\u306e\u6d41\u308c\u3067\u3059\u3002<\/p>\n<h2>\u4e2d\u9593\u306e\u9078\u629e\u80a2\uff1aPydantic \u306e dataclass<\/h2>\n<p>Pydantic \u306b\u306f\u300cdataclass \u306e\u898b\u305f\u76ee\u306e\u307e\u307e\u691c\u8a3c\u3060\u3051\u8db3\u3059\u300d\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3042\u308a\u307e\u3059\u3002\u65e2\u5b58\u30b3\u30fc\u30c9\u304b\u3089\u6bb5\u968e\u7684\u306b\u79fb\u884c\u3057\u305f\u3044\u3068\u304d\u306b\u4fbf\u5229\u3067\u3059\u3002<\/p>\n<pre class=\"lang:default decode:true\">from pydantic.dataclasses import dataclass\n\n@dataclass\nclass User:\n    id: int\n    name: str\n\nUser(id=\"10\", name=\"Alice\")  # \u691c\u8a3c\u30fb\u5909\u63db\u304c\u52b9\u304f<\/pre>\n<p>\u5168\u9762\u7684\u306b <code>BaseModel<\/code> \u3078\u79fb\u3059\u306e\u3092\u305f\u3081\u3089\u3046\u30b1\u30fc\u30b9\u306e\u6298\u8877\u6848\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u6ce8\u610f\u70b9<\/h2>\n<p>Pydantic v2 \u306f\u30b3\u30a2\u90e8\u5206\u304c Rust \u88fd\uff08<code>pydantic-core<\/code>\uff09\u306b\u306a\u308a\u3001v1 \u304b\u3089\u5927\u5e45\u306b\u9ad8\u901f\u5316\u3057\u307e\u3057\u305f\u3002\u3068\u306f\u3044\u3048\u300c\u691c\u8a3c\u3059\u308b\u300d\u4ee5\u4e0a\u3001\u305f\u3060\u4ee3\u5165\u3059\u308b\u3060\u3051\u306e dataclass \u3088\u308a\u306f\u5fc5\u305a\u30b3\u30b9\u30c8\u304c\u4e57\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u30db\u30c3\u30c8\u30d1\u30b9\u3067\u5927\u91cf\u306b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u308b\u306a\u3089 dataclass\uff08+ <code>slots<\/code>\uff09<\/li>\n<li>\u5883\u754c\u3067 1 \u56de\u691c\u8a3c\u3057\u3066\u4ee5\u964d\u306f\u5185\u90e8\u3067\u4f7f\u3044\u56de\u3059\u306a\u3089 Pydantic \u3067\u3082\u4f53\u611f\u5dee\u306f\u307b\u307c\u306a\u3044<\/li>\n<\/ul>\n<p>\u300cPydantic \u306f\u9045\u3044\u304b\u3089\u907f\u3051\u308b\u300d\u3067\u306f\u306a\u304f\u3001\u300c\u691c\u8a3c\u304c\u8981\u3089\u306a\u3044\u5834\u6240\u3067\u691c\u8a3c\u3092\u6255\u308f\u306a\u3044\u300d\u3068\u3044\u3046\u767a\u60f3\u304c\u6b63\u3057\u3044\u3067\u3059\u3002<\/p>\n<h2>\u78ba\u8a8d\u65b9\u6cd5<\/h2>\n<pre class=\"lang:default decode:true\">from dataclasses import dataclass\n@dataclass\nclass D:\n    n: int\nprint(D(n=\"x\"))  # \u30a8\u30e9\u30fc\u306b\u306a\u3089\u306a\u3044 \u2192 D(n='x')<\/pre>\n<pre class=\"lang:default decode:true\">from pydantic import BaseModel\nclass P(BaseModel):\n    n: int\nprint(P(n=\"5\"))  # n=5\uff08\u5909\u63db\u3055\u308c\u308b\uff09\nprint(P(n=\"x\"))  # ValidationError<\/pre>\n<p>\u578b\u5f37\u5236\u3092\u53b3\u3057\u304f\u3057\u305f\u3044\u5834\u5408\u306f <code>model_config = ConfigDict(strict=True)<\/code> \u3092\u8a2d\u5b9a\u3059\u308b\u3068\u3001<code>\"5\"<\/code> \u2192 <code>5<\/code> \u306e\u3088\u3046\u306a\u6697\u9ed9\u5909\u63db\u3092\u7981\u6b62\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u6ce8\u610f\u70b9<\/h2>\n<ul>\n<li><strong>Pydantic v1 \u3068 v2 \u3067 API \u304c\u5225\u7269<\/strong>\u3067\u3059\uff08<code>parse_obj<\/code> \u2192 <code>model_validate<\/code>\u3001<code>.dict()<\/code> \u2192 <code>model_dump()<\/code>\u3001<code>@validator<\/code> \u2192 <code>@field_validator<\/code>\uff09\u3002\u53e4\u3044\u8a18\u4e8b\u306e\u30b3\u30d4\u30da\u306f\u52d5\u304d\u307e\u305b\u3093\u3002<\/li>\n<li>\u53ef\u5909\u30c7\u30d5\u30a9\u30eb\u30c8\uff08list \/ dict\uff09\u306f dataclass \u3067\u306f <code>default_factory<\/code> \u5fc5\u9808\u3067\u3059\u3002<\/li>\n<li>\u300c\u3068\u308a\u3042\u3048\u305a\u5168\u90e8 Pydantic\u300d\u3082\u300c\u9811\u306a\u306b dataclass \u3060\u3051\u300d\u3082\u6975\u7aef\u3067\u3059\u3002\u30ec\u30a4\u30e4\u3054\u3068\u306b\u4f7f\u3044\u5206\u3051\u308b\u306e\u304c\u672c\u7b4b\u3067\u3059\u3002<\/li>\n<\/ul>\n<h2>\u307e\u3068\u3081<\/h2>\n<ul>\n<li>\u5224\u65ad\u8ef8\u306f\u4e00\u3064\u3001<strong>\u300c\u5b9f\u884c\u6642\u306b\u691c\u8a3c\u304c\u8981\u308b\u304b\u300d<\/strong>\u3002<\/li>\n<li>\u5185\u90e8\u30c7\u30fc\u30bf\u30fb\u5024\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u30fb\u4f9d\u5b58\u3092\u5897\u3084\u3057\u305f\u304f\u306a\u3044\u5834\u6240 \u2192 <strong>dataclass<\/strong>\uff08<code>slots=True<\/code> \u3082\u691c\u8a0e\uff09<\/li>\n<li>\u5916\u90e8\u5165\u529b\u306e\u5883\u754c\u30fb\u30b7\u30ea\u30a2\u30e9\u30a4\u30ba\u30fb\u30b9\u30ad\u30fc\u30de\u751f\u6210 \u2192 <strong>Pydantic v2<\/strong><\/li>\n<li>\u8ff7\u3063\u305f\u3089\u300c\u30a2\u30d7\u30ea\u306e\u5916\u5468\u306f Pydantic\u3001\u5185\u5074\u306f dataclass\u300d\u3068\u3044\u3046\u4e8c\u5c64\u69cb\u6210\u304c\u7121\u96e3<\/li>\n<li>\u6bb5\u968e\u79fb\u884c\u306b\u306f <code>pydantic.dataclasses.dataclass<\/code> \u3068\u3044\u3046\u6298\u8877\u6848\u3082\u3042\u308b<\/li>\n<\/ul>\n<p>\u9053\u5177\u3068\u3057\u3066\u306e\u512a\u52a3\u3067\u306f\u306a\u304f\u3001\u300c\u305d\u306e\u30c7\u30fc\u30bf\u304c\u4fe1\u7528\u3067\u304d\u308b\u5165\u529b\u304b\u300d\u3067\u9078\u3076\u3068\u8ff7\u3044\u307e\u305b\u3093\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python \u3067\u30c7\u30fc\u30bf\u3092\u300c\u578b\u3064\u304d\u306e\u69cb\u9020\u4f53\u300d\u3068\u3057\u3066\u6271\u3044\u305f\u3044\u3068\u304d\u3001\u6a19\u6e96\u30e9\u30a4\u30d6\u30e9\u30ea\u306e dataclasses \u3068\u30b5\u30fc\u30c9\u30d1\u30fc\u30c6\u30a3\u306e Pydantic \u306e\u3069\u3061\u3089\u3092\u4f7f\u3046\u304b\u306f\u3001\u3088\u304f\u3042\u308b\u5224\u65ad\u30dd\u30a4\u30f3\u30c8\u3067\u3059\u3002\u898b\u305f\u76ee\u304c\u4f3c\u3066\u3044\u308b\u305f\u3081\u6df7\u540c\u3055\u308c\u304c\u3061\u3067\u3059\u304c\u3001\u8a2d\u8a08\u601d\u60f3\u306f\u307e\u2026<\/p>\n","protected":false},"author":1,"featured_media":3503,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[38],"tags":[64,147,376],"class_list":["post-3504","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python-memorandum","tag-api","tag-python","tag-376"],"veu_head_title_object":{"title":"","add_site_title":""},"jetpack_publicize_connections":[],"jetpack-related-posts":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/qol-kk.com\/wp2\/wp-content\/uploads\/2026\/10\/20261006-plan051-thumbnail.jpg","_links":{"self":[{"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/posts\/3504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/comments?post=3504"}],"version-history":[{"count":1,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/posts\/3504\/revisions"}],"predecessor-version":[{"id":3543,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/posts\/3504\/revisions\/3543"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/media\/3503"}],"wp:attachment":[{"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/media?parent=3504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/categories?post=3504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qol-kk.com\/wp2\/wp-json\/wp\/v2\/tags?post=3504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}