<small>* Esta estimación está basada en pruebas con un equipo de desarrollo interno construyendo aplicaciones listas para producción.</small>

## Sponsors

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{% if sponsors %}
{% for sponsor in sponsors.gold -%}

Pydantic est une bibliothèque permettant de définir la validation, la sérialisation et la documentation des données (à l'aide de JSON Schema) en se basant sur les Python type hints.

Cela le rend extrêmement intuitif.

Il est comparable à Marshmallow. Bien qu'il soit plus rapide que Marshmallow dans les benchmarks. Et comme il est

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		{"3 somelongkey=\n", nil, false},
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		{"13 key1=haha\n13 key2=nana\n13 key3=kaka\n",
			map[string]string{"key1": "haha", "key2": "nana", "key3": "kaka"}, true},
		{"13 key1=val1\n13 key2=val2\n8 key1=\n",
			map[string]string{"key1": "", "key2": "val2"}, true},
		{"22 GNU.sparse.size=10\n26 GNU.sparse.numblocks=2\n" +

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Schoentgen, Miguel Morin, Mihail Salnikov, Mikalai Drabovich, Mike Arpaia, Mike
Holcomb, minds, monklof, Moses Marin, mpppk, Mr. Metal, Mshr-H, musikisomorphie,
nammbash, Natalia Gimelshein, Nathan Luehr, Nayana-Ibm, Nayana Thorat, neargye,
Neeraj Pradhan, Nehal J Wani, Neil, Nick, Nick Lewycky, Niels Ole Salscheider,
Niklas SilfverströM, Niranjan Hasabnis, Nuka-137, Nutti, ocjosen, olicht,

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