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  1. docs/fr/docs/history-design-future.md

    Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.
    
    L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.
    
    Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :
    
    <blockquote markdown="1">
    
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  2. docs/debugging/inspect/main.go

    //
    // You should have received a copy of the GNU Affero General Public License
    // along with this program.  If not, see <http://www.gnu.org/licenses/>.
    
    package main
    
    import (
    	"bufio"
    	crand "crypto/rand"
    	"crypto/rsa"
    	"crypto/x509"
    	"encoding/json"
    	"encoding/pem"
    	"errors"
    	"flag"
    	"fmt"
    	"io"
    	"os"
    	"strings"
    	"time"
    )
    
    var (
    Go
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  3. lib/time/zoneinfo.zip

    Africa/Dar_es_Salaam Africa/Djibouti Africa/Douala Africa/El_Aaiun Africa/Freetown Africa/Gaborone Africa/Harare Africa/Johannesburg Africa/Juba Africa/Kampala Africa/Khartoum Africa/Kigali Africa/Kinshasa Africa/Lagos Africa/Libreville Africa/Lome Africa/Luanda Africa/Lubumbashi Africa/Lusaka Africa/Malabo Africa/Maputo Africa/Maseru Africa/Mbabane Africa/Mogadishu Africa/Monrovia Africa/Nairobi Africa/Ndjamena Africa/Niamey Africa/Nouakchott Africa/Ouagadougou Africa/Porto-Novo Africa/Sao_Tome Africa/Timbuktu...
    ZIP Archive
    - Registered: Tue Apr 23 11:13:09 GMT 2024
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  4. docs/pt/docs/alternatives.md

    Outro grande recurso necessário pelas APIs é a <abbr title="ler e converter para dados Python">análise</abbr> de dados vindos de requisições.
    
    Webargs é uma ferramente feita para fornecer o que está no topo de vários frameworks, inclusive Flask.
    
    Ele utiliza Marshmallow por baixo para validação de dados. E ele foi criado pelos mesmos desenvolvedores.
    
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  5. api/go1.22.txt

    pkg math/rand/v2, method (*Rand) Int32() int32 #61716
    pkg math/rand/v2, method (*Rand) Int32N(int32) int32 #61716
    pkg math/rand/v2, method (*Rand) Int64() int64 #61716
    pkg math/rand/v2, method (*Rand) Int64N(int64) int64 #61716
    pkg math/rand/v2, method (*Rand) IntN(int) int #61716
    pkg math/rand/v2, method (*Rand) NormFloat64() float64 #61716
    pkg math/rand/v2, method (*Rand) Perm(int) []int #61716
    Plain Text
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  6. docs/en/mkdocs.yml

      social:
      - icon: fontawesome/brands/github-alt
        link: https://github.com/tiangolo/fastapi
      - icon: fontawesome/brands/discord
        link: https://discord.gg/VQjSZaeJmf
      - icon: fontawesome/brands/twitter
        link: https://twitter.com/fastapi
      - icon: fontawesome/brands/linkedin
        link: https://www.linkedin.com/in/tiangolo
      - icon: fontawesome/brands/dev
        link: https://dev.to/tiangolo
    Others
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  7. docs/pt/docs/external-links.md

    # Links externos e Artigos
    
    **FastAPI** tem uma grande comunidade em crescimento constante.
    
    Existem muitas postagens, artigos, ferramentas e projetos relacionados ao **FastAPI**.
    
    Aqui tem uma lista, incompleta, de algumas delas.
    
    !!! tip "Dica"
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  8. docs/fr/docs/alternatives.md

    ## Outils précédents
    
    ### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a>
    
    C'est le framework Python le plus populaire et il bénéficie d'une grande confiance. Il est utilisé pour construire
    des systèmes tel qu'Instagram.
    
    Il est relativement fortement couplé aux bases de données relationnelles (comme MySQL ou PostgreSQL), de sorte qu'il
    Plain Text
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  9. docs/pt/docs/tutorial/encoder.md

    O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.
    
    A função não retorna um grande `str` contendo os dados no formato JSON (como uma string). Mas sim, retorna uma estrutura de dados padrão do Python (por exemplo, um `dict`) com valores e subvalores compatíveis com JSON.
    
    !!! note "Nota"
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  10. docs/tr/docs/async.md

    * **Bilgisayar görüsü**: bir görüntü milyonlarca pikselden oluşur, her pikselin 3 değeri / rengi vardır, bu pikseller üzerinde aynı anda bir şeyler hesaplamayı gerektiren işleme.
    * **Makine Öğrenimi**: Çok sayıda "matris" ve "vektör" çarpımı gerektirir. Sayıları olan ve hepsini aynı anda çarpan büyük bir elektronik tablo düşünün.
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