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  1. docs/en/docs/alternatives.md

    Pydantic is a library to define data validation, serialization and documentation (using JSON Schema) based on Python type hints.
    
    That makes it extremely intuitive.
    
    It is comparable to Marshmallow. Although it's faster than Marshmallow in benchmarks. And as it is based on the same Python type hints, the editor support is great.
    
    !!! check "**FastAPI** uses it to"
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  2. docs/en/docs/deployment/concepts.md

    An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.
    
    If you have an API that does a comparable amount of computations every time and you have a lot of clients, then the **CPU utilization** will probably *also be stable* (instead of constantly going up and down quickly).
    
    ### Examples of Replication Tools and Strategies
    
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  3. docs/en/docs/async.md

    But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".
    
    ## Conclusion
    
    Let's see the same phrase from above:
    
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  4. docs/en/docs/deployment/docker.md

    A container image is comparable to the **program** file and contents, e.g. `python` and some file `main.py`.
    
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  5. docs/es/docs/async.md

    Pero toda esta funcionalidad de usar código asincrónico con `async` y `await` se resume muchas veces como usar "coroutines". Es comparable a la característica principal de Go, las "Goroutines".
    
    ## Conclusión
    
    Veamos la misma frase de arriba:
    
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  6. docs/fr/docs/alternatives.md

    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
    basé sur les mêmes type hints Python, le support de l'éditeur est grand.
    
    !!! check "**FastAPI** l'utilise pour"
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