### Concorrência + Paralelismo: Web + Aprendizado de Máquina { #concurrency-parallelism-web-machine-learning }

Com **FastAPI** você pode levar a vantagem da concorrência que é muito comum para desenvolvimento web (o mesmo atrativo de NodeJS).

### Конкурентность лучше параллелизма? { #is-concurrency-better-than-parallelism }

Нет! Мораль истории не в этом.

* authorization header
* `Authorization` header
* forwarded header

* dependency injection system
* dependency
* dependable
* dependant

* I/O bound
* CPU bound
* concurrency
* parallelism
* multiprocessing

* env var
* environment variable
* `PATH`
* `PATH` variable

* authentication
* authentication provider
* authorization
* authorization form

### Concurrencia + Paralelismo: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

Con **FastAPI** puedes aprovechar la concurrencia que es muy común para el desarrollo web (la misma atracción principal de NodeJS).

### Чи краща рівночасність за паралелізм? { #is-concurrency-better-than-parallelism }

Ні! Це не мораль історії.

* the `Authorization` header
* the forwarded header

* the dependency injection system
* the dependency
* the dependable
* the dependant

* I/O bound
* CPU bound
* concurrency
* parallelism
* multiprocessing

* the env var
* the environment variable
* the `PATH`
* the `PATH` variable

* the authentication
* the authentication provider
* the authorization

### Ist Nebenläufigkeit besser als Parallelität? { #is-concurrency-better-than-parallelism }

Nein! Das ist nicht die Moral der Geschichte.

* authorization header
* `Authorization` header
* forwarded header

* dependency injection system
* dependency
* dependable
* dependant

* I/O bound
* CPU bound
* concurrency
* parallelism
* multiprocessing

* env var
* environment variable
* `PATH`
* `PATH` variable

* authentication
* authentication provider
* authorization
* authorization form

  
  to package `k8s.io/kube-scheduler/framework`. Users should update import paths. The interfaces don't change.
  

      converts them into `NoOp`s instead.

*   `tf.data`

    * `tf.data` now has an `autotune_options.initial_parallelism` option to
      control the initial parallelism setting used by autotune before the data
      pipeline has started running. The default is 16. A lower value reduces
      initial memory usage, while a higher value improves startup time.

## Keras