Eles estão, mais ou menos, em pontas opostas, um complementando o outro.

Requests tem um projeto muito simples e intuitivo, fácil de usar, com padrões sensíveis. Mas ao mesmo tempo, é muito poderoso e customizável.

É por isso que, como dito no site oficial:

> Requests é um dos pacotes Python mais baixados de todos os tempos

O jeito de usar é muito simples. Por exemplo, para fazer uma requisição `GET`, você deveria escrever:

```Python

  
  ---
  apiVersion: admissionregistration.k8s.io/v1
  kind: ValidatingAdmissionPolicy
  metadata:

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

# addition to this core set of ops, user libraries which are loaded (via
# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no
# filesystem search takes place, since libtensorflow_framework.so has already

* rkt: Force `rkt fetch` to fetch from remote to conform the image pull policy. ([#31378](https://github.com/kubernetes/kubernetes/pull/31378), [@yifan-gu](https://github.com/yifan-gu))
* Allow services which use same port, different protocol to use the same nodePort for both ([#30253](https://github.com/kubernetes/kubernetes/pull/30253), [@AdoHe](https://github.com/AdoHe))

    request body is not used to determine the cache key, so you must manually add cache-relevant
    data to the override URL. For example, you could add a `request-body-sha256` query parameter so
    requests with the same POST data get the same cache entry.

 *  New: `HttpLoggingInterceptor.redactQueryParams()` configures the query parameters to redact

						return nil, setupType,
							config.ErrInvalidErasureEndpoints(nil).Msg(fmt.Sprintf("same path '%s' can not be served by different port on same address", endpoint.Path))
					}
					pathIPMap[endpoint.Path] = IPSet.Union(hostIPSet)
				} else {
					pathIPMap[endpoint.Path] = hostIPSet
				}
			}
		}

		// Check whether same path is used for more than 1 local endpoints.
		{

package bytes

import (
	"internal/bytealg"
	"math/bits"
	"unicode"
	"unicode/utf8"
	_ "unsafe" // for linkname
)

// Equal reports whether a and b
// are the same length and contain the same bytes.
// A nil argument is equivalent to an empty slice.
func Equal(a, b []byte) bool {
	// Neither cmd/compile nor gccgo allocates for these string conversions.
	return string(a) == string(b)
}

Die Art und Weise, wie Sie es verwenden, ist sehr einfach. Um beispielsweise einen `GET`-Request zu machen, würden Sie schreiben:

```Python
response = requests.get("http://example.com/some/url")
```

Die entsprechende *Pfadoperation* der FastAPI-API könnte wie folgt aussehen:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

 * data using an unpredictable seed should normally be enough to thwart this attack.
 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *