application/x-sv4cpio          sv4cpio          #
application/x-sv4crc           sv4crc           #
application/x-tar              tar              # UNIX Tape Archive
application/x-tcl              tcl              # TCL Programming Language
application/x-tex              tex              # Tex/LaTeX
application/x-texinfo          texinfo texi     # TexInfo
application/x-troff            t tr roff        # Troff file

## Open Source SDK Generators { #open-source-sdk-generators }

A versatile option is the <a href="https://openapi-generator.tech/" class="external-link" target="_blank">OpenAPI Generator</a>, which supports **many programming languages** and can generate SDKs from your OpenAPI specification.

## What is "Dependency Injection" { #what-is-dependency-injection }

**"Dependency Injection"** means, in programming, that there is a way for your code (in this case, your *path operation functions*) to declare things that it requires to work and use: "dependencies".

That's why it makes a lot of sense to use asynchronous ⏸🔀⏯ code for web APIs.

This kind of asynchronicity is what made NodeJS popular (even though NodeJS is not parallel) and that's the strength of Go as a programming language.

And that's the same level of performance you get with **FastAPI**.

</p>

<h2 id="conclusion">Conclusion</h2>

<p>
Go programmers writing data-race-free programs can rely on
sequentially consistent execution of those programs,
just as in essentially all other modern programming languages.
</p>

<p>
When it comes to programs with races,
both programmers and compilers should remember the advice:
don't be clever.

Bunun yerine, "asenkron" bir sistem olarak, bir kez bittiğinde,  bilgisayarın / programın yapması gerekeni bitirmesi için biraz (birkaç mikrosaniye) sırada bekleyebilir ve ardından sonuçları almak için geri gelebilir ve onlarla çalışmaya devam edebilir.

    Check out the
    [guide](https://www.tensorflow.org/beta/guide/distribute_strategy) for more
    details.
*   Functions, not Sessions. The traditional declarative programming model of
    building a graph and executing it via a `tf.Session` is discouraged, and
    replaced with by writing regular Python functions. Using the `tf.function`