Dalam hal ini `item_id` didefinisikan sebagai `int`.

/// check | Periksa

Penyunting kode anda bisa membantu periksa di dalam fungsi seperti pemeriksaan kesalahan, kelengkapan kode, dll.

///

## <abbr title="juga disebut: serialization, parsing, marshalling">Konversi</abbr> data

Dengan menggunakannya di dalam editor, benar-benar memperlihatkan manfaat dari FastAPI, melihat bagaimana sedikitnya kode yang harus kamu tulis, semua pengecekan tipe, pelengkapan otomatis, dll.

---

## Install FastAPI

Langkah pertama adalah dengan meng-install FastAPI.

Untuk tutorial, kamu mungkin hendak meng-installnya dengan semua pilihan fitur dan dependensinya:

<div class="termy">

      <outputDirectory>lib/jline-native</outputDirectory>
      <includes>
        <include>**/*.so</include>
        <include>**/*.jnilib</include>
        <include>**/*.dll</include>
      </includes>
    </fileSet>
	<fileSet>
      <directory>src/assembly/maven/bin</directory>
      <outputDirectory>bin</outputDirectory>
      <includes>
        <include>mvn</include>

lingsås","alvesta","aneby","arboga","arjeplog","arvidsjaur","arvika","askersund","avesta","bengtsfors","berg","bjurholm","bjuv","boden","bollebygd","bollnäs","borgholm","borlänge","borås","botkyrka","boxholm","bromölla","bräcke","burlöv","båstad","dals-ed","danderyd","degerfors","dorotea","eda","ekerö","eksjö","emmaboda","enköpings","eskilstuna","eslövs","essunga","fagersta","falkenberg","falköping","falu","filipstad","finspång","flen","forshaga","färgelanda","gagnef","gislaved","gnesta","gnosjö...

### Ringkasan

Singkatnya, anda mendeklarasikan **sekali** jenis parameter, struktur, dll. sebagai parameter fungsi.

Anda melakukannya dengan tipe standar moderen Python.

Anda tidak perlu belajar sintaksis, metode, *classs* baru dari *library* tertentu, dll.

Cukup **Python** standar.

Sebagai contoh untuk `int`:

```Python
item_id: int
```

        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
        (new), are missing on your machine, `import tensorflow` will print a
        warning message.
*   The `tensorflow` pip package is built with CUDA 10.1 and cuDNN 7.6.
*   `tf.keras`

build:macos --cxxopt=-std=c++17
build:macos --host_cxxopt=-std=c++17
build:windows --cxxopt=/std:c++17
build:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
build:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
build:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible

				"audio/amr-wb",
				"audio/amr-wb+",
				"audio/asc",
				"audio/basic",
				"audio/bv16",
				"audio/bv32",
				"audio/clearmode",
				"audio/cn",
				"audio/dat12",
				"audio/dls",
				"audio/dsr-es201108",
				"audio/dsr-es202050",
				"audio/dsr-es202211",
				"audio/dsr-es202212",
				"audio/dvi4",
				"audio/eac3",
				"audio/evrc",
				"audio/evrc-qcp",

b-yrettn--nx?d&ar?isemmejh321,lom?r&of?øf??år??g&gyr?nats??i&meuv&ejsem&aan?åån??sekaal??rjea??j&d&ef?oks??les??k&er&aom?åom??hgna&ark?årk??iregnir?kot!s??s&ig?uaf???l&bmab?kyb?l&av?ehtats??oh??m&it?ojt?øjt??n&arg?g&os?øs??meh?reil?te?ummok?yrb??r&dils-erts&ev?y&o?ø???ua?vod??sa&ans?åns??t&robraa?spaav??urg??f&62ats-ugsrop--nx?a&10-ujvrekkhr--nx?7k-tajjrv-attm--nx??o!.sg?h??s!.sg??v!.sg???g&5aly-yr&n--nx?v--nx??a&llor?ve&gnal?lreb???n&av!snellu??org??oks&die?m&or?ør??ner&ol?øl??r&o?ø???r&eb!adna...

"ambdues", "apa", "aquell", "aquella", "aquelles", "aquells", "aquest", "aquesta", "aquestes", "aquests", "aquí", "baix", "cada", "cadascú", "cadascuna", "cadascunes", "cadascuns", "com", "contra", "d'un", "d'una", "d'unes", "d'uns", "dalt", "de", "del", "dels", "des", "després", "dins", "dintre", "donat", "doncs", "durant", "e", "eh", "el", "els", "em", "en", "encara", "ens", "entre", "érem", "eren", "éreu", "es", "és", "esta", "està", "estàvem", "estaven", "estàveu", "esteu", "et", "etc", "ets", "fins",...