* `datetime.datetime`:
    * A Python `datetime.datetime`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python `datetime.date`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15`.
* `datetime.time`:
    * A Python `datetime.time`.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.

For example, it doesn't receive `datetime` objects, as those are not compatible with JSON.

So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.

You can use the `jsonable_encoder` to convert the input data to data that can be stored as JSON (e.g. with a NoSQL database). For example, converting `datetime` to `str`.

{* ../../docs_src/body_updates/tutorial001_py310.py hl[28:33] *}

`PUT` is used to receive data that should replace the existing data.

### Warning about replacing { #warning-about-replacing }

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

            return new Date(time);
        } catch (final Exception e) {
            return null;
        }
    }

    /**
     * Formats a Date object to ISO datetime string format in UTC timezone.
     *
     * @param date the date to format
     * @return formatted date string, or empty string if date is null
     */
    public static String formatDate(final Date date) {

    * Конвертація Python типів (`str`, `int`, `float`, `bool`, `list`, тощо).
    * `datetime` об'єкти.
    * `UUID` об'єкти.
    * Моделі бази даних.
    * ...та багато іншого.
* Автоматичну інтерактивну документацію API, включаючи 2 альтернативні інтерфейси користувача:
    * Swagger UI.
    * ReDoc.

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model

    * Chuyển đổi kiểu dữ liệu Python (`str`, `int`, `float`, `bool`, `list`,...).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...và nhiều hơn thế.
* Tự động tạo tài liệu tương tác API, bao gồm 2 giao diện người dùng:
    * Swagger UI.
    * ReDoc.

---

    * 🎚.
    * 📨.
    * 📁.
* <abbr title="also known as: serialization, parsing, marshalling">🛠️</abbr> 🔢 📊: 🗜 ⚪️➡️ 🐍 💽 &amp; 🆎 🕸 💽 (🎻):
    * 🗜 🐍 🆎 (`str`, `int`, `float`, `bool`, `list`, ♒️).
    * `datetime` 🎚.
    * `UUID` 🎚.
    * 💽 🏷.
    * ...&amp; 📚 🌖.
* 🏧 🎓 🛠️ 🧾, 🔌 2️⃣ 🎛 👩‍💻 🔢:
    * 🦁 🎚.
    * 📄.

---

👟 🔙 ⏮️ 📟 🖼, **FastAPI** 🔜:

    -   קבצים.
-   <abbr title="ידועה גם כ: פרסור, סיריאליזציה">המרה</abbr> של מידע פלט: המרה של מידע וטיפוסים מפייתון למידע רשת (כ - JSON):
    -   המירו טיפוסי פייתון (`str`, `int`, `float`, `bool`, `list`, etc).
    -   עצמי `datetime`.
    -   עצמי `UUID`.
    -   מודלי בסיסי נתונים.
    -   ...ורבים אחרים.
-   תיעוד API אוטומטי ואינטרקטיבית כולל שתי אלטרנטיבות לממשק המשתמש:
    -   Swagger UI.
    -   ReDoc.

---