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docs/zh-hant/docs/environment-variables.md
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docs/de/docs/tutorial/extra-models.md
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docs/en/docs/virtual-environments.md
<div class="termy"> ```console $ which python /home/user/code/awesome-project/.venv/bin/python ``` </div> If it shows the `python` binary at `.venv/bin/python`, inside of your project (in this case `awesome-project`), then it worked. 🎉 //// //// tab | Windows PowerShell <div class="termy"> ```console $ Get-Command python
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docs/es/docs/virtual-environments.md
<div class="termy"> ```console $ which python /home/user/code/awesome-project/.venv/bin/python ``` </div> Si muestra el binario de `python` en `.venv/bin/python`, dentro de tu proyecto (en este caso `awesome-project`), entonces funcionó. 🎉 //// //// tab | Windows PowerShell <div class="termy"> ```console $ Get-Command python
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docs/pt/docs/virtual-environments.md
<div class="termy"> ```console $ which python /home/user/code/awesome-project/.venv/bin/python ``` </div> Se ele mostrar o binário `python` em `.venv/bin/python`, dentro do seu projeto (neste caso `awesome-project`), então funcionou. 🎉 //// //// tab | Windows PowerShell <div class="termy"> ```console $ Get-Command python
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docs/en/docs/tutorial/query-params-str-validations.md
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docs/uk/docs/index.md
Ви робите це за допомогою стандартних сучасних типів Python. Вам не потрібно вивчати новий синтаксис, методи чи класи конкретної бібліотеки тощо. Використовуючи стандартний **Python**. Наприклад, для `int`: ```Python item_id: int ``` або для більш складної моделі `Item`: ```Python item: Item ``` ...і з цим єдиним оголошенням Ви отримуєте:
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docs/ja/docs/environment-variables.md
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tensorflow/__init__.py
# module. # pylint: disable=g-bad-import-order from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.platform import flags # pylint: disable=g-import-not-at-top from tensorflow.python.platform import app # pylint: disable=g-import-not-at-top app.flags = flags # These symbols appear because we import the python package which # in turn imports from tensorflow.core and tensorflow.python. They
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 1.4K bytes - Viewed (0) -
docs/en/docs/tutorial/extra-models.md
So, if we create a Pydantic object `user_in` like: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` and then we call: ```Python user_dict = user_in.dict() ``` we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object). And if we call: ```Python print(user_dict) ```
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