Contents

types-requests 2.32.0.20240914

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Typing stubs for requests

Typing stubs for requests

Stars: 4344, Watchers: 4344, Forks: 1736, Open Issues: 239

The python/typeshed repo was created 9 years ago and the last code push was an hour ago.
The project is very popular with an impressive 4344 github stars!

How to Install types-requests

You can install types-requests using pip

pip install types-requests

or add it to a project with poetry

poetry add types-requests

Package Details

Author
None
License
Apache-2.0
Homepage
https://github.com/python/typeshed
PyPi:
https://pypi.org/project/types-requests/
GitHub Repo:
https://github.com/python/typeshed

Classifiers

No  types-requests  pypi packages just yet.

Errors

A list of common types-requests errors.

Code Examples

Here are some types-requests code examples and snippets.

GitHub Issues

The types-requests package has 239 open issues on GitHub

  • [stubsabot] Bump setuptools to 68.0.*
  • Add is_cli param to pydoc.pyi
  • Rename Generator-like type params to be more obvious
  • Add _file in class SpooledTemporaryFile in tempfile.pyi
  • stripe: add shipping_rate type
  • Type openpyxl functions module and its usages
  • [stubsabot] Bump croniter to 1.4.*
  • multiprocessing.Value.value needs to be defined
  • Add pexpect stubs
  • Remove unnecessary union in the default type in .get() and .pop() methods
  • The type of __default= in dict.pop and dict.get doesn't look right
  • tempfile.SpooledTemporaryFile missing _file attribute
  • Update datetime.pyi for Python3.12
  • [psutil] add settable info property
  • pywin32: PyNETRESOURCE attributes incorrectly typed as read-only

See more issues on GitHub

Related Packages & Articles

pydantic-gen generates pydantic schemas from YAML files

pydantic-gen is a code generation python package that takes a YML file containing a OpenAPI Schema and generates python pydantic models. pydantic-gen can get used in your codebase to dynamically regenerate your pydantic models or it can be used one time to generator python code. The author of the pydantic-gen module is Mikhail Beliansky.

typing - Support for type hints

This module provides runtime support for type hints as specified by PEP 484, PEP 526, PEP 544, PEP 586, PEP 589, PEP 591, PEP 612 and PEP 613. The most fundamental support consists of the types Any, Union, Tuple, Callable, TypeVar, and Generic. For full specification please see PEP 484. For a simplified introduction to type hints see PEP 483.

import typing

# preferred
from typing import Dict, List, Union, Any

myvar: Dict = {}
# non-preferred
import typing

myvar: typing.Dict = {}

Code examples


from typing import Mapping, Dict, Any, Union

example1: Dict = {}

example2: Dict[str, Any]

example2: Mapping[str, int]

example3: Union[Dict[str, int], None]

example4: Union[str, None]

def hello(name: str) -> str:
    return f"Hello {name}"

Reference