semvec/pypi-packages huggingface dataset:
types-pywin32 311.0.0.20251008
Typing stubs for pywin32
Requires Python: >=3.9

## Typing stubs for pywin32

This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html)
for the [`pywin32`](https://github.com/mhammond/pywin32) package. It can be used by type checkers
to check code that uses `pywin32`. This version of
`types-pywin32` aims to provide accurate annotations for
`pywin32==311.*`.

This package is part of the [typeshed project](https://github.com/python/typeshed).
All fixes for types and metadata should be contributed there.
See [the README](https://github.com/python/typeshed/blob/main/README.md)
for more details. The source for this package can be found in the
[`stubs/pywin32`](https://github.com/python/typeshed/tree/main/stubs/pywin32)
directory.

This package was tested with the following type checkers:
* [mypy](https://github.com/python/mypy/) 1.18.2
* [pyright](https://github.com/microsoft/pyright) 1.1.406

It was generated from typeshed commit
[`058aa6246b9c5b61267dadf1ea25b7040960d86a`](https://github.com/python/typeshed/commit/058aa6246b9c5b61267dadf1ea25b7040960d86a).
types-flake8-rst-docstrings 0.4.0.20251008
Typing stubs for flake8-rst-docstrings
Requires Python: >=3.9

## Typing stubs for flake8-rst-docstrings

This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html)
for the [`flake8-rst-docstrings`](https://github.com/peterjc/flake8-rst-docstrings) package. It can be used by type checkers
to check code that uses `flake8-rst-docstrings`. This version of
`types-flake8-rst-docstrings` aims to provide accurate annotations for
`flake8-rst-docstrings==0.4.*`.

This package is part of the [typeshed project](https://github.com/python/typeshed).
All fixes for types and metadata should be contributed there.
See [the README](https://github.com/python/typeshed/blob/main/README.md)
for more details. The source for this package can be found in the
[`stubs/flake8-rst-docstrings`](https://github.com/python/typeshed/tree/main/stubs/flake8-rst-docstrings)
directory.

This package was tested with the following type checkers:
* [mypy](https://github.com/python/mypy/) 1.18.2
* [pyright](https://github.com/microsoft/pyright) 1.1.406

It was generated from typeshed commit
[`058aa6246b9c5b61267dadf1ea25b7040960d86a`](https://github.com/python/typeshed/commit/058aa6246b9c5b61267dadf1ea25b7040960d86a).
dss.wdc_client 0.9.1
A small client for the WDC-Rest-API.
Requires Python: >=3.10

# Package obsolete
The implementation of this package is obsolete and will not be 
maintained any longer. Please use its successor `dsslab-wdc-client` 
available at https://pypi.org/project/dsslab-wdc-client/ 

# Description
This project includes a *very* small client to access data form 
the WebDataCollector-API. It is meant to provide a simple means 
of accessing the data in Json or as Panda-DataFrames.

# Usage

```
from dss_wdc_client.client import WDCClient

# Somehow initialize environment variables for 
# "WDC_HOST" and "WDC_TOKEN". 
load_dotenv()

client = WDCClient.fromEnv()
df = client.loadAsDataFrame(
	'api/endpoint...', {'param1', 'value will be encoded'})
```

For more information about the client and usable endpoints, 
see the project homepage of WDC or directly consult the Documentation.

# Changelog
- 0.9.1		Make package obsolete.
- 0.9.0		Add method WDCClient#put to create PUT-Requests
- 0.8.2		Fix for duplicate parameters when paging.
- 0.8.1		Simplify new methods for loading a DomainGraph.
- 0.8.0		Added new methods for loading DomainGraphs.
- 0.7.3		Fix README
- 0.7.2		Include link for generated documentation
- 0.7.1 	Added generated documentation
- 0.7.0		Added new method WDCClient.loadDomainGraph for loading a DomainGraph as NetworkX-Object
- 0.6.0		WDCClient throws an WDCException if a request to the server fails
- 0.5.0		New signatures and methods taking care of encodings and working on large results
- 0.4.3		Add dependencies pandas["excel, plot"] as they are likely to be used.
- 0.4.2		Enhance README with Changelog and code-example.
- 0.4.1		Include a preferred variant for creating WDCClients from the Environment	

# Internal Notes for the Development Environment

## Initialize

	wdc-rest-api-python> poetry install --extras docs

## Use cases

* Update dependencies: `poetry update`
	 
* Execute Python file: `poetry run python3 src/main.py`
	
* Running tests 
(https://pytest-with-eric.com/getting-started/poetry-run-pytest/)
	
	```
	poetry run pytest 
	poetry run pytest tests/test_module.py::testFunction
	poetry run pytest -s (with output from stdout and stderr)
	```
	
## Create Documentation (Sphinx)

	`poetry run make html` 	
	
## Publish to PyPI
(https://python-poetry.org/docs/repositories/#publishable-repositories)
	
1. Config token (once)
	
	`poetry config pypi-token.pypi <my-token>`

2. Publish

	`poetry publish --build`
au-tools 0.1.6
au - GitHub Classroom Automation Tools
Requires Python: <4.0,>=3.12
Keywords: autograde, automation, classroom, codespaces, github

# `au` - GitHub Classroom Automation Tools

Solid gold tools for automating much of the workflow involved in managing and
evaluating assignments using GitHub Classroom.

## Purpose

GitHub Classroom, especially when combined with GitHub Codespaces, can transform
the way instructors deliver technology-focused assignments, evaluate them, and
provide feedback to students. However, there is a huge learning curve for most
instructors to be able to use these tools effectively. Likewise, the process can
involve a lot of repetitive and error-prone steps, even with basic automation
tools.

This package contains a number of resources to ease the burden of instructors
using GitHub Classroom.

 - `au` is a commandline tool designed to automate many of the core workflows
   involved in creating and evaluating assignments.
 - `checkit` is a separately installable commandline tool for students to use to
   test their own assignments against all or a subset of the automated tests
   used by the instructor for evaluation. (**_coming soon_**)
 - `au_unit` is a separately installable Python module that provides useful
   tools to help with the creatinon of unit test for use in student assignment
   evaluation. (**_coming soon_**)
 - "Opinionated" workflow suggestions to help with assignment creation,
   automated test creation, semi-automated assignment evaluation, and feedback.
   (**_evolving_**)
 - Example assignment configurations that can be used to better understand the
   above workflows and adapted to meet specific assignment needs.

At present, bespoke tooling is available to support:

  - Python programming assignments
  - SQL programming assignments with MySQL / MariaDB (**_coming soon_**)

## Usage

Click to [read the full documentation](https://ptyork.github.io/au/).

## Installation

At present, the only way to install the project is using Python's pip installer:
```
pip install au-tools
```
or
```
pip3 install au-tools
```
The tools will make heavy use of both the `git` (Git) and the `gh` (GitHub)
command line tools. Both must be installed and authenticated prior to use.

For more details read the [installation guide](https://ptyork.github.io/au/install/).