semvec/pypi-packages huggingface dataset:
DisJotter 1.0.5
DisJotter allows the user to interactively create a Docker image from a Jupyter Notebook.
Requires Python: >=3.6

Note: DisJotter is not currently being maintained. It has been forked as 'FAIR-Cells', which is available at:

https://github.com/QCDIS/FAIRCells and https://pypi.org/project/FAIR-Cells/


![PyPI - License](https://img.shields.io/pypi/l/disjotter) ![PyPI](https://img.shields.io/pypi/v/disjotter)

# DisJotter

DisJotter is a Jupyter Notebook extension that allows the user to interactively create a Docker image from a Jupyter Notebook. Our tool can be used to generate Docker images from single cells of a Jupyter Notebook. The generated image will run a web service that will output the specified cell. This includes image outputs like plots. Code introspection for Python enables the services to change cell output at service run-time.

Among other things, DisJotter is useful for reusing notebook components in workflows that support web services. 

... More information to follow ...


#### Installation
DisJotter can be downloaded using pip. It then needs to be enabled using three Jupyter commands. Docker is required for the extension to have any effect.

```bash
$ [sudo] pip install disjotter
$ jupyter serverextension enable --py disjotter
$ jupyter nbextension install --py disjotter
$ jupyter nbextension enable --py disjotter
```

#### Development
To keep your system clean it is recommended to develop using Docker. The following command will run a Jupyter Notebook server with DisJotter enabled at http://localhost:8888. Autoreload is enabled for Python files, you will need to reload your browser to see changes in the front-end.

```bash
$ docker-compose up --build main
```

To test the helper server that runs inside of the container run the following command. This uses a dummy notebook that can be found in `docker/helper_dummy`. The notebook will be available at http://localhost:10000

```bash
$ docker-compose up --build helper
```
hfapi 0.1b0
HackForums API v2 Integration

Unofficial HackForums API v2 Integration in Python 3
====================================================

Purpose
-------

Other public Python implementations of the HackForums API have shown to
be immature or varying levels of incomplete. The goal of this project is
to provide a fully usable Python API for Hackforums available through
``pip``. **hfapi** features include: - Read/Write profile user profile
information - Easy and intuitive integration with Python network
applications - Synchronous (requests) and Asynchronous (aiohttp)
implementations - All API objects are defined with Pydantic

How-To: Install
---------------

Installation is easy!

::

   python3 -m pip install -U hfapi

How-To Use
----------

The synchronous and asynchronous API implementations are identical in
functionality and usage with the addition of ``await`` syntax in the
asynchronous version.

::

   # use "HFApp" and "HFClient" for synchronous
   from hfapi import HFAppAsync, HFClientAsync

   app = """ EXAMPLE WEB SERVER HERE """

   hf = HFAppAsync(
       client_id="[CLIENT_ID]",
       secret_key="[SECRET_KEY]",
       redirect_uri="https://example.com/authorize",
   )

   # Hackforums will submit a GET request with "code" as a parameter
   @app.get("/authorize")
   async def authorize(code: str):
       # use the `hf.authorize` method to create a client session
       client = await hf.authorize(code)
       me = await client.me(all=True)  # collect all (possible) data from current user
       return me.dict()