semvec/pypi-packages huggingface dataset:
spacycloud 1.0.5
Python client for the spaCy Cloud API
License: MIT
Keywords: api,NLP,spacy,machine learning,data science,spacycloud

spaCy Cloud serves all the spaCy pre-trained models, and your own custom models, through a RESTful API ready for production.

This is the Python client for the API.

More details here: https://spacycloud.io

Documentation: https://docs.spacycloud.io

Github: https://github.com/spacycloud/spacycloud-python
pytoolkit42 0.1.2
Collection of useful utilities and tools for python projects
License: MIT
Requires Python: >=3.6,<4.0
Keywords: library,tools,python,utility,mixins,decorators

# pytoolkit

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> Collection of useful utilities and tools for python projects

## Installation

```bash
pip install pytoolkit42
```

## Purpose

Pretty much every utility stuff you could imagine is already written down in some python package.
But almost every time these stuff is part of a heavyweight framework with a lots of
dependencies. And on top they do it in a slightly different way - you would do it - because it
is tailored to their needs.

This is why I made up this `Yet Another Utility Package` called `pytoolkit42`.
I want this `toolkit` to be

* lightweight and
* easy to use

Right now it does not have the answer to every problem you will encounter, but it serves
well to solve problems I stumble upon on a regular basis.

The collection of functions, classes, decorator, mixins will grow when I come up with a
solution that seems to be of use for everybody else out there.

But to be honest: I try to make this package as generic as possible so it might be useful to you,
but I cannot promise. Nevertheless you are encouraged to make PRs.

## Manual

The manual is available at Read the Docs:

  [https://pytoolkit42.readthedocs.io/en/latest/](https://pytoolkit42.readthedocs.io/en/latest/)