semvec/pypi-packages huggingface dataset:
prvd 0.2.1
Provide python client

# provide-python

Provide python client library.

## Installation

`pip install prvd`

## pipenv

`pipenv install` uses the Pipefile to install package dependencies.

## Usage

Basic transaction creation using a Provide API token:

```python
from prvd.goldmine import Goldmine

client = Goldmine('your-provide-application-api-token')
params = { 'account_id': 'your-provide-application-account-uuid', 'method': 'delegate', 'value': 0, 'params': ["0x3109F8317aef2959dA5F57973031B9B43c0c617d"] }
client.execute_contract('your-provide-application-smart-contract-uuid', params)
```
ProBioPred 1.0.0
Probiotic candidate prediction on the basis of genomic features by using Support Vector machine (SVM).

ProBioPred can uses Virlent factor (VFDB) and CARD database RGI tool to predict virulent  and antibiotic resistence genes. Then it uses pre-trained SVM models to predict potential probiotic/non-probiotic candidates. ProBioPred is available as webserver at http://210.212.161.142/ProBioPred/ and as standalone at https://github.com/microDM/ProBioPred
im-pysquonk 1.0.1
Pysquonk rest server API
Requires Python: >=3.6

# pysquonk
PySquonk
========

Pysquonk is a python API wrapper round the Informatics Matters Squonk Rest
 Services. It can be used to submit jobs, check their status and retreive
the jobs results. It can be used in two ways:
- from the command line
- writing python scripts using the API


Installation
------------

From github https://github.com/InformaticsMatters/pysquonk

From pip:
  pip install im-pysquonk

Running from the command line
-----------------------------

Copy the file config.ini from github and save it into the directory you are going to run the command from. Edit your username and password into the file, or
pass them via the command line (see below). The job to run is specified using
yaml files. Examples of yaml files for various jobs are available in the yaml
directory. For example, if you installed with pip, the command;

  pysquonk -r yaml/pipelines.rdkit.sucos.o3da.yaml -o outdir

will run the job defined by the file pipelines.rdkit.sucos.o3da.yaml and write its output to the directory outdir. To get help run.

  pysquonk -h

If you did install pysquonk via pip, but you have a directory SQUONKDIR containing the contents of the repository then the command would be:

  python SQUONKDIR/squonk -h

If you want to run a job that does not have an example in the yaml directory,
then the command:

  pysquonk -s pipelines.rdkit.sucos.o3da -o outdir

will write out an example yaml file that you can amend to directory outdir

Using the Python API
--------------------

The API documentation is in [doc/squonk.md](doc/squonk.md). There is an example program in test_harness.py


Development and Testing
-----------------------

To run all the test jobs in the yaml sub directory, from the top level of the repo run:

  python test_jobs.py

(will prompt for username and password). -r option will run one of the jobs.

To run the script that executes the API functions:

  python test_harness.py
(will prompt for username and password).