semvec/pypi-packages huggingface dataset:
cptools 2.0.1
Tools used by CP

![python version](https://img.shields.io/badge/python-3.5+-blue)
![pypi version](https://img.shields.io/pypi/v/cptools?color=orange&style=plastic)
![license](https://img.shields.io/github/license/GentleCP/cptools)
# cptools
`cptools`is a tool repository which is used to save the useful python code when  I learned python. 
Please feel free to use them. If it is useful for you, give a star for this repository and let more people to know about it, thanks a lot.

See more details at: [documentation](https://GentleCP.github.io/cptools/)
npfc 0.7.21
A tool for describing Natural Product- (NP) fragments combinations and identifying pseudo-NPs.
Keywords: chemical biology,pseudo-natural products,computational chemistry,natural products,fragments

npfc: Natural Product Fragment Combinations
===========================================

**npfc** is a chemoinformatics tool for classifying Natural Product (NP) fragment
combinations into predefined categories and therefore identifying pseudo-NPs.

Pseudo-NPs are novel NP-inspired compound classes that combine the biological
relevance of NPs with the efficient exploration of chemical space by
fragment-based drug design.

The npfc tool is written in Python and based on several key packages:

- `RDKit`_ for handling chemistry
- `pandas`_ for managing data into DataFrames
- `NetworkX`_ for modelling graphs
- `Snakemake`_ for encapsuling scripts into reproducible workflows

Installation
============

The npfc tool can be installed using PyPi. In your Python environment, run:

>>> pip install npfc

Warning!!! There is currently an issue when pytables is installed via pip.
It was removed from the dependency but is required for the npfc workflow
(reference file used during deduplication). Instead, please install pytables via
conda:

>>> conda create -n npfc_env python pytables
>>> conda activate npfc_env
>>> pip install npfc

Documentation
=============

The full documentation is available at: https://npfc.readthedocs.io/.
It describes the API, as well as the different workflows implemented.
Moreover, a few tutorials are being included to show how to use this library in
some practical use. 

Contribution
============

Feedback from the community is warmly welcomed. It can be in the form of bug
reports and feature requests submitted via github or code contribution via
forking this repo and submitting pull requests.

License
=======

npfc is licensed under the `MIT license`_.

.. _`RDKit`: http://www.rdkit.org
.. _`pandas`: https://pandas.pydata.org/
.. _`NetworkX`: https://networkx.org/
.. _`Snakemake`: https://snakemake.readthedocs.io/en/stable/
.. _`MIT license`: https://github.com/jose-manuel/npfc/blob/master/LICENSE
private-reg 0.1.3
A simple pytho program for managing container registry in private
Requires Python: >=3.10,<4.0

# Private Registry


This is a simple python program to manage containers to upload, download and delete in private container regitry



To Install `private reg` use

````
pip install private_reg
````

To use in your py program:

````
from private_reg import container_registry
````

create an object with class `Private_registry` in `container_registry` 
example:
````
x = container_registry.Private_registry()
````






list of functions in container_registry.Private_registry

`is_container_running()` return status true or false whether a container is running with given name or not

`check_repo_in_pvt_reg()` prints the repos in private registry

`setup_pvt_registry()` starts private registry with a given conatiner name as class object

`pull_image()` Pulls image from docker hub if --no-private-reg or pulls image from private-container-registry by default

`push_image()` Push image to private_container_registry 

`delete_image()` Deletes image from private_containe_registry by default
fstkmqtt 0.0.1a0
Full project name: Fullstack MQTT for engineering


# __Fullstack MQTT Platform__

The Fullstack MQTT platform provides engineers and students with a wide range of libraries that are fast and secure enough for a website, database and IoT project.

---

## __Version__
The latest version is currently Beta test version __0.0.1a0__

---
## __Work environment__
We regret with our current resources we can only develop the platform running on Window and Window Server operating systems (For Beta __0.0.1a0__) In the future we will transform ourselves to accommodate all whole operating system.

---
## __Programming language__
1. Python

---
## __Feature__
1. Supports data security with RSA, AES, SHA and HMAC.
2. Support TCP and HTTP protocol
3. Support for databases
---
## __Supported modules__
1. Database
2. Network
3. Render
4. Security

### ___Database___
Database supports popular database software platforms such as:
1. MySQL
2. SQL Server
3. SQLite
4. In addition, we develop a prototype for Data warehouse (ETL)

### ___Network___
1. TCPServer
2. HTTPServer

**_TCPServer_**:
TCPServer supports users to create the basic platform from TCP (Telnet, SSH, ...).
<br>
**_HTTPServer_**:
Supports HTTP and HTTPS with TLS/SSL.