semvec/pypi-packages huggingface dataset:
genMD-badges 0.1.2
Generate hashCheck html file of local .so files.
License: MIT
Requires Python: >=3.7.1

📦 setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

```bash
cd your_project

# Download the setup.py file:
#  download with wget
wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py

#  download with curl
curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
```

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

[an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py

[PyPi]: https://docs.python.org/3/distutils/packageindex.html
[Twine]: https://pypi.python.org/pypi/twine
[image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
[What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
[The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
[Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
krms 0.0.2
K-RMS unsupervised clustering algorithm.
License: MIT
Keywords: clustering visualize semisupervised

# krms
-----------

A simple python library for implementing the K-RMS Clustering algorithm on
unlabelled data using unsupervised learning. 


The code is Python 2 and 3 compatible.

# Installation
--------------

Fast install:
-------------

::

        pip install krms

For a manual install get this package:
--------------------------------------

.. code:: bash

        $wget https://github.com/garain/krms/archive/master.zip
        $unzip master.zip
        $rm master.zip
        $cd krms-master

Install the package:
--------------------

::

        python setup.py install    

# Example
---------

.. code:: python

        from krms import krms_clustering
        
        #For results related to Iris dataset no need to pass any argument.
        krms_clustering.run()
		
        #For getting results from custom dataset pass path of csv file as argument in function 'run'. 
        krms_clustering.run("data.csv")
		

N.B.: The csv file should have the labels in first column with header name 'type' followed by rest of feature columns.

# References
---------------

:: 
        
		@article{GARAIN2020113,
                title = "K-RMS Algorithm",
				journal = "Procedia Computer Science",
				volume = "167",
				pages = "113 - 120",
				year = "2020",
				note = "International Conference on Computational Intelligence and Data Science",
				issn = "1877-0509",
				doi = "https://doi.org/10.1016/j.procs.2020.03.188",
				url = "http://www.sciencedirect.com/science/article/pii/S1877050920306530",
				author = "Avishek Garain and Dipankar Das",
				keywords = "clustering, distortion-error, rms-value, multi-component analysis, unsupervised-learning"
				}
Gen-make 1.0.1
A script generate basic Makefile
License: MIT

# Gen-make
Generate-Makefile [ gen-make ], a script that generate's basic Makefile.
The goal is to learn more about gnu make for writing more simpler rules.

## Installation:

### direct install:

```pip3 install gen-make```

or 

### clone and install:

```cd Gen-make/```

```pip3 install . ```

### Command usage:

```gen-make [OPTIONS]```

## Design:

script :
   - handles argument's from terminal.
   - creates Makefile in current directory.
do_makefile:
   - get info about from the given directory.
   - write rules using the info.

## Gen-make argument's :

```-H <path>```: adding header file path

```-s <path>```: adding source file path

```-o <path>```: target or executable file name

```-l <path>```: adding linker library

```-v ```      : modify the output verbosity

## Test run:

Creating Makefile for the test directory file,
* ``` cd test/ ```
* ``` gen-make -v```
or
* ``` gen-make -H test/ -s test/ -v ``` 

### Tic-Tac-Toe

Tried generating Makefile for previous project.

```gen-make -H include/ -s src/ -o tic-tac-toe -l lncurses -v```
  
Check the commit of those repository.
minicql 0.3.0
Yet another Cassandra database driver
License: MIT
Keywords: Cassandra

=========
minicql
=========

Yet another Cassandra (CQL protocol) database driver.

Requirement
--------------

- Python3.5+

Example
-------------

Simple example

::

   import minicql
   conn = minicql.connect('server_name', 'keyspace')
   cur = conn.cursor()
   cur.execute("select * from test")
   for c in cur.fetchall():
       print(c)
   conn.close()

Use Cosmos DB cassandra API

::

   import minicql
   conn = minicql.connect(
       'xxxxx.cassandra.cosmos.azure.com',
       'keyspace',
       user='xxxxx',
       password='?????',
       port=10350,
       use_ssl=True
   )
       ...