semvec/pypi-packages huggingface dataset:
Phils-Amazon-Price-Tracker 1.2.0.dev1
An Amazon Product Price Tracker
License: MIT
Keywords: amzon product price tracker

A sample Python project
=======================

A sample project that exists as an aid to the `Python Packaging User Guide
<https://packaging.python.org>`_'s `Tutorial on Packaging and Distributing
Projects <https://packaging.python.org/en/latest/distributing.html>`_.

This projects does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

----

This is the README file for the project.

The file should use UTF-8 encoding and be written using ReStructured Text. It
will be used to generate the project webpage on PyPI and will be displayed as
the project homepage on common code-hosting services, and should be written for
that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not
a good idea, although a simple "What's New" section for the most recent version
may be appropriate.
csvdb 0.1.0
Csv data access package like PEP 249 api.
License: MIT
Keywords: csv

=============
csvdb
=============

Csv reader like PEP 249 API.

Requirements
-----------------

- Python 3.x


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

::

    $ pip install csvdb

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

::

   import csvdb
   conn = minitds.connect('/foo/bar/baz.csv')
   cur = conn.cursor()
   cur.execute('field1,field2')
   for r in cur.fetchall():
      print(r[0], r[1])
   conn.close()
nphusl 1.4.1
A HUSL color space conversion library that works with numpy
License: MIT
Keywords: husl hsl color conversion rgb image processing

HUSL color space conversion
===========================

A color space conversion library that works with numpy. See
http://husl-colors.org to learn about the HUSL color space.


Features
--------

1. Fast conversion to RGB from HUSL and vice versa. Convert a 1080p image to
HUSL in less than a second.
2. Seamless performance improvements with `NumExpr`, `Cython`, and `OpenMP`
(whichever's available).
3. Flexible `numpy` arrays as inputs and outputs. Plays nicely with `OpenCV`,
`MoviePy`, etc.

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

1. `virtualenv env -p python3`
2. `source env/bin/activate`
3. `pip install numpy`
4. (optional) `pip install Cython`  (or NumExpr, but Cython is preferred)
5. `pip install git+https://github.com/TadLeonard/husl-numpy.git`

Basic usage
-----------

* `to_rgb(hsl)` Convert HUSL array to RGB integer array
* `to_husl(rgb)` Convert RGB integer array or grayscale float array to HUSL
* array
* `to_hue(rgb)` Convert RGB integer array or grayscale float array to array of
* hue values

More
====

See https://github.com/TadLeonard/husl-numpy for complete documentation.
uniprotmapper 0.3.dev0
A little package for running mapping requests through UniProt's online API.
License: MIT

#uniprotmapper

A little package for running mapping requests through UniProt's online
API.

##installation
Download the .zip to your favorite directory on your local machine, `cd`
there and run the command:

```
$ python setup.py install
```

Alternatively, one can:

```
$ pip install uniprotmapper
```
##example
Here is an example:

```python
import uniprotmapper as um

mymapper = um.Mapper()
mymapper.params.update({"to":"WORMBASE_ID", 
                        "from":"ID", 
                        "organism":"6239",
                        "format":"tab"})
                        
myquery = {"query":["some gene", "some gene", "some gene", "some gene"]}
response = mymapper.get_data(myquery)

#alternatively

mymapper.params.update(myquery)
response = mymapper.get_data()
```

Have fun! :D