semvec/pypi-packages huggingface dataset:
PackageMega 0.1.3
Simple package manager to download and keep track of biological databases.

PackageMega
=========

|CircleCI master| |PyPI latest version| |PyPI Python version| |PyPI downloads| |GitHub license|

Simple package manager to download and keep track of biological databases.

Goals
-----

PackageMega is used to distribute `ModuleUltra <https://github.com/dcdanko/ModuleUltra>`_ pipelines.

See `recipes <./recipes/>`_ for examples.

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

Be aware that PackageMega is still an Alpha. There are still bugs and some unimplemented features.

PackageMega is currently being used on Ubuntu and RHEL systems. It should work on any *nix system.

To install:


.. code-block:: bash

    pip install packagemega


Licence
-------
MIT License

Authors
-------

`ModuleUltra` was written by `David C. Danko <dcdanko@gmail.com>`_.


.. |CircleCI master| image:: https://img.shields.io/circleci/project/github/dcdanko/PackageMega/master.svg
    :alt: CircleCI master

.. |PyPI latest version| image:: https://img.shields.io/pypi/v/PackageMega.svg
    :target: https://pypi.python.org/pypi/PackageMega
    :alt: Latest PyPI version

.. |PyPI Python version| image:: https://img.shields.io/pypi/pyversions/PackageMega.svg
    :alt: PyPI - Python version

.. |PyPI downloads| image:: https://img.shields.io/pypi/dm/PackageMega.svg
    :alt: PyPI - Downloads

.. |GitHub license| image:: https://img.shields.io/github/license/dcdanko/PackageMega.svg
    :alt: GitHub license
yaml_backed_structs 1.0.0
Basic python data structures backed by a human editable yaml file

yaml_backed_structs
===================

.. image:: https://img.shields.io/pypi/v/yaml_backed_structs.svg
    :target: https://pypi.python.org/pypi/yaml_backed_structs
    :alt: Latest PyPI version

.. image:: https://img.shields.io/github/license/mashape/apistatus.svg
    :target: https://img.shields.io/github/license/mashape/apistatus
    :alt: License

.. image:: https://travis-ci.org/dcdanko/YamlBackedPyStructs.svg?branch=master
    :target: https://travis-ci.org/dcdanko/YamlBackedPyStructs
          
Basic python data structures backed by a human editable yaml file

Description
-----------

Provides a dead simple way to store small amounts of information for python programs.
This is useful for program configs and similar.

Has the advantage that the files backing the data structures are human readable and
can be edited using your favorite text editor.

.. code-block:: python

   from yaml_backed_structs import PersistentDict, PersistentSet

   pdict = PersistentDict('my-path.yml')
   pdict['a'] = 1 # this will automatically be saved
   pdict['b'] = []
   pdict['b'].append(2) # this will not be saved automatically
   pdict.save() # but we can save it like this

   


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

.. code-block:: bash
   
   pip install yaml_backed_structs

   python setup.py install

Licence
-------

MIT

Authors
-------

`yaml_backed_structs` was written by `David C. Danko <dcdanko@gmail.com>`_.
paladin-util 0.0.1
A utility collection.

# paladin-utils
#### A small utility collection.


## Utils

### Namespace
##### A dict accessible by getattr/setattr.
Example:
```python
from paladin_util.namespace import Namespace
namespace = Namespace({
    'data': 'a'
})
print(namespace.data) #=> 'a'
namespace.data = 'b'
print(namespace.data) #=> 'b'
```

### complexrange
##### A range over the complex space

Example:
```python
from paladin_util.complexrange import complexrange
for i in complexrange((1, 32, -1), (32, 1)):
    print(i.real + i.imag)
```
sivasample 0.2.0
A sample Python project
Keywords: sample setuptools development

# A sample Python project

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project 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.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. 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.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/en/latest/distributing.html
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
terraref-laser3d 1.8.0
TERRA-REF laser 3D scanner science package
Keywords: field crop,phenomics,computer vision,remote sensing

# laser3d science package

This repository contains utilities for scientific operations on 3D laser scanner data.

### laser3d.py

**generate_las_from_ply(inp, out, pco)**
Convert a list of PLY input files into a single merged LAS output.

**generate_tif_from_ply(inp, out, mode='max')**
Convert an PLY file to a raster, using mode as the pixel aggregation rule.

### Authors:

* Maxwell Burnette, National Supercomputing Applications, Urbana, Il
paladin-utils 0.0.1
A utility collection.

# paladin-utils
#### A small utility collection.


## Utils

### Namespace
##### A dict accessible by getattr/setattr.
Example:
```python
namespace = Namespace({
    'data': 'a'
})
print(namespace.data) #=> 'a'
namespace.data = 'b'
print(namespace.data) #=> 'b'
```

### complexrange
##### A range over the complex space

Example:
```python
for i in complexrange.complexrange((1, 32, -1), (32, 1)):
    print(i.real + i.imag)
```
nms 0.1.6
A Non Maximal Suppression Python Package
Keywords: non maximal suppression,non maximum suppression,opencv,image processing

# nms

A Python package to perform Non Maximal Suppression.


Install:  `pip install nms`

More @ [nms.ReadTheDocs.io](https://nms.readthedocs.io)

### Example

[opencv-text-detection](https://bitbucket.org/tomhoag/opencv-text-detection)


### What's Next?

There are not any tests.

### Thanks

A big thanks to Adrian Rosebrock ([@PyImageSearch](https://twitter.com/@PyImageSearch)) at [PyImageSearch](https://www.pyimagesearch.com) -- he writes some amazing and inspiring content.