semvec/pypi-packages huggingface dataset:
django-dbshell-plus 1.0.1
A dbshell_plus management command for Django that selects pgcli or mycli when available.
License: BSD
Keywords: django-dbshell-plus

====================
Django DB Shell Plus
====================


.. image:: https://badge.fury.io/py/django_dbshell_plus.png
    :target: http://badge.fury.io/py/django-dbshell-plus

.. image:: https://pypip.in/d/django_dbshell_plus/badge.png
    :target: https://crate.io/packages/django-dbshell-plus?version=latest


A dbshell_plus management command for Django that selects `pgcli` or `mycli` when available.

* Free software: BSD license
* Documentation: http://django-dbshell-plus.rtfd.org.


=========
Changelog
=========

Here's the recent changes to Django DB Shell Plus.


    :version: 1.0.1
    :released: 2015-08-12

    
        :tags: general

        Initial version, use `pgcli` or `mycli` when available.
normalize-easy 0.0.3
This package implements normc(), normr() and normv() functions to    easily normalize columns and rows of a matrix, and vectors respectively.
License: BSD
Keywords: normr normc normv normalize rows columns math matrix linear algebra MATLAB

## normalize_easy Package 

This package implements `normc()`, `normr()`, `normv()` functions to easily normalize columns, rows of 2-D arrays and vectors respectively. 
This package uses `sklearn.preprocessing.normalize` and forces the input array to have dtype as float. The input array has to be 2-D for `normc()` and `normr()`. 


* `normc()` -> normalizes columns of a 2-D array
* `normr()` -> normalizes rows of a 2-D array
* `normv()` -> normalizes the 1-D array


### To install
* `pip install normalize_easy`, or
* Download the repo and run `python setup.py install`

### To update
* `pip install normalize_easy —-upgrade`

### Version 0.0.3
* Cleaner code
* pep8 compliant
pipsi 0.9
Wraps pip and virtualenv to install scripts
License: BSD

pipsi
=====

pipsi = pip script installer

What does it do?  pipsi is a wrapper around virtualenv and pip
which installs scripts provided by python packages into separate
virtualenvs to shield them from your system and each other.

In other words: you can use pipsi to install things like
pygmentize without making your system painful.

How do I get it?

::

    curl https://raw.githubusercontent.com/mitsuhiko/pipsi/master/get-pipsi.py | python

How does it work?

pipsi installs each package into ~/.local/venvs/PKGNAME and then
symlinks all new scripts into ~/.local/bin.

Installing scripts from a package::

      $ pipsi install Pygments

Uninstalling packages and their scripts::

      $ pipsi uninstall Pygments

Upgrading a package::

      $ pipsi upgrade Pygments

Showing what's installed::

      $ pipsi list

How do I get rid of pipsi?

::

      $ pipsi uninstall pipsi

How do I upgrade pipsi?  With 0.5 and later just do this::

      $ pipsi upgrade pipsi

On older versions just uninstall and reinstall.