Skip to main content

A library devloped under the project AMBHAS

Project description

============
ambhas
============

This is a package/library in python developed under the project `AMBHAS <http://www.ambhas.com/>`_.
This has various module like: copula, errlib etc.


Installing ambhas
======================

Installing ambhas can be done by downloading source file (ambhas--<version>.tar.gz),
and after unpacking issuing the command::

python setup.py install

This requires the usual Distutils options available.

Or, download the ambhas--<version>.tar.gz file and issue the command::

pip install /path/to/ambhas--<version>.tar.gz

Or, directly using the pip::

pip install ambhas


Usage
=========
Import required modules::

import numpy as np
from ambhas.errlib import rmse, correlation

Generate some random numbers::

x = np.random.normal(size=100)
y = np.random.normal(size=100)
rmse(x,y)
correlation(x,y)

Changelog
=========

0.0.0 (July 2011)
------------------
- Initial release

0.0.1 (Nov 2011)
------------------
- a new sublibrary 'krig' added

0.0.2 (Nov 2011)
-----------------
- a new sublibrary 'sunlib' added

0.0.3 (Nov 2011)
-----------------
- A new sub-library added to deal with reading
and writting the xls data. This library is based
on 'xlrd' and 'xlwt', and provide an easier way to
read and write the data.

Documentation
================
Examples of using this library are provided in the book
Sat Kumar Tomer. Python in Hydrology, Green Tea Press.
The books is available for free to download.

Any questions/comments
=========================
If you have any comment/suggestion/question,
please feel free to write me at satkumartomer@gmail.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ambhas-0.0.2.tar.gz (21.2 kB view hashes)

Uploaded source

Built Distributions

ambhas-0.0.2.linux-x86_64.tar.gz (27.4 kB view hashes)

Uploaded any

ambhas-0.0.2.linux-x86_64.exe (78.4 kB view hashes)

Uploaded any

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page