From a9bc9ecdf216adb907aff87991c504f3491cd982 Mon Sep 17 00:00:00 2001 From: Easy Build <easybuild@login4.smc.salomon.it4i.cz> Date: Thu, 4 Jan 2018 13:15:04 +0100 Subject: [PATCH] Thu, 04 Jan 2018 13:15:04 +0100 --- salomon.csv | 2 ++ salomon.md | 2 ++ 2 files changed, 4 insertions(+) diff --git a/salomon.csv b/salomon.csv index 15f3af4a..592d06fd 100644 --- a/salomon.csv +++ b/salomon.csv @@ -1188,9 +1188,11 @@ phono3py/1.11.13.35-intel-2017a-Python-2.7.13,2 phonopy/1.11.6.7-intel-2015b-Python-2.7.9,2 phonopy/1.11.12.5-intel-2015b-Python-2.7.9,2 phonopy/1.11.12.5-Python-2.7.13-base,2 +cycler/0.10.0-Py-3.6,2 numpy/1.13.3-Py-3.6,2 pyparsing/2.2.0-Py-3.6,2 python-dateutil/2.6.1-Py-3.6,2 +pytz/2017.3-Py-3.6,2 scipy/1.0.0Py-3.6,2 six/1.11.0-Py-2.7,2 six/1.11.0-Py-3.6,2 diff --git a/salomon.md b/salomon.md index cb6ab289..27268708 100644 --- a/salomon.md +++ b/salomon.md @@ -354,9 +354,11 @@ | Module | Description | | ------ | ----------- | +| [cycler](https://matplotlib.org/cycler) | Composable style cycles. | | [numpy](http://www.numpy.org) | NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. | | [pyparsing](http://pyparsing.wikispaces.com) | The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. | | [python-dateutil](https://github.com/dateutil/dateutil) | Useful extensions to the standard Python datetime features | +| [pytz](http://pytz.sourceforge.net/) | pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher. | | [scipy](https://github.com/jupyter/testpath) | Test utilities for code working with files and commands | | [six](https://github.com/benjaminp/six) | Python 2 and 3 compatibility library. | -- GitLab