5. Layer python2_scientific¶
5.1. Overview¶
The python3_scientific layer is a set of Python 3 libraries and tools devoted to scientific development.
5.2. Metadata¶
5.2.1. Layer Home¶
/opt/metwork-mfext-0.8/opt/python2_scientific
5.2.2. Label¶
5.2.3. Dependencies¶
5.2.4. Extra-environment (loaded after layer load)¶
MAGPLUS_HOME={MFEXT_HOME}/opt/python2_scientific
MAGPLUS_QUIET=ON
5.3. Packages¶
Name |
Version |
Description |
Home Page |
|
|---|---|---|---|---|
0.13.1 |
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. Cartopy makes use of the powerful PROJ.4, numpy and shapely libraries and includes a programatic interface built on top of Matplotlib for the creation of publication quality maps. |
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7.0 |
Composable command line interface toolkit |
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0.29.12 |
The Cython compiler for writing C extensions for the Python language. |
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1.8.6 |
FIONA is OGR s neat and nimble API for Python programmers |
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2.2.4 |
GDAL: Geospatial Data Abstraction Library |
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1.0.6 |
Python interface to plot meteorological data in GRIB, NetCDF and BUFR. |
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0.10.2 |
Collection of tools for reading, visualizing andperforming calculations with weather data. |
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6.1.0 |
Python Imaging Library (Fork) |
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0.9 |
Physical quantities module |
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1.3.5 |
Database Abstraction Library |
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1.6.4.post2 |
Geometric objects, predicates, and operations |
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19.1.0 |
Classes Without Boilerplate |
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1.0 |
Backport of new features in Python s tempfile module |
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1.0.post1 |
Backport of new features in Python s weakref module |
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0.1.4 |
Climate Data Store API |
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2019.3.9 |
Python package for providing Mozilla s CA Bundle. |
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2.1.1 |
Units of measure as defined by the Climate and Forecast (CF) metadata conventions, supporting Unidata/UCAR UDUNITS-2 library, and the cftime calendar functionality |
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1.0.3.4 |
Time-handling functionality from netcdf4-python |
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1.1.1 |
An extension module for click to enable registering CLI commands via setuptools entry-points. |
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0.5.0 |
Click params for commmand line interfaces to GeoJSON |
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0.5.5 |
Backports and enhancements for the contextlib module |
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0.10.0 |
Composable style cycles |
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1.2.2 |
Parallel PyData with Task Scheduling |
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4.4.0 |
Better living through Python with decorators |
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2.13.0 |
ecCodes is a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding messages in the following formats: WMO FM-92 GRIB edition 1 and edition 2 WMO FM-94 BUFR edition 3 and edition 4 WMO GTS abbreviated header (only decoding). |
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1.1.6 |
Python 3.4 Enum backported to 3.3, 3.2, 3.1, 2.7, 2.6, 2.5, and 2.4 |
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7_0_2 |
Earth System Modeling Framework (ESMF) Python Interface (ESMPy) |
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1.0.2 |
Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+ |
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0.11.1 |
Simple Python interface for Graphviz |
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2.9.0 |
Read and write HDF5 files from Python |
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0.2.0 |
Vestigial utilities from IPython |
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2.1.0 |
IRIS is a powerful, format-agnostic, and community-driven Python library for analysing and visualising Earth science data |
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1.1.0 |
A fast implementation of the Cassowary constraint solver |
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4.3.4 |
Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API. |
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2.2.2 |
Python plotting package |
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2.3.2 |
A dot-accessible dictionary (a la JavaScript objects). |
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1.5.1.2 |
Provides an object-oriented python interface to the netCDF version 4 library. |
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1.16.4 |
NumPy is the fundamental package for array computing with Python. |
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3.2.0 |
Color palettes for Python |
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0.24.2 |
Powerful data structures for data analysis, time series, and statistics |
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1.0.1 |
Object-oriented filesystem paths |
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1.0.6 |
A Python Wrapper of pngquant |
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0.5.2 |
Pooch manages your Python library s sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks. |
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7.43.0.3 |
PycURL – A Python Interface To The cURL library |
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1.5 |
PYGRAPHVIZ is a Python interface to Graphviz |
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1.1.1 |
PYKE integrates a form of Logic Programming into Python by providing a knowledge engine that can Do both forward-chaining (data driven) and backward-chaining (goal directed) inferencing Automatically generate Python programs by assembling individual Python functions into complete call graphs. |
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1.9.6 |
Python interface to PROJ.4 library |
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2.1.0 |
Pure Python read/write support for ESRI Shapefile format |
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2.8.0 |
Extensions to the standard Python datetime module |
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2019.1 |
World timezone definitions, modern and historical |
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1.1.0 |
SciPy: Scientific Library for Python |
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0.9.0 |
seaborn: statistical data visualization |
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3.5.4 |
A backport of the subprocess module from Python 3 for use on 2.x. |
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0.10.0 |
List processing tools and functional utilities |
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4.3.2 |
Traitlets Python config system |
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0.11.3 |
N-D labeled arrays and datasets in Python |
(56 packages)