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pyCGNS
Analyzed about 3 hours ago
The package gathers various tools and libraries for CGNS end-users and Python application developpers. The main object of pyCGNS is to provide the application developpers with a Python interface to CGNS/SIDS, the data model. The MAP and PAT modules are dedicated to this goal: map the CGNS/SIDS data
Licenses:
lgpl21le
scientific-python-lectures
S
Analyzed about 15 hours ago
Lectures on scientific computing with python, as IPython notebooks.
Licenses:
No declared licenses
SciExp2
S
No analysis available
SciExp² (aka SciExp square or simply SciExp2) stands for Scientific Experiment Exploration, which contains a comprehensive framework for easing the workflow of creating, executing and evaluating experiments.
The driving idea behind the provided abstractions is that of the need for quick and
Mostly written in language not available
Licenses:
gpl3_or_l...
pym2149
P
Analyzed about 15 hours ago
YM2149 emulator in Python, NumPy and a little Numba where it matters. The aims of this project are to demonstrate it can be done in Python (done), accurate emulation (now probably the most accurate implementation out there), and interoperability with existing tools (in progress). Unlike other
Continuum Blaze
C
Analyzed 1 day ago
Blaze is the next-generation of NumPy. It is designed as a foundational set of abstractions on which to build out-of-core and distributed algorithms over a wide variety of data sources and to extend the structure of NumPy itself. Blaze allows easy composition of low level computation kernels (C
Licenses:
BSD-3-Clause
scipy-lecture-notes
S
Analyzed about 20 hours ago
Tutorial material on the scientific Python ecosystem
Licenses:
No declared licenses
LFE lsci
Analyzed about 5 hours ago
Scientific Computing on the Erlang VM - An LFE Wrapper Library for SciPy, NumPy, etc.
Licenses:
No declared licenses
Pylearn2
P
Analyzed about 19 hours ago
A Machine Learning library based on Theano
Licenses:
BSD-3-Clause
pytablewriter
P
Analyzed about 9 hours ago
A python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.