This link has been bookmarked by 368 people . It was first bookmarked on 02 Mar 2006, by Samuel cartaxo.
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Python-based ecosystem of open-source software for mathematics, science, and engineering
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Adrien Jolyrecommandé par adrien friggeri pour facebook
python data-science programming library tools math interactive
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02 Apr 15
Nick Gall"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages"
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Engelbert Tejedakwd:{python, histogram, graph, graphing, science, statistics
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About SciPy
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Install
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Getting Started
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Documentation
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Documentation -
Getting Start -
Install -
Topical Software
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Citing
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Cookbook
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SciPy library
Fundamental library for scientific computing -
NumPy
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SciPy Central
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Sympy
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pandas
Data structures & analysis
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IPython
Enhanced Interactive Console
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SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering
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Matplotlib
Comprehensive 2D Plotting -
NumPy
Base N-dimensional array package -
SciPy library
Fundamental library for scientific computing -
Sympy
Symbolic mathematics -
pandas
Data structures & analysis -
IPython
Enhanced Interactive Console
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08 Nov 14
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Erwin Fischer"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:"
python science programming math library tools software opensource
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suresh sood"SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:"
python science programming math library tools software opensource
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KonstantinosSciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:
{NumPy "SciPy Library" Matplotlib IPyton Sympy pandas} -
27 Aug 13
Brian PattizSciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages: Numpy, SciPy library, Matplotlib, IPython, Sympy, pandas
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering.
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The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.
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If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
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SciPy is sponsored by Enthought, Inc.
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18 Jan 13
Julian QianThe SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation.
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19 Oct 12
carlos puentes"SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
"python science programming math library tools software opensource
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13 Sep 12
Greg Linch"SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!"
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notthis body"SciPy is open-source software for mathematics, science, and engineering" http://t.co/T3hLpsKg #opensource #python #science
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Mike FinneySciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering.
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engineering
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science
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mathematics
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Nicolas PalopoliSciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
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James ChoateSciPy is the leading scientific toolbox for Python. Python is replacing FORTRAN in many scientific applications. Since Sage, Euler Toolbox, and R also have Python hooks this allows a very powerful analysis engine to be built very quickly and it will have
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Dylan HoggSciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
Python science programming math tools library development opensource software
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13 Oct 09
Alfred ReichSciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
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Nitin HayaranSciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python.
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