Great opportunity to learn scientific computing with Python at SciPy conference

Python Programming Portal

Written by Content Team

Monday, 23 April 2007

The SciPy Conference (pronounced "Sigh Pie") provides the opportunity to learn about the scientific computing with Python. SciPy is open-source software for mathematics, science, and engineering that use the Python programming language. SciPy is a collection of mathematical tools for scientific computing and data analysis with numpy tool. SciPy library is built to work with NumPy arrays and provides many user-friendly and efficient numerical routines.

The core library is NumPy which provides convenient and fast N-dimensional array manipulation. NumPy and SciPy are easy to use and are used by some of the world's leading scientists and engineers.

NumPy is the package needed for scientific computing with Python.
Package contains:

* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
* sophisticated random number capabilities
* tools for integrating Fortran code.

NumPy can also be used as an efficient multi-dimensional container of generic data.

Its a good opportunity for science students to learn the scientific computing with Python.

Details of the conference:

Venue: Caltech, Pasadena, CA
Tutorials: August 14-15, 2007
Conference: August 16-17, 2007
Sprints: August 18, 2007

Online Registration is now available. Early registration for the conference is $150.00.

Reference:
>> Scipy 2007

Related:
>> Interview with Pearu Peterson, the author of SciPy

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