ANN: AnacondaCON February 7-9, Austin TX --- Python powered Open Data Science Conference

interested in enterprise adoption of Python for data science and numerical / technical computing. I really hope to see you there. Best, Travis Oliphant -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/

A new webpage promoting Compiler technology for CPython

spreading, and so we welcome any and all contributions. Thank you, Travis Oliphant -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/

Join us for the 2nd Scientific Computing with Python Webinar

. This session's speakers will be me (Travis Oliphant) and Peter Wang. I will show off a bit of EPDLab which is an interactive Python environment built using IPython, Traits, and Envisage. Peter Wang will present a demo of Chaco and provide some examples of interactive visualizations

Join us for "Scientific Computing with Python Webinar"

Python Distribution. I (Travis Oliphant) will be the first speaker at this continuing series. I plan to present a brief (10-15) minute talk on reading binary files with NumPy using memory mapped arrays and structured data-types. This talk will be followed by a demonstration of Chaco for interactive

Join us for "Scientific Computing with Python Webinar"

participation feedback, but for now it is scheduled for the fourth Friday of every month. This free webinar should not be confused with the EPD webinar on the first Friday of each month which is open only to subscribers to the Enthought Python Distribution. I (Travis Oliphant) will be the

NumPy 1.0.3 released

We are pleased to announce the release of NumPy 1.0.3 Hopefully, this release will work better with multiple interpreters as well as having some significant bugs fixed. Other changes include * x/y follows Python standard on mixed-sign division for array scalars and numpy arrays * iinfo added t

NumPy 1.0.2 released

NumPy 1.0.2 has been released NumPy is a Python extension that provides a multi-dimensional array and basic mathematical processing to Python. NumPy also provides foundation for basic image and signal processing, linear algebra and Fourier transforms, and random number generation. NumPy also

SciPy 0.4.3 released (built against 0.6.1 of scipy_core)

Background: Full scipy builds on top of scipy_core to provide many more tools for computational science and engineering. Included are tools for optimization, integration (including ode solvers), signal processing, sparse matrices, complete FFTs, complete linear algebra, statistical functions,

SciPy Core (Numeric replacement) version 0.6.1 released

Background: Numeric is an add-on Python module that has seen widespread adoption. It enables Python to be used as a Scientific Computing Environment similar to MATLAB or IDL. Numeric was originally written nearly 10 years ago, and while still performing admirably, needed much updating to ta

SciPy Core (replacement for Numeric Python) first beta release

enhancements. The LICENSE is still a BSD style License---the same as old Numeric. More information can be found at the web-site: http://numeric.scipy.org The primary developer of scipy core (besides the original creators of Numeric upon which it is based) is Travis Oliphant ([EMAIL PROTECTED