<meta charset="utf-8"><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; ">This email was sent to me at UC Berkeley and I thought I'd pass it along to any BayPIGgies who may be interested...</span></div>
<div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><br></span></div><div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><br>
</span></div><div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><br></span></div><div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><br>
</span></div><div><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; border-collapse: collapse; "><br></span></div>Subject: New CSE course in "Python for Scientific Computing"<br>
<br><br>I wanted to call your attention to a new Computational Science and Engineering (CSE;<a href="http://cse.berkeley.edu/" target="_blank" style="color: rgb(7, 77, 143); ">http://cse.berkeley.edu/</a>) seminar class called "Python for Scientific Computing," being organized by Josh Bloom, a professor in the astronomy department. The course (AY250; CCN 06180) may be taken for credit by undergraduates or graduate students and may be audited by anyone contacting the professor directly (<a href="mailto:jbloom@astro.berkeley.edu" target="_blank" style="color: rgb(7, 77, 143); ">jbloom@astro.berkeley.edu</a>). The course meets Mondays 2-5pm at Hearst 310. The first meeting (this Monday) is optional. The course starts in earnest the Monday after Labor Day.<br>
<br>Here is a short description of the course:<br><br>This seminar-based course, based on the Python (<a href="http://python.org" target="_blank" style="color: rgb(7, 77, 143); ">python.org</a>) language, provides a detailed overview of the techniques and core packages used in modern scientific research computing. It is intended for upper-division undergraduates and first/second year graduate students in the physical science disciplines. <br>
The Python language, and associated packages, provides a powerful open-source framework suitable for many, if not most, research needs in data-intensive disciplines. It is an object-oriented scripting language that is draws the best elements from many often-used languages in science research (Perl, Interactive Data Language [IDL], C++, Java, Matlab, Fortran, Ruby, ..), is easily connected to legacy C and Fortran codes, makes use of architecture-tuned vector and matrix manipulation packages, has mature plotting and statistical/physical packages, and can be straightforwardly parallelized on multicore and distributed hardware infrastructures.<br>
</span><br><div><br></div><div>Cheers,</div><div><br></div><div>Glen<br>-- <br>Whatever you can do or imagine, begin it;<br>boldness has beauty, magic, and power in it.<br><br>-- Goethe <br>
</div>