Your SlideShare is downloading. ×
0
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Scientific Computing with Python Webinar --- June 19, 2009
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Scientific Computing with Python Webinar --- June 19, 2009

2,820

Published on

These are the slides from the June 19, 2009 edition of the Python for Scientific Computing Webinar.

These are the slides from the June 19, 2009 edition of the Python for Scientific Computing Webinar.

Published in: Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
2,820
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
109
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • These clients primarily represent the scientific contracting that we’ve done. Several unlisted clients made up half our revenues up through 2004.
  • This begins the technical overview—this section of our presentation was interspersed with several live demos which I’ll not try to duplicate here.
  • Transcript

    • 1. EPDLab and Chaco Demo June 19, 2009
    • 2. http:// www.enthought.com /
    • 3. Enthought Python Distribution (EPD) MORE THAN FIFTY INTEGRATED PACKAGES
      • Python 2.5.2
      • Science (NumPy, SciPy, etc.)
      • Plotting (Chaco, Matplotlib)
      • Visualization (VTK, Mayavi)
      • Multi-language Integration (SWIG,Pyrex, f2py, weave)
      • Database (MySQL, SQLLite, etc.)
      • Data Storage (HDF, NetCDF, etc.)
      • Networking (twisted)
      • User Interface (wxPython, Traits UI)
      • Enthought Tool Suite (Application Development Tools)
    • 4. Enthought Python Distribution (EPD)
    • 5. Enthought Python Distribution (EPD) Selections from our training courses including: explanations, demonstrations, and tips For subscribers to Enthought Python Distribution (EPD) Offered once a month for 60-90 minutes depending on questions
    • 6. Enthought Training Courses Python Basics, NumPy, SciPy, Matplotlib, Traits, TraitsUI, Chaco…
    • 7. Upcoming Training Classes September 21 – 25, 2009 Introduction to Scientific Computing with Python Austin, Texas October 19 – 22, 2009 Python for Science, Eng., and Financial Analysis Silicon Valley, California November 9 – 12, 2009 Python for Science, Eng., and Financial Analysis Chicago, Illinois December 7 – 11, 2009 Introduction to Scientific Computing with Python Austin, Texas http://www.enthought.com/training/
    • 8. Enthought Tool Suite http:// code.enthought.com /
    • 9. Database Access Compliance Tools Equipment Interface Scientific Algorithms UI Elements Testing Framework Scripting Interface Chaco Plotting Data Display Rich Client App (Geophysics, Finance, Etc)
    • 10.  
    • 11. EPDLab
      • A very alpha prototyping environment
      • Useful for simple experimentation
      • Similar to ipython –wthread with a separate editor (but more integrated)
      • A second example of using the Enthought Tool Suite
      • Open Source tool --- community feedback encouraged.
    • 12. Chaco: Interactive Graphics

    ×