J
jdh2358
I will be presenting a tutorial on matplotlib a this year's pycon. If
you are coming to the conference, are are already in the Chicago area,
you may want to consider signing up for the tutorial
http://us.pycon.org/2008/tutorials/
Tomorrow (Monday Feb 18th) is the deadline for registration. Here are
some snippets from the proposal which covers the topic list and some
additional info:
= Intended audience =
Tutorial attendees should be familiar with the basics of python and
numpy.
= Format description =
The tutorial is a 20-30 minute overview of matplotlib
capabilities, where the presenter will work interactively while
explaining the main features and capabilities of matplotlib. After
that, the rest of the tutorial will be interactive, hands on,
exercises, that are will be a mix of "type-along" tutorial with
students working through examples with help from the instructor.
= Promotional summary =
Matplotlib is a python 2D plotting library which produces
publication quality figures in a variety of hardcopy formats and
interactive environments across platforms. matplotlib can be used in
python scripts, the python and ipython shell (ala matlab or
mathematica), web application servers, and six graphical user
interface toolkits. The tutorial will cover basic plotting from the
python shell, and advanced topics like object oriented matplotlib,
using matplotlib in a user interface or web application server and
interactive event handling.
= Tutorial outline =
* 30 min: overview of capabilities and type along
* 30 min: interactive graphics from the python shell
* 30 min: object oriented matplotlib, web application servers and
embedding matplotlib in GTK, Qt, Tk, FLTK or WX
* 30 min: user interaction and event handling in matplotlib
* 30 min: advanced topics
* 30 min: question and answer
= Presenter =
The presenter is the original author and lea developer of matplotlib.
After many years in academia, where he developed scientific python
software for human intracortical epilepsy recording, he recently
departed the confines of academia for the financial industry, where
he continues to develop python based solutions for data analysis,
modeling and visualization.
= Previous presentations and tutorials =
* SciPy 2004-6 : matplotlib presentations
* PyCon 2005 : matplotlib presentation
* SciPy 2006 : led tutorial on data analsysis and visualization
with
Fernando Perez
* ChiPy : matplotlib presentation to the Chicago Python User's
Group
* UIC : scientific computing in python tutorial at Univ of
Illinois Chicago
* Py4Science : with Fernando Perez, teach 2 day seminar on
scientific computing in python. Sessions at Los
Alamos, UC Berkeley, Univ of Michigan, Claremont
Colleges
Hope to see you there! Let me know if you have any questions or topic
requests
JDH
you are coming to the conference, are are already in the Chicago area,
you may want to consider signing up for the tutorial
http://us.pycon.org/2008/tutorials/
Tomorrow (Monday Feb 18th) is the deadline for registration. Here are
some snippets from the proposal which covers the topic list and some
additional info:
= Intended audience =
Tutorial attendees should be familiar with the basics of python and
numpy.
= Format description =
The tutorial is a 20-30 minute overview of matplotlib
capabilities, where the presenter will work interactively while
explaining the main features and capabilities of matplotlib. After
that, the rest of the tutorial will be interactive, hands on,
exercises, that are will be a mix of "type-along" tutorial with
students working through examples with help from the instructor.
= Promotional summary =
Matplotlib is a python 2D plotting library which produces
publication quality figures in a variety of hardcopy formats and
interactive environments across platforms. matplotlib can be used in
python scripts, the python and ipython shell (ala matlab or
mathematica), web application servers, and six graphical user
interface toolkits. The tutorial will cover basic plotting from the
python shell, and advanced topics like object oriented matplotlib,
using matplotlib in a user interface or web application server and
interactive event handling.
= Tutorial outline =
* 30 min: overview of capabilities and type along
* 30 min: interactive graphics from the python shell
* 30 min: object oriented matplotlib, web application servers and
embedding matplotlib in GTK, Qt, Tk, FLTK or WX
* 30 min: user interaction and event handling in matplotlib
* 30 min: advanced topics
* 30 min: question and answer
= Presenter =
The presenter is the original author and lea developer of matplotlib.
After many years in academia, where he developed scientific python
software for human intracortical epilepsy recording, he recently
departed the confines of academia for the financial industry, where
he continues to develop python based solutions for data analysis,
modeling and visualization.
= Previous presentations and tutorials =
* SciPy 2004-6 : matplotlib presentations
* PyCon 2005 : matplotlib presentation
* SciPy 2006 : led tutorial on data analsysis and visualization
with
Fernando Perez
* ChiPy : matplotlib presentation to the Chicago Python User's
Group
* UIC : scientific computing in python tutorial at Univ of
Illinois Chicago
* Py4Science : with Fernando Perez, teach 2 day seminar on
scientific computing in python. Sessions at Los
Alamos, UC Berkeley, Univ of Michigan, Claremont
Colleges
Hope to see you there! Let me know if you have any questions or topic
requests
JDH