Can I Create Interactive Applets with Python?

In summary, the conversation discusses different options for creating visualizations using Java and Python. The speaker mentions Falstad's visualizations with Java and their interest in using VPython for similar purposes. They also suggest checking out the VPython website and using modules like Visual and Numeric for 3D graphics. For 2D graphics, they recommend the Python Imaging Library. Other helpful resources mentioned include Numerical Python, Boost.Python, and PyOpenGL. The speaker expresses interest in trying out VPython and thanks the other person for the links.
  • #1
cscott
782
1
This guy has made a nice series of demonstrative applets with Java. I was wondering what I'd need with Python to do the same thing.
 
Last edited:
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  • #2
Falstad's visualizations are great.

I have been interested in using VPython to create visualizations along those lines... but I don't have a lot of free time right now.

Try http://www.vpython.org (which has Visual, a 3D OpenGL visualization module, and the Numeric module). Look at the contributed programs for a sense of what can be done.

For 2D graphics, you might try the Python Imaging Library
http://www.pythonware.com/products/pil/

These may also be helpful
Numerical Python http://sourceforge.net/projects/numpy
Boost.Python http://www.boost.org/libs/python/doc/
PyOpenGL http://pyopengl.sourceforge.net/
http://www.vrplumber.com/py3d.py
 
  • #3
VPython looks really good! I've only started experimenting with it but it has some impressive capabilities and seems easy to use.
 
  • #4
I'll definitely check it out. Thanks for all the links.
 

Related to Can I Create Interactive Applets with Python?

1. What is "Visualization with Python"?

"Visualization with Python" is the process of using the Python programming language to create visual representations of data. This can include charts, graphs, maps, and other types of visualizations.

2. Why is visualization important in scientific research?

Visualization allows scientists to easily and quickly analyze large amounts of data, identify patterns and trends, and communicate their findings to others. It also aids in understanding complex data and making data-driven decisions.

3. What are some popular libraries for visualization in Python?

Some popular libraries for visualization in Python include Matplotlib, Seaborn, Plotly, and Bokeh. These libraries offer a wide range of tools and customization options for creating various types of visualizations.

4. Can Python be used for interactive visualization?

Yes, Python can be used for interactive visualization. Libraries such as Plotly and Bokeh allow for the creation of interactive visualizations that can be embedded in websites or used in Jupyter notebooks.

5. Are there any resources available for learning visualization with Python?

Yes, there are many resources available for learning visualization with Python. Online tutorials, books, and courses can help beginners get started, and there are also advanced resources for more experienced users. Some popular resources include the official documentation for the visualization libraries, online communities, and video tutorials on platforms like YouTube.

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