jupytersketcher

======= Pysketcher =======

Tool for defining sketches of physics problems in terms of Python code.

===== Purpose =====

Pysketcher can typically be used to draw figures like

FIGURE: [doc/src/tut/fig-tut/wheel_on_inclined_plane, width=600 frac=0.6]

Such figures can easily be *interactively* made using a lot of drawing programs.
A Pysketcher figure, however, is defined in terms of computer code. This gives
a great advantage: geometric features can be parameterized in term
of variables, as here:

FIGURE: [doc/src/tut/fig-tut/vehicle0_dim, width=600 frac=0.6]

One can then quickly change parameters, here to
`R=0.5; L=5; H=2` and `R=2; L=7; H=1`, and get new figures that would be
tedious to draw manually in an interactive tool.

FIGURE: [doc/src/tut/fig-tut/vehicle_v23, width=800]

Another major feature of Pysketcher is the ability to let animate the
sketch. Here is an example of a very simple vehicle on a bumpy road,
where the solution of a differential equation (upper blue line) is fed
back to the sketch to make a vertical displacement of the spring and
other objects in the vehicle, "view animation": "http://hplgit.github.io/bumpy/doc/src/mov-bumpy/m2_k1_5_b0_2/index.html" (the animation was created by
"this Pysketcher script": "https://github.com/hplgit/bumpy/blob/master/doc/src/fig-bumpy/bumpy_road_fig.py").

FIGURE: [http://hplgit.github.io/bumpy/doc/src/mov-bumpy/m2_k1_5_b0_2/tmp_frame_0030.png, width=600]


===== Tutorial =====

For an introduction to Pysketcher, see the tutorial in "HTML": "http://hplgit.github.io/pysketcher/doc/pub/pysketcher.html", "Sphinx": "http://hplgit.github.io/pysketcher/doc/pub/html/index.html", or "PDF": "http://hplgit/github.io/pysketcher/doc/pub/pysketcher.pdf" format (or a simplified version of
the tutorial in Chapter 9 in "A Primer on Scientific Programming with Python": "http://www.amazon.com/Scientific-Programming-Computational-Science-Engineering/dp/3642549586/ref=sr_1_2?s=books&ie=UTF8&qid=1407225588&sr=1-2&keywords=langtangen", by H. P. Langtangen, Springer, 2014).

===== Examples =====

See the `examples` directory for some examples beyond the more basic
ones in the tutorial.
For example, a pendulum and its body diagram,

FIGURE: [examples/pendulum2, width=800 frac=1]

can be created by the program "`examples/pendulum.py`": "https://github.com/hplgit/pysketcher/tree/master/examples/pendulum.py".

===== Technology =====

Pysketcher applies Matplotlib to make the drawings, but it is quite
easy to replace the backend `MatplotlibDraw.py` by similar code utilizing
TikZ or another plotting package. The Pysketcher software is a thin
layer basically constructing a tree structure of elements in the
sketch. A lot of classes are offered for different type of basic
elements, such as Circle, Rectangle, Text, Text with arrow, Force,
arbitrary curve, etc.
Complicated figures can be created by sticking one
figure into another
(i.e., hierarchical building of figures by sticking one tree
structure into another).

===== Citation =====

If you use Pysketcher and want to cite it, you can either cite this
web site or the book
that has the original documentation of the tool.

BibTeX format:

!bc
@book{Langtangen_2014,
title = {A Primer on Scientific Programming With {P}ython},
author = {H. P. Langtangen},
year = {2014},
publisher = {Springer},
edition = {Fourth},
}

@misc{Pysketcher,
title = {{P}ysketcher: {D}rawing tool for making sketches},
author = {H. P. Langtangen},
url = {https://github.com/hplgit/pysketcher},
key = {Pysketcher},
note = {\url{https://github.com/hplgit/pysketcher}},
}
!ec

Publish format:

!bc
* books
** A Primer on Scientific Programming With {P}ython
key: Langtangen_2014
author: H. P. Langtangen
year: 2014
publisher: Springer
status: published
edition: Fourth
entrytype: book
* misc
** {P}ysketcher: {D}rawing tool for making sketches
key: Pysketcher
author: H. P. Langtangen
url: https://github.com/hplgit/pysketcher
status: published
sortkey: Pysketcher
note: \url{https://github.com/hplgit/pysketcher}
!ec

===== History =====

Pysketcher was first constructed as a powerful educational example on
object-oriented programming for the book
*A Primer on Scientific Programming With Python*, but the tool quickly
became so useful for the author that it was further developed and
heavily used for creating figures in other books by the author.