ExPy

The sophisticated tool needed for scientific computing.

• Documentation: https://youseitakei.github.io/expy
• Source code: https://github.com/YouseiTakei/expy
• Contributing: coming soon
• Bug reports: coming soon
• Website: coming soon

It provides:

• useful rendering formula, Formula deformation.
• simply converting Jupyter notebook to PDF based on nbconvert.

To get the latest version :

• from https://pypi.python.org/pypl/experiment-python/
• $ pip install expy-python

To get the latest version do:

• $ git clone git://github.com/YouseiTakei/expy.git
• $ cd expy
• $ python setup.py install

Documentation and usage:

• Everything is at: coming soon

From this directory, start Jupyter notebook and:

>>> from expy  import F, x_, y_,
>>> f = F(y_, x_**x_)
>>> f.set(x_, 0)
>>> f.tex()

Convert your Jupyter notebook. start cmd line and:

$ nbc -a -p -t

Usage Example:

Other Usage Hints:

• If you want to change template file, you can edit file in ~/.expy/latex/article.tplx
• If you don't have auth and can't install this, you can use $pip install expy-python --user
• If you can't convret pd.DataFrame, you should run 'ep.init_ep()'

Call for Contributions:

If you have found ExPy to be useful in your work, research or company, please consider making a donation to the project commensurate with your resources.