ExPy

The sophisticated tool needed for scientific computing.

• Documentation: https://tsei.jp/expy
• Source code: https://github.com/tseijp/expy
• Contributing: https://github.com/tseijp/expy/pulls
• Bug reports: https://github.com/tseijp/expy/issues
• Website: https://tsei.jp/expy
• Contact contact@tsei.jp

It provides:

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

To get the latest version :

• from https://pypi.python.org/project/expy-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

From this directory, start Jupyter notebook and:

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

Convert your Jupyter notebook. start cmd line and:

$ expy -a -p -t

Usage Example:

|Usage|Detail|
|expy -h| check args help|
|expy -i test.ipynb| convert to pdf|
|expy -a test_dir | convert all file in your directory|
|expy -r test.pdf | remove converted pdf file or all files in directory|
|expy -i test.ipynb -o html| convert to html|
|expy -a test_dir -o html| convert all files to html|
|expy -r test_dir -o html| remove all html files in directory|
|expy -i test.ipynb -p result\today\ | use output path|
|expy -i test.ipynb -t data\article.tplx| use your template|

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 'expy.init_ep()'