Automatically cache results of intensive computations in IPython.
Inspired by ipycache.
$ pip install ipy-pdcache
In IPython:
In [1]: %load_ext ipy_pdcache
In [2]: import pandas as pd
In [3]: %%pdcache df data.csv
...: df = pd.DataFrame({'A': [1,2,3], 'B': [4,5,6]})
...:
In [4]: !cat data.csv
,A,B
0,1,4
1,2,5
2,3,6
This will cache the dataframe and automatically load it when re-executing the cell.