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rossant / ipycache

Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistent pickle file
BSD 3-Clause "New" or "Revised" License
138 stars 35 forks source link

Import pickle #48

Open rutujar opened 5 years ago

rutujar commented 5 years ago

How to install pickle or cpickle in Python3 for ubuntu 16. 04?
Is there any documentation for pickle pls share it.

cpuodzius commented 5 years ago

I'm having the same problem

eldad-a commented 4 years ago

In case this is still useful, try:

pip install git+https://github.com/rossant/ipycache --upgrade

as suggested here: 46#issuecomment-570160148

NB: Upon running %load_ext ipycache, expect ShimWarning and UserWarning, something like:

.../lib/python3.7/site-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated since IPython 4.0. You should import from traitlets.config instead.
  "You should import from traitlets.config instead.", ShimWarning)
.../lib/python3.7/site-packages/ipycache.py:17: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.
  from IPython.utils.traitlets import Unicode

One way to circumvent the Warnings is to modify in ipycache.py (note the lines which include # replaced):

from traitlets.config.configurable import Configurable # replaced   `from IPython.config.configurable import Configurable`
from IPython.core import magic_arguments
from IPython.core.magic import Magics, magics_class, line_magic, cell_magic
from traitlets import Unicode # replaced `from IPython.utils.traitlets import Unicode` ; see https://github.com/rossant/ipycache/pull/44/commits/7573eaefe409ec5b47c63e63001a3d6f2ea38fae

from IPython.utils.io import CapturedIO, capture_output
from IPython.display import clear_output

Also note that 46#issuecomment-581871198, where the @rossant wrote:

"I'm no longer maintaining this repository but could give github/pypi permissions to anyone who would volunteer to maintain it"

Finally, some alternative approaches to caching are discussed here:

Review notebook cacheing and execution packages #3;

Also found dask.cache and cachey, which I have not had the chance to explore yet.