This source for this project can be found on GitLab at https://gitlab.com/joelostblom/session_info.
session_info can be used from a script like so:
import math
import natsort
import pandas
import session_info
session_info.show()Output:
Session information:
-----
natsort 7.1.1
pandas 1.2.2
session_info 1.0.0
-----
IPython 7.23.0
jupyter_client 6.1.12
jupyter_core 4.7.1
-----
Python 3.9.2 | packaged by conda-forge | (default, Feb 21 2021, 05:02:46) [GCC 9.3.0]
Linux-5.11.13-arch1-1-x86_64-with-glibc2.33
-----
Session information updated at 2021-05-06 09:59
The default behavior is to only output modules not in the standard library,
which is why the math module is omitted above (it can be included by
specifying std_lib=True). To include not only the explicitly imported
modules, but also any dependencies they import internally, specify dependencies=True.
When session_info is invoked from a Jupyter Notebook,
the output is concealed in <details> tags
and will only show when clicked.
Since this saves visual real estate,
any modules imported indirectly as dependencies
will be included by default
and it looks like this:
Click to view session information
----- natsort 7.1.1 pandas 1.2.2 session_info 1.0.0 -----
Click to view modules imported as dependencies
backcall 0.2.0 cython_runtime NA dateutil 2.8.1 decorator 5.0.7 ipykernel 5.5.3 ipython_genutils 0.2.0 jedi 0.18.0 numpy 1.20.2 parso 0.8.2 pexpect 4.8.0 pickleshare 0.7.5 prompt_toolkit 3.0.18 ptyprocess 0.7.0 pygments 2.8.1 pytz 2021.1 six 1.15.0 storemagic NA tornado 6.1 traitlets 5.0.5 wcwidth 0.2.5 zmq 22.0.3
----- IPython 7.23.0 jupyter_client 6.1.12 jupyter_core 4.7.1 ----- Python 3.9.2 | packaged by conda-forge | (default, Feb 21 2021, 05:02:46) [GCC 9.3.0] Linux-5.11.13-arch1-1-x86_64-with-glibc2.33 ----- Session information updated at 2021-05-06 09:59