While creating a model or simply working in jupyter-notebook sometimes there is a need of an overview of variables in the memory. Besides extensions which I rarely use, what other options do we have? Apparently %whos is a cell magic that combines locals(), shape for dataframes and type() without a need to dig through locals() dict keys and values.

Output looks like this:

Variable         Type         Data/Info
---------------------------------------
data1_u          DataFrame         0  0.1  0.2       0.<...>n[503 rows x 555 columns]
data1_v          DataFrame         0  0.1  0.2  0.3    <...>n[503 rows x 555 columns]
data2_u          DataFrame         0  0.1  0.2       0.<...>n[503 rows x 555 columns]
data2_v          DataFrame         0  0.1  0.2  0.3    <...>n[503 rows x 555 columns]
filename_pairs   list         n=100
mask             DataFrame         1  1.1  1.2  1.3  1.<...>n[503 rows x 555 columns]
np               module       <module 'numpy' from '/us<...>kages/numpy/__init__.py'>
pd               module       <module 'pandas' from '/u<...>ages/pandas/__init__.py'>
plt              module       <module 'matplotlib.pyplo<...>es/matplotlib/pyplot.py'>
u                str          1u.csv
v                str          1v.csv

Nice, no?