Jupyter consumes 100 disk

#delete the data
a, b, c = pd.DataFrame(), pd.DataFrame(), pd.DataFrame()
lst = [a, b, c]
del a, b, c # dfs still in list
del lst     # memory release now

#Track CPU and RAM usage
import psutil # gives a single float value
psutil.cpu_percent() # gives an object with many fields
psutil.virtual_memory()
dict(psutil.virtual_memory()._asdict()) # you can convert that object to a dictionary

Source: stackoverflow.com

Similar codes

0 vote320 views1 answer
Python socket set title
Python
13 votes329 views1 answer
Selenium getting started
Python
5 votes354 views3 answers
Correlation python
Python
0 vote319 views1 answer
Multiplication of matrix in python
Python
6 votes346 views3 answers
Sort a dictionary by value then key
Python
2 votes363 views1 answer
How to compare two text files in python
Python
1 vote360 views1 answer
Correr servidor django
Python Django
7 votes356 views1 answer
Get inverse dict python
Python
0 vote320 views3 answers
In is_lodes_form( : Missing id-axis pairings.
Python
2 votes341 views2 answers
Trim starting space python
Python