Numbers
- Not a number
float('nan'). This is often seen in0/0- In numpy, this is
np.nan. To check, it’snumpy.isnan()
- In numpy, this is
Print Options
- Multiline Printing
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print(f'''
line 1
line2
''')
- Print float with 2 decimal digits
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print(f"{test_acc:.2f}%")
shutil
- remove non-empty directory:
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shutil.rmtree(DIR)
For-Else Loop
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k = 10
for i in range(k):
print(k)
break
else:
print("hello")
