How do I get the documentation of some numpy function from command line?

`help()`

will do the trick for you. For example, you want to check how to use the `numpy.sort()`

, all you need to type in the command line is `help(numpy.sort)`

. Before then, you need to `import numpy`

before hand, and if you import numpy with alias, say `import numpy as np`

, you then need to type `help(np.sort)`

.

Hope this helps.

You can see it as the first part before the comma is for row and 2nd is column.

Hi All,

I am struggling to understand the concept behind the below result,

Can any on e help with this ?

```
print(sum(range(5),-1))
from numpy import *
print(sum(range(5),-1))
```

Output : 9 and 10

Use just want to write the answer of the following commands.

Thanks aakash for this great exercises this will help us to get into numpy.

- Print the numpy version and the configuration (★☆☆) ??

which version he is taking about ?

Where to post the 100 numpy exercises sir

why 0.3 == 3*0.1 gives false result

You do not turn this in; it is simply for your education and to become familiar with NumPy

It is because of the way that digits are represented in binary, I believe. It technically IS equivalent, however the bit representations are not the same.

Does below code make sense to get indices of non-zero entries in a vector?

arr1=np.array([1,2,0,0,4,0])

null_arr=np.zeros((6))

compare=(arr1==null_arr)

for i in range(len(compare)):

if compare[i] ==False:

print(i)

They are asking the numpy version you are using!

try writing…

…

import numpy as np

np.version.version

…

it will print out the version!

Hello guys, been working on the 100 numpy exercises.

I am currently at no. 51 and will most likely keep working on it until the end.

I hope these help somebody. Cheers

I’ve been continuing to work on the 100 Numpy exercises and #29 seemed a lot harder to me than the one star indicated. It asked us to round away from zero and as far as I can tell, there are no built-in Numpy functions that will do that. This is what I ended up with, however, I am wondering if there was something that I missed with this exercise?

You can take the ceiling of absolute values while preserving the sign of the original value.

**print(np.copysign(np.ceil(np.abs…)))**

How to write the code for print the numpy version and configuration?

Most python modules have a variable named `__version__`

which you can print to see what version is installed. The numpy module has a utility routine for showing the config which you can find in the documentation at https://numpy.org/doc/stable/reference/routines.html

It works. However, you may skip the use of `null_arr`

and `compare`

, and just simply compare each element of the array `arr1`

against 0 (zero).