Go to file
kuzand 5b18530d79
Another solution to question 96.
We can use np.unique with axis=0 to return unique rows of an array. For NumPy >= 1.13
2018-11-02 15:55:56 +02:00
.gitignore Add notebook checkpoints to gitignore 2016-10-18 00:08:40 +02:00
100_Numpy_exercises_no_solution.ipynb Exercise 17 corrected after #22 2018-10-31 11:53:50 +03:00
100_Numpy_exercises_no_solution.md Exercise 17 corrected after #22 2018-10-31 11:53:50 +03:00
100_Numpy_exercises_with_hint.ipynb Exercise 17 corrected after #22 2018-10-31 11:53:50 +03:00
100_Numpy_exercises_with_hint.md Exercise 17 corrected after #22 2018-10-31 11:53:50 +03:00
100_Numpy_exercises.ipynb Exercise 17 corrected after #22 2018-10-31 11:53:50 +03:00
100_Numpy_exercises.md Another solution to question 96. 2018-11-02 15:55:56 +02:00
LICENSE.txt Fix typo and add a MIT license 2016-07-15 17:11:25 -05:00
README.md fix file name add 2018-06-08 17:49:17 +04:30
requirements.txt Added requirements for binder 2016-07-15 07:52:18 -05:00

100 numpy exercises

Binder

This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. Ive also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach.

Test them on Binder
Read them on GitHub

This work is licensed under the MIT license.
DOI