#!/usr/bin/env python
# coding: utf-8

# ## Adapted from :
# 
# ### 100 numpy exercises
# 
# This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. 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.
# 
# 
# If you find an error or think you've a better way to solve some of them, feel free to open an issue at <https://github.com/rougier/numpy-100>

# #### 1. Import the numpy package under the name `np` (★☆☆)

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# #### 2. Print the numpy version and the configuration (★☆☆)

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# #### 3. Create a null vector of size 10 (★☆☆)

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# #### 6.  Create a null vector of size 10 but the fifth value which is 1 (★☆☆)

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# #### 7.  Create a vector with values ranging from 10 to 49 (★☆☆)

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# #### 8.  Reverse a vector (first element becomes last) (★☆☆)

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# #### 9.  Create a 3x3 matrix with values ranging from 0 to 8 (★☆☆)

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# #### 10. Find indices of non-zero elements from \[1,2,0,0,4,0\] (★☆☆)

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# #### 11. Create a 3x3 identity matrix (★☆☆)

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# #### 12. Create a 3x3x3 array with random values (★☆☆)

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# #### 13. Create a 10x10 array with random values and find the minimum and maximum values (★☆☆)

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# #### 14. Create a random vector of size 30 and find the mean value (★☆☆)

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# #### 15. Create a 2d array with 1 on the border and 0 inside (★☆☆)

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# #### 16. How to add a border (filled with 0's) around an existing array? (★☆☆)

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# #### 18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆)

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# #### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)

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# #### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element?

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# #### 22. Normalize a 5x5 random matrix (★☆☆)

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# #### 24. Multiply a 5x3 matrix by a 3x2 matrix (real matrix product) (★☆☆)

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# #### 25. Given a 1D array, negate all elements which are between 3 and 8, in place. (★☆☆)

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# #### 26. What is the output of the following script? (★☆☆)

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# Author: Jake VanderPlas

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


# #### 27. Consider an integer vector Z, which of these expressions are legal? (★☆☆)

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Z**Z
2 << Z >> 2
Z <- Z
1j*Z
Z/1/1
Z<Z>Z


# #### 28. What are the result of the following expressions?

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print(np.array(0) / np.array(0))
print(np.array(0) // np.array(0))
print(np.array([np.nan]).astype(int).astype(float))


# #### 29. How to round away from zero a float array ? (★☆☆)

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# #### 30. How to find common values between two arrays? (★☆☆)

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# #### 36. Extract the integer part of a random array using 5 different methods (★★☆)

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# #### 37. Create a 5x5 matrix with row values ranging from 0 to 4 (★★☆)

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# #### 39. Create a vector of size 10 with values ranging from 0 to 1, both excluded (★★☆)

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# #### 40. Create a random vector of size 10 and sort it (★★☆)

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# #### 42. Consider two random array A and B, check if they are equal (★★☆)

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# #### 45. Create random vector of size 10 and replace the maximum value by 0 (★★☆)

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# #### 46. Create a structured array with `x` and `y` coordinates covering the \[0,1\]x\[0,1\] area (★★☆)

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# #### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)

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# #### 50. How to find the closest value (to a given scalar) in a vector? (★★☆)

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# #### 58. Subtract the mean of each row of a matrix (★★☆)

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# #### 61. Find the nearest value from a given value in an array (★★☆)

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