Grokking Data Science

Exercises: NumPy

Explore essential NumPy exercises designed to test and improve your skills in array creation, transformation, and statistical analysis. Learn how to manipulate data structures fundamental to Python programming for data science.

We'll cover the following...

- Time To Test Your Skills!
- - - Q1.Create a null vector (all zeros) of size 10 and set it in the variable called “Z”.
- - - Q2. Create a 1D array of numbers from 0 to 9 and set it in the variable called “arr”.
- - - Q3. Create a 3x3x3 array with random values and set it in the variable called “arr”.
- - - Q4. Create a 10x10 array with random values called “arr4”. Find its minimum and maximum values and set them in the variables called “min_val” and “max_val” respectively.
- - - Q5. First create a 1D array with numbers from 1 to 9 and then convert it into a 3x3 grid. Store the final answer in the variable called “grid”.
- - - Q6. Replace the maximum value in the given vector, “arr6”, with -1.
- - - Q7. Reverse the rows of the given 2D array, “arr7”.
- - - Q8. Subtract the mean of each row of the given 2D array, “arr8”, from the values in the array. Set the updated array in “transformed_arr8”.