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Get started on your learning journey towards data science using Python. Equip yourself with practical skills in Python programming for the purpose of basic data manipulation and analysis.

**Replace all odd numbers in the given array with -1**

Start with:

exercise_1 = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

Desired output:

[ 0, -1, 2, -1, 4, -1, 6, -1, 8, -1]

**Convert a 1-D array into a 2-D array with 3 rows**

Start with:

exercise_2 = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8])

Desired output:

[[ 0, 1, 2] [3, 4, 5] [6, 7, 8]]

**Add 202 to all the values in given array**

Start with:

exercise_3 = np.arange(4).reshape(2,-1)

Desired output:

[[202, 203] [204, 205]]

**Generate a 1-D array of 10 random integers. Each integer should be a number between 30 and 40 (inclusive)**

Sample of desired output:

[36, 30, 36, 38, 31, 35, 36, 30, 32, 34]

Your answer may contain different values but should fulfill the question requirements.

**Find the positions of:**

**elements in x where its value is more than its corresponding element in y, and****elements in x where its value is equals to its corresponding element in y.**

Start with these:

x = np.array([21, 64, 86, 22, 74, 55, 81, 79, 90, 89]) y = np.array([21, 7, 3, 45, 10, 29, 55, 4, 37, 18])

Desired output:

(array([1, 2, 4, 5, 6, 7, 8, 9]),) and (array([0]),)

**Extract the first four columns of this 2-D array**

Start with this:

exercise_6 = np.arange(100).reshape(5,-1)

Desired output:

[[ 0 1 2 3] [20 21 22 23] [40 41 42 43] [60 61 62 63] [80 81 82 83]]