# Python for Basic Data Analysis

Start your data science journey with Python. Learn practical Python programming skills for basic data manipulation and analysis.

## Try It Yourself!

Here are some function exercises for you to apply what you have just learnt.

Templates for the answers have been given so just add on to it! If you don't want to use it that fine too. There are many ways you can write a function to do the same thing.

Have fun!

## Activity 1

You have 103 apples and would like to share them with 5 people. Write a function to find the remainder. Hints: `5 % 4` gives remainder when 5 divided by 4

```def remaining(total_apples,num_people):
"""return the remaining number of apples after dividing equally"""
return```

## Activity 2

Write a recursive function that will return the nth term of the Fibonacci sequence.

The sequence has a relationship of `Fn = Fn-1 + Fn-2` with `F0 = 0` and `F1 = 1`, where `n=0,1,2,3,4,5,...`

The sequence looks like: `0,1,1,2,3,5,8,13,...`

```def fibonaci(n):
"""return the full fibonaci sequence"""
if n == 0:
return 0

elif n == 1:
return 1```

## Activity 3

Write a function that will count how many odd numbers is present in a given list of integers.

Fill in the function below.

Hint: Use this list to check your function
[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]

```def count_odd_numbers(numbers):

count = 0
for i in ____:
if ____ % 2 == _____:
count += ____

return ____

```

## Activity 4

Write a lambda expression that will cube all the numbers in the list below

`num = [1,2,3,4,5,6,7,8]`