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

- Home
- Python Essentials for Data Analysis IToggle Dropdown
- 1.1 Getting started - Hello, World!
- 1.2 Variables
- 1.3 Data types
- 1.4 Printing
- 1.5 Lists
- 1.6 Dictionaries
- 1.7 Input function
- 1.8 Arithmetic operators
- 1.9 Comparison operators
- 1.10 Logical operators
- 1.11 Identity operators
- 1.12 Membership operators
- 1.13 Conditional statements (if-elif-else)
- 1.14 Importing modules
- 1.15 For loops
- 1.16 While loops

- Python Essentials for Data Analysis II
- 2.1 Introduction to Functions in Python
- 2.2 Functions - Arguments
- 2.3 Functions with Return Values
- 2.4 Functions - A Fun Exercise!
- 2.5 Functions - Arbitrary Arguments (*args)
- 2.6 Functions - Arbitrary Keyword Arguments (**kwargs)
- 2.7 Recursive Functions
- 2.8 Lambda Expressions
- 2.9 Functions - More Exercises

- Data Analysis with PandasToggle Dropdown
- PD.1 Introduction to Pandas
- PD.2 Basics of Pandas
- PD.3 Finding and Describing data
- PD.4 Assigning Data
- PD.5 Manipulating Data
- PD.6 Handling Missing Data
- PD.7 Removing and adding data
- PD.8 Renaming data
- PD.9 Combining data
- PD.10 Using Pandas with other functions/mods
- PD.11 Data classification and summary
- PD.12 Data visualisation

- Data Analysis with NumPyToggle Dropdown
- NP.1 Introduction to NumPy
- NP.2 Create Arrays Using lists
- NP.3 Creating Arrays with NumPy Functions
- NP.4 Array Slicing
- NP.5 Array Reshaping
- NP.6 Math with NumPy I
- NP.7 Combining 2 arrays
- NP.8 Adding elements to arrays
- NP.9 Inserting elements into arrays
- NP.10 Deleting elements from arrays
- NP.11 Finding unique elements and sorting
- NP.12 Math with NumPy II
- NP.13 Analysing data across arrays
- NP.14 NumPy Exercises

- Learning Resources
- Contact Us

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!

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

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]

[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 ____

- Last Updated: Jun 24, 2024 9:14 AM
- URL: https://libguides.ntu.edu.sg/python
- Print Page

You are expected to comply with University policies and guidelines namely, Appropriate Use of Information Resources Policy, IT Usage Policy and Social Media Policy.
Users will be personally liable for any infringement of Copyright and Licensing laws.

Unless otherwise stated, all guide content is licensed by CC BY-NC 4.0.