Project Description
Create a converter from Fahrenheit to celsius using the formula
°𝐶=(°𝐹−32)×5/9
Project
- Prompt the user for temperature in Fahrenheit
- Calculate the temperature in Celsius
- Print the result
Examples
75
→23.89
Step 1 Prompt the user
You can use the built-in function input() to prompt the user. Notice that it returns a string, which needs to be converted to float for further calculations. That can be done with the built-in function float().
# 1: prompt the user
fahrenheit_str = input('Input Fahrenheit: ')
fahrenheit = float(fahrenheit_str)
Step 2 Calculate the celsius temperature
We will use the formula. Notice that you can use round() to get 2 digits (or any number of precision if you change the second argument).
°C=(°F−32)×5/9
# 2: Caculate the celsius temperature
celsius = (fahrenheit - 32)*5/9
celsius = round(celsius, 2)
Step 3 Display the result
You can use the built-in function print() to display the result to the user.
# 3: dispaly result
print('Celsius', celsius)
The full code
The full code is given here.
# 1: prompt the user
fahrenheit_str = input('Input Fahrenheit: ')
fahrenheit = float(fahrenheit_str)
# 2: Caculate the celsius temperature
celsius = (fahrenheit - 32)*5/9
celsius = round(celsius, 2)
# 3: dispaly result
print('Celsius', celsius)
Learn Python

Learn Python A BEGINNERS GUIDE TO PYTHON
- 70 pages to get you started on your journey to master Python.
- How to install your setup with Anaconda.
- Written description and introduction to all concepts.
- Jupyter Notebooks prepared for 17 projects.
Python 101: A CRASH COURSE
- How to get started with this 8 hours Python 101: A CRASH COURSE.
- Best practices for learning Python.
- How to download the material to follow along and create projects.
- A chapter for each lesson with a description, code snippets for easy reference, and links to a lesson video.
Expert Data Science Blueprint

Expert Data Science Blueprint
- Master the Data Science Workflow for actionable data insights.
- How to download the material to follow along and create projects.
- A chapter to each lesson with a Description, Learning Objective, and link to the lesson video.
Machine Learning

Machine Learning – The Simple Path to Mastery
- How to get started with Machine Learning.
- How to download the material to follow along and make the projects.
- One chapter for each lesson with a Description, Learning Objectives, and link to the lesson video.
Awesome! Its genuinely remarkable post, I have got much clear idea regarding from this post
Thank you. I am happy to hear that.