- Python Programming with Raspberry Pi
- Sai Yamanoor Srihari Yamanoor
- 329字
- 2021-07-02 23:48:43
Reading inputs from the user
In the previous chapter, we printed something on the screen for the user. Now, we will discuss a simple program where we ask the user to enter two numbers and the program returns the sum of two numbers. For now, we are going to pretend that the user always provides a valid input.
In Python, user input to a Python program can be provided using the input() function (https://docs.python.org/3/library/functions.html#input):
var = input("Enter the first number: ")
In the preceding example, we are making use of the input() function to seek the user's input of the number. The input() function takes the prompt ("Enter the first number: ") as an argument and returns the user input. In this example, the user input is stored in the variable, var. In order to add two numbers, we make use of the input() function to request user to provide two numbers as input:
var1 = input("Enter the first number: ")
var2 = input("Enter the second number: ")
total = int(var1) + int(var2)
print("The sum is %d" % total)
We are making use of the input() function to seek user input on two numbers. In this case, the user number is stored in var1 and var2, respectively.
The user input is a string. We need to convert them into integers before adding them. We can convert a string to an integer using the int() function (https://docs.python.org/3/library/functions.html#int).
The int() function takes the string as an argument and returns the converted integer. The converted integers are added and stored in the variable, total. The preceding example is available for download along with this chapter as input_function.py.
If the user input is invalid, the int() function will throw an exception indicating that an error has occurred. Hence, we assumed that user inputs are valid in this example. In a later chapter, we will discuss catching exceptions that are caused by invalid inputs.
The following snapshot shows the program output:

The input_function.py output
- Microsoft Power BI Quick Start Guide
- Canvas LMS Course Design
- Learning Microsoft Azure Storage
- 機器學習及應用(在線實驗+在線自測)
- Hands-On Machine Learning on Google Cloud Platform
- Learning Apache Cassandra(Second Edition)
- 群體智能與數據挖掘
- 深度學習中的圖像分類與對抗技術
- 大數據處理平臺
- Ceph:Designing and Implementing Scalable Storage Systems
- Implementing Splunk 7(Third Edition)
- 計算機與信息技術基礎上機指導
- 工業自動化技術實訓指導
- 在實戰中成長:C++開發之路
- 大數據:引爆新的價值點