A console is a command-line interpreter that takes input from the user (one command at a time) and interprets the input provided. If the input is error-free, the console executes the command and gives the desired output. In case of an error, it shows an error message. Below is a sample of a console, which you can use for python for data science.
To execute the command, we press the enter key, and the command gets interpreted. Understanding the basics of the console is necessary to do coding in Python.
The primary prompt of the Python console is the three successive greater than symbols (>>>). Python Console will only accept commands after the prompt.
Accepting Input from Console:
The users enter the value in the console, and it is there in the program as per requirement.
Built in function input() is there to take input from users.
# input
input1 = input()
# output
print(input1)
Typecasting the input to integer, float or string is possible by specifying the input() function inside the type.
- Typecasting input to integer in python for data science : There might be a requirement of integer input from user/console. The code to take two input(integer/float) from the console and typecast them to integer and then print the sum is given below.
# input
num1 = int(input())
num2 = int(input())
# printing the sum in integer
print(num1 + num2)
- Typecasting input to float: The following code is there to convert the input to float.
# input
num1 = float(input())
num2 = float(input())
# printing the sum in float
print(num1 + num2)
- Typecasting input to string: All kinds of input can be converted to a string. The keyword str is there for typecasting.
# input
string = str(input())
# output
print(string)
To know more about python, you can check this. Happy Learning!! PST Analytics!!
