Fortunately, any() in Python is such a tool. It looks through the elements in an iterable and returns a single value indicating whether any element is true in a Boolean context, or truthy.In this tutorial, you’ll learn:How to use any() How to decide between any() and or...
To create scripts and modules, you can use a code editor or an integrated development environment (IDE), which are the second and third approaches to coding in Python. REPLs (Read-Evaluate-Print Loops) Although you can create functions in an interactive session, you’ll typically use the ...
In Python, you can use a concise syntax for simpleif/elsestatements. This is known as the Ternary Operator. It’s a one-liner conditional expression that evaluates to a value based on a condition. Example: num=int(input("Enter a number: "))result="Even"ifnum%2==0else"Odd"print(resul...
This Python tutorial will teach you to useIf Not in Python, with multiple examples and realistic scenarios. TheNot operator is a logical operator in Pythonthat can be used in theIf condition. It returns theopposite result of the condition. This means thatif the condition is Truebut you are ...
NumPy library has many functions to create the array in python. where() function is one of them. Some operations can be done at the time of array creation based on the condition by using this function. How to use python NumPy where() function with multip
evaluating to either true or false. In many cases, we will want a program that evaluates more than two possible outcomes. For this, we will use anelse ifstatement, which is written in Python aselif. Theelifor else if statement looks like theifstatement and will evaluate another condition....
condition before the termination condition appears. Thecontinuestatement is used within any loop to omit one or more statements of the loop based on any specific condition but it is not used to terminate the loop. How these statements are used inside the python loop are shown in this tutorial...
Python Pandas ‘Add New Column Based On Condition’ You can follow the below steps in Pandas to create new column based on condition. Step 1 - Import the library import pandas as pd import numpy as np We have imported pandas and numpy. No other library is needed for this function. ...
Python program to select elements of an array given condition # Import numpyimportnumpyasnp# Creating two numpy arraysarr1=np.array([5,2,3,1,4,5]) arr2=np.array([6,7,3,1,2,1])# Display original arraysprint("Original Array 1:\n",arr1,"\n")print("Original Array 2:\n",arr2...
print('Python Guide') In the above code: The integer value “45” is initialized. The “if” statement is utilized with the combination of the “OR” operator to compare the compound condition. The “OR” operator returns a true Boolean value if any operand conditions become true. ...