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# Introduction Python isfinite() Method with Examples

Python isfinite() is a library method of math module, it is used to check whether a given number is a finite number of not, it accepts a number (integer/float, finite, infinite or NaN), and returns True if number neither an infinity nor a NaN (Not A Number), else it returns False.

## Python isfinite()

### Syntax

``````math.isfinite(x)

``````

### Parameter(s):

• x – a number that has to be checked whether it is finite or not.

### Return value:

The isfinite() function returns two types of output:

• `True`: If the number is finite.

• `False`: If the number is not finite.

## Examples of Python isfinite() method

### Example 1

``````import math
a = 6
b = 7.54
c = 8+0.54
d = 0*4
e = float("inf")
f = float("NaN")

print(math.isfinite(a))
print(math.isfinite(b))
print(math.isfinite(c))
print(math.isfinite(d))
print(math.isfinite(e))
print(math.isfinite(f))

``````

Output

``````
True
True
True
True
False
False

``````

### Example 2

Pass string as an argument in Python isfinite()
If we pass a string as an argument, then we should get an error.

``````# Importing math library
import math

print(math.isfinite('Nano'))

``````

Output

``````
python3 app.py
Traceback (most recent call last):
File "app.py", line 4, in <module>
print(math.isfinite('Nano'))
TypeError: must be real number, not str

``````

If we pass a string as an argument, then we got the TypeError.

### Example 3

Pass empty value as an argument
If we pass the empty values as an argument, then let’s see what we will get?

``````# Importing math library
import math

print(math.isfinite())

``````

Output

``````
Traceback (most recent call last):
File "app.py", line 4, in <module>
print(math.isfinite())
TypeError: isfinite() takes exactly one argument (0 given)

``````

So, we get: TypeError: isfinite() takes exactly one argument (0 given).

The function requires a minimum one argument, and if we don’t pass that, then we get TypeError.

#python #programming

## Buddha Community  1619518440

## top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

### 8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners 1619510796

## Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map 1597751700

## How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

### 1. init

``````class AnyClass:
def __init__():
print("Init called on its own")
obj = AnyClass()
``````

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

``````Init called on its own
``````

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

``````class AnyClass:
def __init__(self, var):
self.some_var = var
return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2
``````

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python 1602968400

## Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

### Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

``````>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
``````

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development 1602666000

## How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.

### Intro

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it. There’s a variety of hashing algorithms out there such as

• md5
• sha1
• sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips