Python next() Function

Python Programming Training Certification


Flexible Hours

100 Assignments

Instructor Led online Training

50 LMS Access

24X7 Support

100% Skill Level

Enquire Now

4.9 out of 1000+ Ratings
Best Python Institute for Learning Python Course & Training, Live Project Training in Python with Django, Data Science and AI, Interview Assistance, Expert Coaching Trainers. Python Certification & Interview Assistance! Get free demo now!

Course Overview

Python is one of the world’s top programming languages used today and Python training has become the most popular training across individuals. Training Basket’s Python Training & Certification course covers basic and advanced Python concepts and how to apply them in real-world applications.Python is a flexible and powerful open-source language that is easy to learn and consists of powerful libraries for data analysis and manipulation. Our Python training course content is curated by experts as per the standard Industry curriculum. The curriculum, coding challenges and real-life problems cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. Take this Python training and certification course and become job-ready now.

Python next() Function

Python next() function is used to fetch next item from the collection. It takes two arguments an iterator and a default value and returns an element.

This method calls on iterator and throws an error if no item is present. To avoid the error, we can set a default value.

The signature of the function is given below.

Signature

  • next (iterator[, default])

Parameters

iterator: It is an iterator object.

default: This value returns if the element is not present.

Return

It returns an item from the collection.

Let’s see some examples of next() function to understand it’s functionality.

Python next() Function Example 1

Here, we are getting items using next() function. It does not require any loop or indices.

  • # Python next() function example
    number = iter([256, 32, 82]) # Creating iterator
    # Calling function
    item = next(number)
    # Displaying result
    print(item)
    # second item
    item = next(number)
    print(item)
    # third item
    item = next(number)
    print(item)

Output:

  • 256
    32
    82

Python next() Function Example 2

This function throws an error when reaches the end of the collection. See the example below.

  • # Python next() function example
    number = iter([256, 32, 82]) # Creating iterator
    # Calling function
    item = next(number)
    # Displaying result
    print(item)
    # second item
    item = next(number)
    print(item)
    # third item
    item = next(number)
    print(item)
    # fourth item
    item = next(number) # error, no item is present
    print(item)

Output:

  • Traceback (most recent call last):
    File “source_file.py”, line 14, in
    item = next(number)
    StopIteration
    256
    32
    82

Python next() Function Example 3

  • # Python next() function example
    number = iter([256, “javatpoint”, 82,]) # Creating iterator
    # Calling function
    item = next(number)
    # Displaying result
    print(item)
    # second item
    item = next(number)
    print(item)
    # third item
    item = next(number)
    print(item)
    # fourth item
    item = next(number, “No item is present”) # error, no item is present
    print(item)

Output:

  • 256
    javatpoint
    82
    No item is present

Python next() Function Example 4

Here, we are setting a default value. Now, it does not throw any error instead it returns the default value.

  • # Python next() function example
    number = iter([256, “javatpoint”, 82,]) # Creating iterator
    # Calling function
    item = next(number)
    # Displaying result
    print(item)
    # second item
    item = next(number)
    print(item)
    # third item
    item = next(number)
    print(item)
    # fourth item
    item = next(number, “No item is left”) # no error due to default value
    print(item)

Output:

  • 256
    javatpoint
    82
    No item is left

Recently Trained Students

Jessica Biel

– Infosys

My instructor had sound Knowledge and used to puts a lot of effort that made the course as simple and easy as possible. I was aiming for with the help of the ZebLearn Online training imparted to me by this organization.

Richard Harris

– ITC

I got my training from Zeblearn in the Python Certification Training, I would like to say that say he is one of the best trainers. He has not even trained me but also motivated me to explore more and the way he executed the project, in the end, was mind-blowing.


Candidate’s Journey During Our Training Program

Card image cap

Expert’s Advice & Selection of Module

Choosing the right type of module for the training is half the battle & Our Team of experts will help & guide you.

Card image cap

Get Trained

Get Trained & Learn End to End Implementation from our Expert Trainer who are working on the same domain.

Card image cap

Work on Projects

We Do make our student’s work on multiple case studies , scenario based tasks & projects in order to provide real-time exposure to them.

Card image cap

Placements

We have a dedicated placement cell in order to provide placement assistance & relevant interviews to our candididates till selection

Placement Partner

×

Leave your details

×

Download Course Content