We Want to Hear From You. Help Us Crown the Most Loved Headphones and Earbuds of 2026


CNET just launched People’s Picks, a series of surveys where actual humans vote for the products and services you use. This month, we want you to weigh in on your favorite headphones and earbuds. We’ll pick a winner based on which ones you love the most. 

Why we want to hear from you

Our writers and editors test hundreds of products each year, but your real-world experience with these devices is something we can’t replicate in our labs. You’ve used these headphones at the gym, on your commute to work and on long flights, and that perspective is invaluable. Your voice helps others know about the headphones or earbuds you love, too.

“I review a lot of headphones and earbuds for CNET, and there are plenty of great models from the top brands in this survey that I rate highly. I’m always curious about what models people ultimately choose and why, so I’m excited to get your feedback and learn the results of this survey,” says David Carnoy, CNET’s executive editor and headphones expert.

With our survey, we’ll collect answers from real-world users like you. The headphones and earbuds chosen through our 3-minute survey will be featured in our People’s Picks roundup of the top picks based on your recommendation.

Watch this: AirPods Pro Alternatives. Great Sound for Less, but Is That Enough? | All Things Mobile

Make your voice heard

Whether you swear by a pair of $25 earbuds or love a pair of high-end headphones, your pick counts. The survey takes just a few minutes to complete, and after we gather enough information, we’ll tally the results and publish the winners.

Not sure what to pick? Check out our Best Headphones to revisit your favorites before voting.





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Python Partial Function – Table of Content

Python partial function

A partial function is one of the tools in the Functools module. ‘Functools’ is a module provided by python for higher-order functions, i.e., act on or return other functions. ‘Functools’ contains tools for functional-style programming. 

Partial functions help in calling another function with the positional arguments (args) and keyword arguments (keywords). We can fix some values in certain arguments.We can create new functions without having to replicate the body of the original function. 

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Creating a partial function

Let us create a partial function that calculates the cube roots of the given numbers.

from functools import partial

#Create a function

def exponent(a,b):        

return a ** b

#Create a partial function that calculates cube roots

result = partial(exponent,3)

print(result(4))

The first function is for defining exponent arguments. The second function ‘result’ is created for fixing the value ‘3’ in the arguments to send to the main function – exponent. The output for the above program will be 81. If you want to generate square roots of given numbers, you can just replace the value ‘3’ with ‘2’ in the result partial function.


Here is one more program which performs multiplication of different numbers. 

from functools import partial

def expression(a,b,c,d):

return a*2 + b*3 + c*4 + d

result = partial(expression,5,6,7)

print(result(10))

The output for this program will be 66.

 

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Benefits of partial functions

Here are some benefits of using partial functions in your code.

  • We can construct variants of existing functions.
  • Partial functions are used to derive values from normal functions.
  • A partial function is similar to bind functionality in c++.
  • We can call the partial functions in multiple places of our code.It helps in code reusability.
  • Reduce the number of lines in your code.

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Conclusion

Partial functions help in removing redundancy.It also improves your coding capability.It is especially used in applying a range of different inputs to a single object (or) set somethings as constant in arguments of a function.So what are you waiting for? Try out creating different kinds of partial functions and have fun.Do check out our other python tutorials and blogs on python to increase your skill level.

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