2. Mutable lists vs immutable tuples The main difference between lists and tuples is the fact that lists are mutable whereas tuples are immutable. It means that we can modify a list after it has been initialized i.e. we can add, update or even delete items in a list. But, we cannot...
Difference Between Tuple and List By: Rajesh P.S.Lists and tuples are two common data structures in Python that are used to store collections of items. They have some similarities but also distinct differences based on their mutability, usage, and characteristics. Here's a detailed explanation ...
the main difference between a tuple and a list in python is that tuples are immutable, while lists are mutable. this means that you can modify a list by adding, removing, or changing elements, but you cannot do the same with a tuple. tuples are typically used to store data that ...
You can use the array() function in Python is an inbuilt function provided by the array module to create an array from a list or a tuple. It is a convenient and efficient way to work with arrays in Python. To create an array of integers using the array() function, you can use the...
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The below sections cover the main differences between the append() and extend() methods along with examples. 3. append() vs extend() – Argument type Theappend()method takes a single argument, which is the element that you want to add to the end of the list. This argument can be of ...
We are given a list of tuples with integer values. We need to create a Python program to find the maximum difference between tuple pairs. Input: tupList = [(5, 7), (2, 6), (1, 9), (1, 3)] Output: 8 Explanation: Absolute difference of all tuples : (5, 7) = 2 (2, 6...
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I cant get the difference between returning a tuple and an array. In both cases i return multiple values. And if i want to use the key value thing i can just use any collection like a dictionary. so Whats its edge ? 2 Answers
Python program to demonstrate the difference between size and count in pandas # Import pandasimportpandasaspd# Import numpyimportnumpyasnp# Creating a dataframedf=pd.DataFrame({'A':[3,4,12,23,8,6],'B':[1,4,7,8,np.NaN,6]})# Display original dataframeprint("Original DataFrame:\n",df...