Tuples take less space in memory than lists because lists are variable-sized, they over-allocate to enable to append to full lists and they need a layer of indirection to store pointers to the elements instead of directly storing elements in a fixed-sized tuple structure. Why do Tuples Take Less Space in Memory Than Lists? Since tuples can’t be modified and lists can, lists need to allocate more memory than tuples in case it has to be changed after it has been created. Tuples are more memory efficient than lists in Python. Why use Tuples Instead of Lists in Python They are both a sequence of objects separated by a colon. The two main differences between tuples and lists in Python is that tuples are immutable and lists are mutable, and tuples use parentheses instead of square brackets. tuple() – Converts a sequence to a tuple Difference Between Tuples and Lists in Python.sorted() – Return a sorted list of the values of the tuple.sum() – Return the sum of all values of the tuple.min() – Return the minimum value from the tuple. max() – Return the maximum value from the tuple.enumerate() – Return an enumerate object from the tuple.any() – Return true if any elements of tuples are true and False when tuple is empty.all() – Return true if all elements of tuples are true or tuple is empty.Let's understand the following example.There are 9 built-in Python functions that can be used on a tuple. If the variables are the same in number as the tuple value, then the value is automatically assigned to the left according to their position on the left. Python allows us to assign tuples of the variable on the left side of the assignment operator and tuple values on the right side. Let's have an example to understand how unpacking works in Python. Unpacking makes the code more readable that why it got popularity among Python developers. Unpacking - Unpacking is the term which refers to an operation list or tuple assigned to a single variable. We can use any other name in place of args. Packing - As its name suggests, it wraps all the arguments into a single variable, and this function call gets into a tuple called args. Below is the definition of the packing and unpacking arguments. Python developers called this process a tuple unpacking. Each variable in the tuple can have one value (or more if use the * operator) from iterable on the right side of the assignment. These variables can be in the same number of tuple element. Python provides the facility to declare the variables on the left side of assignment operation. In Addition, we will also explore some practical examples for loops, function definition, and function calls. We will discuss how we can use iterable unpacking to make our code more readable. Hence, this feature generalized to all kinds of iterables nowadays, it is referred to as iterable unpacking. In the past, Python developers referred to this feature as tuple unpacking, but it became quite useful and popular among them. We need to pass five separate arguments to the function. Suppose we have a function that takes five arguments we create a list of five elements and pass it to the function, which will throw an error because elements are packed within the list. Python provides a unique feature to pack or unpack the arguments. In this tutorial, we will learn about the packing and unpacking of the arguments. Next → ← prev Python Packing and Unpacking Arguments in Python Python Tutorial Python Features Python History Python Applications Python Install Python Example Python Variables Python Data Types Python Keywords Python Literals Python Operators Python Comments Python If else Python Loops Python For Loop Python While Loop Python Break Python Continue Python Pass Python Strings Python Lists Python Tuples Python List Vs Tuple Python Sets Python Dictionary Python Functions Python Built-in Functions Python Lambda Functions Python Files I/O Python Modules Python Exceptions Python Date Python Regex Python Sending Email Read CSV File Write CSV File Read Excel File Write Excel File Python Assert Python List Comprehension Python Collection Module Python Math Module Python OS Module Python Random Module Python Statistics Module Python Sys Module Python IDEs Python Arrays Command Line Arguments Python Magic Method Python Stack & Queue PySpark MLlib Python Decorator Python Generators Web Scraping Using Python Python JSON Python Itertools Python Multiprocessing How to Calculate Distance between Two Points using GEOPY Gmail API in Python How to Plot the Google Map using folium package in Python Grid Search in Python Python High Order Function nsetools in Python Python program to find the nth Fibonacci Number Python OpenCV object detection Python SimpleImputer module Second Largest Number in Python
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