Since the developer’s community commercial and worldwide usage of Python, this language has gained fame due to its multiple functionalities and dynamic usability.
Today Python is ranked among the most widely used programming languages globally. The major causes of adopting Python are its shorter line of code, simpler commands, and wide range of built-in functions. The diverse functionalities of Python have enabled this language to be implemented in numerous fields.
The usages of Python include web and software development, automation, data analysis, and data visualization. Furthermore, Python has also stepped into some pioneering fields such as Data Science, Machine Learning, and Artificial Intelligence.
Python has been used by many non-programmers, including accountants and scientists, for various routine activities, including financial management and data analytics.
Discussing the easiness and adaptability of Python, how can we forget to mention the enumeration feature in Python? So, what is enumeration in Python, and how its helpful while writing codes in Python?
Enumerate Function in Python
Counting and arithmetic functions are considered the core of the programming paradigm; there is barely any program in which these aren’t involved. While constructing the solutions pertaining to loops, certain conditions may exist where you may need to count the indexes to implement functions on them specifically.
elements= [ "Elements at 1st index:", "Elements at 2nd index:", "Elements at 3rd index:", "Elements at 4th index:", "Elements at 5th index:", ] list (enumerate(elements)) [(1,"Element 1"), (2,"Element 2"), (3,"Element 3"), (4,"Element 4"), (5,"Element 5")]
However, a similar feature can be implemented without this function. For instance, we have a list and want to iterate over this list, further printing the indexes along with the list value.
A data collection object is transformed into an enumerate object using the enumerate function in Python. Enumerate produces an object with a counter serving as a key for each value in the object, making it simpler to access the collection’s items.
Looping across objects is helpful, but we frequently need a way to keep track of loops and the things we access during a loop iteration. This need is addressed by Enumerate, which gives each item in the object a counter and enables us to keep track of the accessible things.
Counting Index Without Enumerate () Function in Python:
In this instance, indexes can be counted without using the enumerate function.
list= [
"Elements at 1st index:",
"Elements at 2nd index:",
"Elements at 3rd index:",
"Elements at 4th index:",
"Elements at 5th index:",
]
for i in range(len(list)):
print(list[i],i+1)
Output:
Element at 1st index: 1 Element at 2nd index: 2 Element at 3rd index: 3 Element at 4th index: 4 Element at 5th index: 5
Counting Index With Enumerate () Function in Python
Counting the indexes with built-in enumerate function in Python
elements= [
"Element at 1st index:",
"Element at 2nd index:",
"Element at 3rd index:",
"Element at 4th index:",
"Element at 5th index:"
]
list(enumerate(elements))
for index, elements in enumerate(elements):
print (elements,index+1)
Output
Element at 1st index: 1 Element at 2nd index: 2 Element at 3rd index: 3 Element at 4th index: 4 Element at 5th index: 5
When you need a count and the value from an iterable, Python’s enumerate() function makes it possible to create Pythonic for loops.
The primary benefit is that it produces a list with the counter and value, saving you from having to manually increase the counter.
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