del(): deletes the with respect to the position of the value. It does not return which value is deleted. It also changes the index towards the right by decreasing one value. It can also be used to delete the entire data structure.
clear(): clears the list.
remove(): it deletes with respect to the value hence can be used if you know which particular value to delete.
pop(): by default removes the last element and also returns back which value is deleted. It is used extensively when we would want to create referencing. In sense, we can store this deleted return value in a variable and use in future.
Posted Date:- 2021-10-27 07:11:26
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What are namespaces in Python?
What is the difference between pass, continue and break?
What is the difference between range, xrange, and range?
What is the difference between del(), clear(), remove(), and pop()?
How do map, reduce and filter functions work?
What is the difference between indexing and slicing?
What is the difference between is and ‘==’ ?
What are generators and decorators?
What is tuple unpacking? Why is it important?
What are compound data types and data structures?
Name mutable and immutable objects.
What is a Python module? How is it different from libraries?
List some statistical functions in Python Pandas?
How to convert a DataFrame to an array in Pandas?
What is Vectorization in Python pandas?
What is dataframe.iterrows in Pandas?
What Is A pandas DataFrame? How Will You Create An Empty DataFrame In pandas?
Explain Series In pandas. How To Create Copy Of Series In pandas?
What Is Groupby Function In Pandas?
How Can A Dataframe Be Converted To An Excel File?
How Can You Iterate Over Dataframe In Pandas?
What Method Will You Use To Rename The Index Or Columns Of Pandas Dataframe?
How Will You Add An Index, Row, Or Column To A Dataframe In Pandas?
How To Create A Copy Of The Series In Pandas?
How Will You Explain Reindexing In Pandas?
Describe Data Operations in Pandas?
What is Time Series in Pandas?
How can we convert DataFrame into an excel file?
How can we convert DataFrame into a NumPy array?
How can we create a copy of the series in Pandas?