www.letthedataconfess.com
@letthedataconfess
Are you aware of
IN
-letthedataconfess
www.letthedataconfess.com
The data structure is the way of organising the data in
such a way that it can be retrieved quickly.
But one data structure is not sufficient to handle all the
use case scenarios.
That is why we have multiple data structures which can be
used for various use cases.
What is meant
by Data structure ?
@letthedataconfess
www.letthedataconfess.com
Why do we
need Data structure ?
Consider the following scenario, where you want to
search for a particular document in file explorer with over
1000 documents stored. One way to do that is by going
one by one in a linear way, which is time-consuming.
Another way is to jump directly go to that place where it is
stored or where the related documents are present.
Yes your OS does this, using indexing and hashtables
which is a type of data structure. This reduces the time
required to search even if there lots of file present. This is
why data structures are important.
@letthedataconfess
www.letthedataconfess.com
Python data structures
01. List
The list is a linear data structure where the data is present
sequentially.
It's a heterogeneous collection of data which means it can
store items of different data types.
The list comes with multiple methods to perform
operations on them.
@letthedataconfess
www.letthedataconfess.com
@letthedataconfess
www.letthedataconfess.com
02. Tuples
A tuple is another data structure that is almost similar to a
list except that they are immutable, which means once
created then, tuple elements cannot be manipulated
means you cannot add or remove elements to it.
But you can get the counts and indexes of the elements
present.
@letthedataconfess
www.letthedataconfess.com
@letthedataconfess
www.letthedataconfess.com
03. Dictionary
Dictionary is a very important data structures that store
the data in key-value pairs similar to the hash table.
Dictionary is an unordered collection of data that are
mutable means, you can add or update the existing values
for a given key.
@letthedataconfess
www.letthedataconfess.com
@letthedataconfess
This is another type of data structure on which we can
perform set operation like union, intersection, difference,
etc.
Set doesn't allow duplicate entries. Each value in a set is
unique. It's also an unordered collection.
www.letthedataconfess.com
04. Sets
@letthedataconfess
www.letthedataconfess.com
@letthedataconfess
www.letthedataconfess.com
@letthedataconfess
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