In this article, we’ll be looking into the
usage of PYTHON with Data Structures.
What is the purpose of Data? Data plays an
important role in any business sector. It must be stored and arranged for
processing. How can data be arranged or stored? Data can be arranged or stored
using the concept of Data Structures. What are Data Structures? Data structures
are the ways in which data can be stored so that it can be used efficiently.
Many enterprise applications use different types of data structures to some
degree. Data Structures can be incorporated with many programming languages,
including PYTHON.
PYTHON
PYTHON is an Object Oriented Programming
language. PYTHON is an open-source platform, i.e. it is accessible free of
cost. Python is a great choice for server-side web development, software
development, mathematics, and system scripting. It's popular for Rapid
Application Development and as a scripting or glue language to tie existing
components together because of its high-level, built-in data structures,
dynamic typing, and dynamic binding. You can reduce program maintenance costs
with Python due to its easily learned syntax and emphasis on readability.
PYTHON
in Data Structures
Python gives its users the ability to create
custom data structures, giving them complete control over how they work.
Data Structures in PYTHON are classified into
User-Defined and Built-In Data Structures.
Built-In
Data Structures
Python has a few built-in data structures that
make programming easier and help programmers obtain solutions faster. Let's
discuss each of them in detail.
The different types of Built-In Data
Structures in PYTHON are listed below.
i) List
ii)
Tuples
iii)
Dictionary
iv)
Sets
We’ll now look into the relevant explanation
of the above listed concepts.
i) Lists
Lists are used to store data of different
types in a sequential manner. They are perfect for organizing information and
keeping track of things. Every element in a list has an address, called an
index. The index value starts from 0 and goes up to the last element. There's
also negative indexing, which starts from -1. Elements are accessed from the
last.
ii) Tuples
They are a sequence of data. However, tuples
cannot be changed once they are created, unless the data inside the tuple is
mutable. In that case, the tuples are mutable.
iii) Dictionary
A dictionary is a data structure that stores
key-value pairs.
iv) Sets
Sets are a collection of unique elements that
are unordered. This means that even if data is repeated more than once, it will
only be entered into the set once. This is similar to the sets you have learned
about in arithmetic. The operations are also the same as with arithmetic sets.
An example program would help you understand better.
User-Defined
Data Structures
If you want to create a custom data type, you
can do so by deriving it from an existing data type. This is called a
user-defined data type (UDT).
Below listed are the types of User-Defined
Data Structures in PYTHON.
i)
Stack
ii)
Queue
iii)Tree
iv)
Linked List
v)
Graph
vi)
Hash Map
i)
Stack
Stacks are based on the principle of
last-in-first-out (LIFO). The last entered data will be the first to get
accessed.
The operations of Stack are pop, push, and
accessing the elements.
The TOP
of the stack is the pointer to the current position. The most common
applications of Stacks are recursive programming, reversing a string, etc.
ii)
Queue
A queue is a linear data structure that is
based on the principle of first-in, first-out (FIFO). This means that the data
that is entered first will be accessed first. This queue is built using an
array structure, and you can perform operations from either end of the queue
(head-tail or front-back). Operations like adding and deleting elements are
called en-queue and de-queue, and you can access elements in the queue too.
Queues are used in applications of Traffic Congestions.
iii)
Trees
Trees are non-linear data structures with a
root and nodes. The root is the node where the data originates, and the nodes
are the other data points. The node before is the parent, and the node after is
called the child. There are levels a tree has to show the depth of information.
The last nodes are called the leaves. Trees can be used in a lot of real-world
applications, such as HTML pages. They can help distinguish which tag comes
under which block, and are also efficient in searching purposes.
iv)
Linked List
Linked lists are linear Data Structures which
are not stored consecutively, but are linked with each other using pointers.A
node in a linked list is made up of data and a pointer called next. These structures
are commonly used in image viewing applications, music player applications, and
so on.
v)
Graph
Graphs are used to store data collections of
points called vertices (nodes) and edges (edges). Graphs can be referred to as
the most accurate representation of a real-world map. They are used to find the
distance between two points.
vi)
Hash Map
HashMaps are similar to dictionaries in
Python. They can be used to implement applications such as phonebooks, populate
data according to lists, and more.
With these, the different types of Data
Structures in PYTHON are concluded.
Advantages
of PYTHON
Some of the advantages of PYTHON are listed
below.
i) Availability: You can write
a Python program on your Windows machine and share it with someone who is using
a Mac, and it will still run properly for them.
ii) Library Availability: There are over 250,000 Python packages available
for you to download and use in your projects from the Python Package Index.
iii) Object Oriented
iv) Has Built-In Data Structure
Disadvantages
of PYTHON
i) Python is an excellent choice for
server-side programming, but it's not used as often for client-side programming
or applications for smartphones. One example of a Python-based smartphone app
is called Carbonnelle.
ii) You may already know that Python is
dynamically-typed. This means that you don't need to declare the type of
variable while writing the code. Python uses duck-typing. This implies that it
can raise run-time errors.
iii) Although Python's database access layers
are not as developed as JDBC (Java DataBase Connectivity) and ODBC (Open
DataBase Connectivity), they are still useful. However, they are used less
often in huge enterprises.
Conclusion
In this article, we have briefed the
definition of PYTHON, and we have looked into the classification of different
types of Data Structures in PYTHON. PYTHON can be used as a programming
language to master the concept of Data Structures and Algorithms
(DSA). Where does the concept of DSA pitch in? DSA is an important concept to
be mastered to get placed in top-notch product based organizations. At SkillSlash, an online based learning platform, candidates are trained on DSA from
scratch. Skillslash also offers Data Science Course In Delhi and Data
science course in Nagpur. If you want to get into the tech domain, there’s
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student support team to know more.
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