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Data Structure in Python Programming Language.


Data Structure in Python Programming Language.

Python Programming Language has been used worldwide for different fields such as making websites, artificial intelligence and much more. But to make all of this possible, data plays a very important role which means that this data should be stored efficiently and the access to it must be timely. So how do you achieve this? We use something called Data Structures.

What is a Data Structure in Python?
Types of Data Structures in Python

1. Built-in Data Structures(As the name suggests, these Data Structures are built-in with Python which makes programming easier and helps programmers use them to obtain solutions faster.)
  • List
  • Dictionary
  • Tuple
  • Sets
2. User-Defined Data Structures(Python allows its users to create their own Data Structures enabling them to have full control over their functionality.)
  • Arrays vs. List
  • Stack
  • Queue
  • Trees
  • Linked Lists
  • Graphs
  • HashMaps

What is a Data Structure? 
Organizing, managing and storing data is important as it enables easier access and efficient modifications. Data Structures allows you to organize your data in such a way that enables you to store collections of data, relate them and perform operations on them accordingly. 

Let’s discuss each of them in detail.
1. Lists in Python
Lists are used to store data of different data types in a sequential manner. There are addresses assigned to every element of the list, which is called as Index. The index value starts from 0 and goes on until the last element called the positive index. There is also negative indexing which starts from -1 enabling you to access elements from the last to first.

Creating a list
To create a list, you use the square brackets and add elements into it accordingly. If you do not pass any elements inside the square brackets, you get an empty list as the output.

my_list = [] #create empty list
my_list = [1, 2, 3, 'csdt', 3.132] #creating list with data

2. Dictionary in Python
Dictionaries are used to store key-value pairs. To understand better, think of a phone directory where hundreds and thousands of names and their corresponding numbers have been added. Now the constant values here are Name and the Phone Numbers which are called as the keys. And the various names and phone numbers are the values that have been fed to the keys. If you access the values of the keys, you will obtain all the names and phone numbers. So that is what a key-value pair is. And in Python, this structure is stored using Dictionaries. Let us understand this better with an example program.

Creating a Dictionary
Dictionaries can be created using the flower braces or using the dict() function. You need to add the key-value pairs whenever you work with dictionaries.

my_dict = {} #empty dictionary
my_dict = {1: 'Python', 2: 'Java'} #dictionary with elements

3. Tuple in Python
Tuples are the same as lists are with the exception that the data once entered into the tuple cannot be changed no matter what. The only exception is when the data inside the tuple is mutable, only then the tuple data can be changed. The example program will help you understand better.

Creating a Tuple
You create a tuple using parenthesis or using the tuple() function.
my_tuple = (1, 2, 3) #create tuple

4. Sets in Python
Sets are a collection of unordered elements that are unique. Meaning that even if the data is repeated more than one time, it would be entered into the set only once. It resembles the sets that you have learnt in arithmetic. The operations also are the same as is with the arithmetic sets. An example program would help you understand better.

Creating a set
Sets are created using the flower braces but instead of adding key-value pairs, you just pass values to it.

my_set = {1, 2, 3, 4, 5, 5, 5} #create set

{1, 2, 3, 4, 5}

 User-Defined Data Structures

1. Arrays vs. Lists in Python
Arrays and lists are the same structure with one difference. Lists allow heterogeneous data element storage whereas Arrays allow only homogenous elements to be stored within them.

2. Stack in Python
Stacks are linear Data Structures which are based on the principle of Last-In-First-Out (LIFO) where data which is entered last will be the first to get accessed. It is built using the array structure and has operations namely, pushing (adding) elements, popping (deleting) elements and accessing elements only from one point in the stack called as the TOP. This TOP is the pointer to the current position of the stack. Stacks are prominently used in applications such as Recursive Programming, reversing words, undo mechanisms in word editors and so forth.

3. Queue in Python
A queue is also a linear data structure which is based on the principle of First-In-First-Out (FIFO) where the data entered first will be accessed first. It is built using the array structure and has operations which can be performed from both ends of the Queue, that is, head-tail or front-back. Operations such as adding and deleting elements are called En-Queue and De-Queue and accessing the elements can be performed. Queues are used as Network Buffers for traffic congestion management, used in Operating Systems for Job Scheduling and many more.

4. Tree in Python
Trees are non-linear Data Structures which have root and nodes. The root is the node from where the data originates and the nodes are the other data points that are available to us. The node that precedes 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 create a hierarchy which can be used in a lot of real-world applications such as the HTML pages use trees to distinguish which tag comes under which block. It is also efficient in searching purposes and much more.

5. Linked List in Python
Linked lists are linear Data Structures which are not stored consequently but are linked with each other using pointers. The node of a linked list is composed of data and a pointer called next. These structures are most widely used in image viewing applications, music player applications and so forth.

6. Graph in Python
Graphs are used to store data collection of points called vertices (nodes) and edges (edges). Graphs can be called as the most accurate representation of a real-world map. They are used to find the various cost-to-distance between the various data points called as the nodes and hence find the least path. Many applications such as Google Maps, Uber, and many more use Graphs to find the least distance and increase profits in the best ways.

7. HashMaps in Python
HashMaps are the same as what dictionaries are in Python. They can be used to implement applications such as phonebooks, populate data according to the lists and much more.

Mastering Python: Your Gateway to Programming Proficiency at CSDT Centre Patna


Mastering Python: Your Gateway to Programming Proficiency at CSDT Centre Patna

Python Course

Mastering Python: Your Gateway to Programming Proficiency at CSDT Centre Patna


Python, a versatile and powerful programming language, has become a cornerstone in the world of technology. Whether you're a beginner stepping into the programming realm or an experienced developer looking to expand your skill set, CSDT Centre Patna's Python course offers a comprehensive learning experience. This article delves into the opportunities, curriculum, and advantages of enrolling in the Python course at CSDT Centre Patna.

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Python's readability, versatility, and extensive libraries make it a go-to language for various applications. From web development to data science and artificial intelligence, Python is a language that opens doors to diverse opportunities. CSDT Centre Patna's Python course is designed to equip learners with the skills needed to harness the full potential of this programming language.

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CSDT Centre Patna's Python course goes beyond the fundamentals; it provides a practical, hands-on approach to learning. Whether you're aiming to build a strong foundation in programming or seeking to leverage Python for specific applications, this course caters to a wide range of learners.

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The Python course at CSDT Centre Patna covers a broad spectrum of topics. From the basics of syntax and data structures to advanced concepts such as web development with Django and data analysis with Pandas, the curriculum is designed to provide a well-rounded understanding of Python's capabilities.

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Understanding that programming is best learned through application, CSDT Centre Patna integrates hands-on projects into its Python course. Students have the opportunity to work on real-world projects, applying Python concepts to solve problems and gain practical experience that extends beyond theoretical knowledge.

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The success of any programming course lies in the expertise of its instructors. CSDT Centre Patna takes pride in its team of industry-experienced instructors who bring real-world insights into the classroom. Learners benefit from the guidance of professionals who have applied Python in diverse professional settings.

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Recognizing the diverse needs of learners, CSDT Centre Patna provides flexibility in learning formats. Whether you prefer the convenience of online classes or the interactive nature of in-person sessions, the center ensures that the Python course is accessible to all.

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Completing the Python course at CSDT Centre Patna not only enhances your programming skills but also opens doors to potential career opportunities. The center provides job placement assistance, connecting learners with businesses seeking skilled Python developers.

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Upon successful completion of the course, students receive a recognized certification from CSDT Centre Patna. This certification attests to the skills acquired during the program, adding credibility to your profile and increasing your market value.

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Python is a dynamic language with a vibrant community and evolving trends. CSDT Centre Patna ensures that its Python course stays abreast of the latest developments. From emerging libraries to best practices, the course is designed to prepare students for the ever-changing landscape of Python programming.

Tips for Success in Python Courses

Success in Python courses at CSDT Centre Patna involves a combination of dedication and strategic planning. Actively engage in hands-on projects, seek feedback from instructors, collaborate with peers, and stay updated on industry trends to maximize your learning experience.


Enrolling in a Python course at CSDT Centre Patna is not just an educational choice; it's a commitment to becoming a proficient and versatile programmer. The comprehensive curriculum, practical projects, and industry-focused approach ensure that you are well-prepared to leverage Python in a variety of applications.

Frequently Asked Questions (FAQs)

  1. Who is the Python course at CSDT Centre Patna suitable for?

    • The course is suitable for individuals of all skill levels, from beginners with no programming experience to experienced developers looking to enhance their Python skills.
  2. What applications of Python are covered in the course?

    • The course covers a range of applications, including web development with Django, data analysis with Pandas, and more, ensuring a diverse skill set.
  3. Can I enroll in the Python course without any programming background?

    • Yes, the course is designed to cater to individuals from diverse backgrounds, with or without a programming foundation.
  4. Are there opportunities for practical application of Python skills?

    • Absolutely! The course includes hands-on projects that allow students to apply their Python skills in real-world scenarios.
  5. How long does it take to complete the Python course at CSDT Centre Patna?

    • The duration varies based on the course, but with dedication, many learners complete programs within a few months.

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