Application of python in different fields

1. Presented by
Student Name: Ritik Kumar
Branch: MCA
Paper Name: Programming Concept with Python
Year: 2023-2024
Sem: 1st
Paper Code: MCAN 101
Collage Id: 23273040108
Continuous Assessment 1
Applications of Python in Different Fields

2. Content
• Introduction
• Applications of Python in Data Science
• Applications of Python in Web Development
• Applications of Python in Automation and
Scripting
• Conclusion

3. Introduction
Python is a high-level programming language known for its simplicity and
readability. It was first created by Guido van Rossum in the late 1980s and
has gained tremendous popularity over the years.
It is used for:
• web development (server-side),
• software development,
• mathematics,
• system scripting.

4. Applications of Python in Data Science
Data Manipulation and Analysis
with Pandas
Python's Pandas library provides powerful tools
for data manipulation and analysis, making it a
favorite choice among data scientists.
Machine Learning with Scikit-Learn
Python's Scikit-Learn library offers a wide range
of machine learning algorithms, making it a go-
to language for developing intelligent systems.

5. Applications of Python in Web
Development
Server-Side Scripting with Django
Python's Django framework simplifies web
development by providing a robust set of tools for
building scalable and secure web applications.
Web Scraping with BeautifulSoup
Python's BeautifulSoup library enables easy
extraction of data from websites, making it highly
valuable for gathering information in web
development.

6. Applications of Python in Automation
and Scripting
1 Task Automation with Selenium
Python's Selenium library automates
web browser interactions, making it an
excellent choice for testing web
applications and performing repetitive
tasks.
2
Scripting for System
Administration
Python's simplicity and powerful libraries
allow system administrators to automate
tasks, manage servers, and streamline
workflows.

7. Conclusion
In this presentation, we explored various applications of Python in data
science, web development, and automation. Python's versatility ensures its
importance in future technological advancements.

8. THANK YOU