Most important language of computers for future of the new world

1. The Future of Python
Programming
Presented by - Shipra Bharti
Reg No.-23105109903

2. Introduction to python
• Python is a widely used high-level, interpreted programming
language.
• It was created by Guido van Rossum in 1991 and further
developed by the Python Software Foundation.

3. Python's Meteoric Rise: By the
Numbers
#1
Python's rank as the top language
for machine learning
15.7M
Estimated number of Python
developers worldwide in 2024
48.24%
Percentage of developers using
Python (Statista, 2023)
Python consistently ranks high in the TIOBE Index. Its popularity relative to
Java and C++ is clear. Key stats show its widespread use.

4. Core Strengths Fueling Growth
Simplicity and Readability
Python's clear syntax lowers the
barrier to entry for new
developers.
Extensive Libraries and
Frameworks
TensorFlow, PyTorch, Django,
Flask, Pandas, and NumPy
support diverse applications.
Strong Community Support
Active forums, conferences, and
open-source contributions drive
innovation.
Python's strengths include its clear syntax and extensive support. Its versatility makes it adaptable to various domains.

5. Python in Emerging
Technologies
Machine Learning
and AI
Python is the
dominant language
for AI development.
Data Science and
Analytics
Pandas and NumPy
simplify data
manipulation and
analysis.
Scientific
Computing
Python is increasingly
used in research and
simulations.
Python excels in machine learning, with 87% of data scientists using it. It's
also crucial for automation, DevOps, and cybersecurity.

6. Python in Web Development
Asynchronous Frameworks
FastAPI and Starlette are gaining
traction for high-performance APIs.
Microservices Architecture
Python helps build scalable and
maintainable web applications.
Serverless Computing
Python functions are deployed on AWS
Lambda and Google Cloud Functions.
Python powers evolving web frameworks. It is ideal for microservices and serverless computing. Libraries like websockets
enable real-time communication.

7. Predictions and Future Trends
Continued Growth in
AI/ML
Python's role in cutting-edge AI
research and applications will
expand.
Increased Adoption in IoT
Python's suitability for
resource-constrained devices
makes it ideal for IoT.
Expansion in Quantum Computing
Python libraries like Google Cirq and PennyLane are gaining traction.
Python will grow in AI/ML and IoT. Education emphasizes Python, and
low-code platforms are integrating it. Quantum computing will also adopt
it.

8. Conclusion: Python's Bright
Future
Adaptability
Python adapts to new challenges.
Community
Its strong community drives success.
Evolution
Embrace its applications.
Python's adaptability ensures continued success. Embrace its evolution and
explore emerging technologies. Stay updated and contribute to its vibrant
ecosystem.