Power of Python In Artificial Intelligence, Web-Development, Data-science!
Coding With Sagar・2 minutes read
Python3, developed by Guido in 1991, has become widely popular among 8 million global developers, chosen for its simplicity and readability, particularly in data science and artificial intelligence applications. This growth is attributed to its beginner-friendly design, leading to the prominence of Python3 in web development, with frameworks like Django and Flask utilized alongside libraries such as pandas, NumPy, and TensorFlow.
Insights
- Python3 is a widely used programming language known for its simplicity and readability, attracting 8 million developers globally and experiencing a 15% annual growth rate, particularly prevalent in data science and artificial intelligence applications.
- Guido created Python in 1991 as a user-friendly successor to the ABC language, resulting in the evolution of Python2 and Python3, the latter gaining prominence in web development. Python's appeal lies in its ease of use, enabling developers to tackle intricate tasks efficiently, with frameworks such as Django and Flask becoming popular in data science and AI due to libraries like pandas, NumPy, and TensorFlow.
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Recent questions
What is Python3?
A programming language with 8 million developers worldwide.
Who created Python3?
Guido created Python3 in 1991.
What are some popular Python3 frameworks?
Django and Flask are popular frameworks.
How does Python3 contribute to data science?
Python3 simplifies complex tasks in data science.
What is the growth rate of Python3 developers?
Python3 developers grow at a rate of 15% annually.
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Summary
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Python3: Popular, Versatile, and Growing Rapidly
- Python3 is a highly popular programming language with 8 million developers worldwide, utilized in various fields including data science and artificial intelligence, with a growth rate of 15% annually.
- Python was created in 1991 by Guido as a successor to the ABC language, aiming to be beginner-friendly and easy to use, leading to the development of python2 and python3, with the latter becoming prominent in web development.
- Python's popularity stems from its simplicity and readability, making it easier for developers to handle complex tasks, with frameworks like Jango and Flask gaining traction in data science and AI due to libraries like pandas, measurement, and tensor flow.
