Why Python is the next big tool for data and AI?

Ajit KumarAjit Kumar
2 min read

What is Python?

print("Hello World")

Python is an

  • object-oriented,

  • High-level programming language. (Easier to write than C/Java and other low-level languages)

Python is an interpreted language. Because of the higher readability of its syntax, Python is known as a very simple language compared to other computer languages.

Python is special because the program is runs. It comes with powerful tools and is very flexible, which makes it great for building apps quickly. You can also use it to connect different parts of a program together.

There are many free libraries (extra tools) you can add to Python to do even more.

Example:- pip install [ library name ]

Top 10 Programming Languages in 2025

Python is the most demanding language in every field.

Python programming is a general-purpose, used in almost all fields, including:

How is Python used in data science?

Python became popular in data science because it's easy to read, has tons of useful libraries.
(like pandas, NumPy, and scikit-learn), and a big community that shares tools and support. It also works well with other tools and scales easily from small scripts to big projects.

Python is a flexible, versatile, and easy-to-learn programming language widely used across industries. Its simplicity and readability make it beginner-friendly, while its open-source nature ensures accessibility and a wealth of community support. As data becomes increasingly valuable, Python’s ability to support innovative and transferable skills makes it an essential tool in the tech world.

Why Python is a Must for Data and AI

  1. Data Handling Made Easy

Python has powerful libraries like Pandas, NumPy, and Matplotlib that make it super simple to analyse, manipulate, and visualise data.

  1. AI & Machine Learning Powerhouse

Python is the go-to language for AI. With libraries like.

  • TensorFlow

  • PyTorch

  • Scikit-learn

  • Keras

  1. Rapid Prototyping

In AI and data science, testing ideas quickly matters. Python’s clean syntax lets you go from idea → code → result in no time.

  1. Strong Community & Resources

Tons of tutorials, forums, and open-source projects = help is always a search away.

Fun fact: -

💡
It is my first blog, and I have never had any experience with how to write an article, but I am writing today.

Link: google colab

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Written by

Ajit Kumar
Ajit Kumar