What Makes Python The ‘Standard’ Language For Machine Learning?

Question

What about it is more appealing?

Answer 1

Easy syntax. Lots of libraries for ML. Big community for support. New stuff being added regularly.
It is also a positive feedback cycle. The more it gets popular, the more people use it and add cool features, which makes it even more appealing.
This thread might help:
https://www.sololearn.com/Discuss/981072/?ref=app

Answer 2

Kishalaya Saha Thanks i forget it. sometimes i copy paste and then answer because many questions repeat again and again.so it is difficult to typing.

Answer 3

Python comes with a huge amount of inbuilt libraries. Many of the libraries are for Artificial Intelligence and Machine Learning. Some of the libraries are Tensorflow (which is high-level neural network library), scikit-learn (for data mining, data analysis and machine learning), pylearn2 (more flexible than scikit-learn), etc. The list keeps going and never ends.
You can find some libraries here.
Python has an easy implementation for OpenCV. What makes Python favourite for everyone is its powerful and easy implementation.
For other languages, students and researchers need to get to know the language before getting into ML or AI with that language. This is not the case with python. Even a programmer with vert basic knowledge can easily handle python. Apart from that, the time someone spends on writing and debugging code in python is way less when compared to C, C++ or Java. This is exactly the students of AI and ML wants. They don't want to spend time on debugging the code for syntax errors.

Answer 4

Maninder $ingh, you forgot to add the link after "You can find some libraries here".
And please cite your source when you copy-paste such a long text.
https://ai.stackexchange.com/questions/3494/why-is-JUMP_LINK__&&__python__&&__JUMP_LINK-the-most-popular-language-in-the-ai-field?rq=1

Answer 5

Kishalaya Saha can you help me with this.
https://www.sololearn.com/discuss/1604184/?ref=app

Answer 6

Maninder $ingh You're welcome! Copy-pasting is fine I guess, but please give credit to your source when you use such a long passage :)