, Machine Learning is the study of computer algorithms that improve automatically through experience and by the use of data.
Python is said to be a very intuitive language and this makes it appealing to Machine Learning developers to build complex models with.Building Machine Learning models can quickly become complex and tricky. To reduce that complexity, open-source libraries have been built to make the creation of Machine Learning models easier.
Python is so popular amongst Machine Learning Engineers because a lot of those software libraries are written in it, libraries like;matplotlib: For data visualization.Tensorflow: For building Neural Networks.Platform Independence simply means the ability of a programming language to allow developers to run the same code on different machines like Linux, Windows, and macOS. If you think platform independence is not a big issue go learn CSS😅.
In the survey, it is shown that 26% of all python developers use the language for web development so 26% of the Python community is made up of Web developers, but Machine Learning and data analysis come in a close second with 27% combined so the Python Machine Learning community is very large and this means that you can easily get help anywhere you are stuck.
Julia has a similar syntax to Python and was designed to handle numerical computing tasks. Julia provides support for deep learning via the TensorFlow.jl wrapper and the Mocha framework.