Python is the best choice for Machine Learning as it has several beneficial features that make it so easy to learn and popular among software engineers. For example, Python provides:
ML works by identifying certain patterns in data. To create a smart algorithm that will work, ML engineer has to harness, refine, process, clean, sort out, and derive insights from data. Python is not hard to learn and can be executed pretty fast to prove any idea immediately.
Python has many different libraries and frameworks that are used by engineers. These libraries and frameworks are truly valuable in saving time which makes Python significantly more well-known.
Top Python libraries of today are:
Top Python frameworks are:
Python’s code is not difficult to read. It is strict concerning appropriate spaces, has a multi-paradigm nature, which allows engineers to adapt and approach issues in the easiest way possible.
There’s a shortage of skilled Python developers on the job market. And, that’s a pity because as a language, Python is easy to get familiar with. Its structure resembles the English language and the phrase structure is quite simple to learn and work with complex ML and AI systems. That’s why the entry barrier for this position is relatively low as compared to the other programming languages.
Being portable and extensible allows engineers to perform numerous cross-language tasks with Python, which is called platform independence. Also, Python is applicable to using Graphics Processing Units (GPUs) for training ML models.
The Developer Survey 2020 by Stack Overflow, named Python as the 4th most popular programming language. Over 140,000 custom-built Python software packages reside in online repositories. Python became reliable to such an extent that Google crawls web pages with its help, Pixar produces movies, and Spotify uses it to recommend songs.
Python AI community has grown across the world. There are Python forums and developers actively exchange experience related to machine learning solutions. Here, you can solve your problem, get advice and find valuable guidance.
Also, check out our .net core vs. python comparison and see which technology wins!