Why you should do your data science project in Python

Python is steadily growing into the most popular programming language for your machine learning, deep learning and data science projects. Many researchers, who used to favor R, are now flocking to Python, willing to benefit from a strong suite of advantages it brings to the table.

1. Readable and elegant coding

In the core of this programming language lies the strong drive to produce highly readable and easy-to-follow code. This enables new teamsters to quickly onboard even though they might have never seen coding solutions like they ones you use.

2. Multitude of libraries for DS

Pandas and Scikit-Learn are among the most popular add-ons for data science. These will help you navigate your way around relational and labeled data sets with ease and swiftness.

3. Ability to do all tasks with the same language

Python allows you to do all kinds of operations, including deep learning, scraping and processing enormous scopes of data.

Cython can help you make Python modules work faster should you start feeling slow in the back-end.

All in all, Python is the best pick for your DS project whatever your specific needs might be.