On December 7, a local community in Vinnytsia had a chance to enjoy not only a great introduction lecture on Python by Serhii Myskov, a Data Scientist from Nestlogic, but a real live coding session as well. We had a lively and vibrant meeting, where everybody had a fabulous opportunity to try a hand in practical assignments and got the answers to all essential questions. Why are so many people interested in Python, though?
Some programming languages live in the heart of data science. Python is definitely one of those languages. It is an integral ingredient for Data Science and vice versa. Let’s start with the fact that Python provides great functionality to deal with mathematics, statistics and scientific function. When it comes to data science application, it provides extensive libraries to deal with. Not to mention it is open-source, interpreted, high-level tool!
Most importantly, Python is widely used in the scientific and research communities because of its ease of use, besides, its simple syntax makes it easy to adapt for people who even do not have an engineering background. Real data confirm this as well: in 2019, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Moreover, there are tailor-made situations where it is the best data science tool for the job. It is perfect in case data analysis tasks involve integration with web apps or when there is a need to incorporate statistical code into the production database. The full-fledged programming nature of Python makes it a perfect fit for implementing algorithms.