Learn the Python basics so that you can use it for your data science projects.
This blog is part of a series of tutorials called Data in Day. Follow these tutorials to create your first end-to-end data science project in just one day. This is a fun easy project that will teach you the basics of setting up your computer for a data science project and introduce you to some of the most popular tools available. It is a great way to get acquainted with the data science workflow.
I. About Python 🐍
Created by Dutch programmer Guido van Rossum at Centrum Wiskunde & Informatica, Python made its debut in 1991. Over thirty years it has gained popularity earned a reputation of being the “Swiss army knife of programming languages.” Here are a few reasons why:
- A robust community has cultivated a wealth of free libraries and packages that allow Python to interface with technologies in different domains. Python is popular for data science, but you can also use it for web development, finance, designing games, and more.
- Python is also a multi-paradigm language — in other words it permits both structured/functional and object-oriented programming.
- As a high-level language the syntax is designed to be intuitive and easy to read. This feature makes it attractive to beginners as well as large companies like Instagram and Google.
In emerging fields like data science, artificial intelligence, and machine learning, a robust community, plenty of packages, paradigm flexibility, and syntactical simplicity, allow beginners and professionals to focus on insights and innovation.
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