From the course: Python vs. R for Data Science

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Using Python

Using Python

From the course: Python vs. R for Data Science

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Using Python

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- If you're considering working in Python, you first need to recognize what makes Python stand out. One of the things that makes Python such a powerful and popular coding language is how it can handle data. In this lesson, I'm going to walk you through the main facets of using Python for working with data. The first thing to note is that Python syntax resembles prose, which makes it more readable and easier to learn than other programming languages. Additionally, Python is a general purpose programming language, providing a general approach to data science. That means, it can work with any type of data and it's suitable for any kind of project. Python has powerful libraries that help you work with data. First, Python's NumPy library helps you efficiently store numerical data of various dimensions in arrays. For example, if you have a bunch of numbers that correspond to the temperature in degrees Fahrenheit in your hometown…

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