From the course: Introduction to Data Science
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Setting up your Jupyter environment
From the course: Introduction to Data Science
Setting up your Jupyter environment
In data science, the Python 3 programming language is a useful computational tool, and you'll see me using Python 3 throughout this course. To write programs, you need an environment specifically built for coding. Now there are various platforms out there, each providing a unique coding environment and the more you talk to those who code, the more you'll hear strong feelings towards one platform or another. What's important to understand here is that all platforms will provide an ability to get started and apply the skills you're learning in this course. And the platform I'm using is called Jupyter Notebook. I've included a link in the resource file. Let's set up your environment. So I'm on the Anaconda distribution website, and I'm going to scroll down to see the latest version that's available for me to download. At the time of recording, it's 3.7. For you might be a different version and that's totally fine. Now, you'll want to click on "Download" and it should begin downloading…
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