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Setting Up Your Environment: Anaconda

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00:00 Before we get going, I want to make sure that you’ve got your environment set up. I highly recommend using the Anaconda Python distribution. Head on over to anaconda.com and go to the Products, Individual version.

00:13 The Individual version is an open-source distribution that comes installed with NumPy, pandas, SciPy, Matplotlib, and many other data science modules in Python.

00:24 It also comes installed with Jupyter Notebook and JupyterLab and the very nice editor called Spyder.

00:33 So if you head on over to anaconda.com, go onto the Products > Individual Edition version, and then scroll down a bit and click on the Download button, and then download the graphical installer for your operating system—either Windows, macOS, or Linux. I recommend the 64-Bit Graphical Installer.

01:04 Once the download is complete and you run the installation file, it’s a pretty straightforward installation process. Once the installation is done, you’ll have a navigator called Anaconda installed in your applications folder or your programs folder, and this is a dashboard containing links to open up all the different applications that come with Anaconda. You’ll have JupyterLab, which is the newer version of the Jupyter Notebook, and then the classical Jupyter Notebook app. You’ll have Spyder.

01:35 So go ahead and open either Jupyter Notebook or JupyterLab, whichever one you’re more comfortable with.

01:44 Once Jupyter launches, go ahead and create a new Notebook using Python 3. And then from this point, you’re all set to go. Let me show you another way to get going in this course if you don’t want to use Anaconda.

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