From the course: NumPy Essential Training: 1 Foundations of NumPy

What you should know

From the course: NumPy Essential Training: 1 Foundations of NumPy

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What you should know

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- Before starting this course, let's explore what skills and knowledge you will need. In order to truly be successful in this course, it would be helpful to have a bit of familiarity with mathematics. But no prior experience is required. Basic Python programming knowledge will definitely help, though it's not strictly necessary. Our focus will be on the latest versions of Python 3. I would encourage you to set up Google Chrome, as your default browser, because it works best with Jupyter Notebook. You will also want to make sure that you have done Anaconda Install. So, what is Anaconda? Anaconda is a distribution of Python, that includes many libraries. I'm going to work you, through some key aspects of Anaconda Install. But first, make sure you have the access files in place in your computer. Unzip them, and you'll find them in your downloads folder with actual notebooks I've prepared. We're going to download Anaconda. So go ahead and go to anaconda.com or just go ahead and Google search Anaconda download. You're going to choose products. And under products section, choose Individual Distribution and click on download button. Once download is completed, run the install. After installation, go ahead and open Anaconda Navigator. Now, you see it comes with several development environments included. JupyterLab, Jupyter Notebook, Qt Console, Spyder, VS Code and others. We're going to use the Jupyter Notebook. So let's click on the launch button. And there you have it. You see Jupyter Notebook, automatically opened in your default browser. Convenient thing, is that you don't need to be connected to the internet to use Jupyter Notebook. It makes use of your browser as a graphical interface window. In case you have never worked with Jupyter Notebooks before, then you can go check out the Jupyter Notebooks video in Python Programming Efficiently. And that's about it. So let's get ready to jump into nampa in that.

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