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Introduction to Anaconda

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What Is Anaconda and Why Use It?

1:29 with Kenneth Love

What is Anaconda and why use it?

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    [MUSIC] 0:00
    Hi, I'm Kenneth. 0:04
    If you find yourself interested in using Python for scientific pursuits, data 0:06
    analysis, data science, computer vision, or any of a number of other fields, 0:09
    you're going to come across a bit of software named Anaconda. 0:13
    Besides being a clever pun on Python, Anaconda is a large and 0:17
    powerful platform that's heavily used by science and data-oriented Pythonistas. 0:20
    And it provides a ton of the tools you'll use in those areas like Pandas, 0:24
    Jupyter Notebook, and more. 0:28
    In fact, that's why people use the Anaconda platform. 0:29
    It makes it faster and easier to set up and install the tools and 0:32
    libraries that you need to do your science. 0:35
    Another benefit of using a platform like Anaconda comes out when you're working 0:37
    with a team or need to share your results with others in the community. 0:41
    Using a standardized platform lets you all easily replicate an environment and 0:44
    set up quickly and reliably. 0:47
    That means less time spent setting things up and tweaking libraries and 0:48
    more time for your science. 0:51
    Beyond that though, Anaconda also brings with it easier manipulation and 0:54
    use of data sources, a community of experts, and a lot more. 0:57
    In fact, I won't even be able to scratch the surface of all of the powers and 1:00
    benefits that Anaconda can give you. 1:03
    Luckily, you won't need all of these to start with. 1:05
    You'll just need to get Anaconda installed. 1:07
    And that's exactly what this workshop is about. 1:09
    We're going to look at how to install the Anaconda platform. 1:12
    How to use it to install packages and 1:14
    libraries and a smaller alternative version of Anaconda 1:15
    that might be more useful to you if you're not a day to day data scientist. 1:18
    I'm gonna show you all the steps you needed to do on a Mac, but 1:21
    they'll be similar enough on another platforms that you shouldn't have any 1:23
    issues getting things running. 1:26
    Let's get started 1:27

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