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Intro to Numpy and Pandas - Intro to Data Science

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    As you can imagine, since data science is being deployed in a wide range of
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    fields, data scientists use many different tools, depending on the task at hand.
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    Two of the most common tools used by data scientists are Numpy and Pandas.
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    Numpy is popular because it adds support for
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    things like multi-dimensional arrays and matrices.
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    It also adds a lot of mathematical functions that base python lacks.
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    Pandas on the other hand, allows us to structure and
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    manipulate our data in ways that are particularly well suited for data analysis.
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    If you happen to be familiar with the scripting language R,
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    Pandas takes a lot of the best elements from R and implements them in Python.
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    Both Numpy and Pandas are popular tools in the data science world, so
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    being familiar with them will help you read other people's code in the future.
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    Why don't we quickly discuss a couple of the more important features in both
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    Numpy and Pandas?
タイトル:
Intro to Numpy and Pandas - Intro to Data Science
概説:

01-14 Intro to Numpy and Pandas

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Video Language:
English
Team:
Udacity
プロジェクト:
ud359: Intro to Data Science
Duration:
0:53

English subtitles

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