October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Cross tooling – combining pandas awesomeness with R, Julia, H20.ai, and Azure ML Studio
Pandas can be regarded as a "wonder tool" when it comes to applications like data manipulation, data cleaning, or handling time series data. It is extremely fast and efficient, and it is powerful enough to handle small to intermediate datasets. The best part is that the use of pandas is not restricted just to Python. There are methods enabling the supremacy of pandas to be utilized in other frameworks, like R, Julia, Azure ML Studio and H20.ai. These methods of using the benefits of a superior framework from another tool is called cross-tooling and is frequently applied. One of the main reasons for this to exist is that it is almost impossible for one ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.