The PyArrow revolution in Pandas
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| Title | The PyArrow revolution in Pandas |
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| Number of Parts | 131 |
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| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
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| Abstract | Pandas has long used NumPy for its back-end storage. But things are changing, and the future of Pandas will likely be tied closely with PyArrow. What are Arrow and PyArrow? How do they affect Pandas users today, and how will they affect us in the future? In this talk, I introduce PyArrow, tell you what it does, how we can already use it in our Pandas work, and whether that's a good idea. |
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