Python and Big Data: Handling Large Datasets

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1. As someone who works with big data, I appreciate the overview of how Python can be used with Hadoop and Spark. However, I think it’s important to mention that before diving into these frameworks, it’s important to have a solid understanding of Python’s data manipulation libraries such as Pandas and NumPy. These libraries provide foundational skills for handling and analyzing data that can then be applied to larger datasets using Hadoop and Spark.

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