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In the vast landscape of data processing, the need for efficient and fast data interchange is crucial. Apache Arrow, an open-source project, has emerged as a game-changer in this realm.
In this article, we’ll take a dive into the basics of Apache Arrow, exploring how it simplifies data sharing between different systems and languages with a focus on Python.
What is Apache Arrow?
Apache Arrow is a cross-language development platform for in-memory data that specifies a standardized language-independent columnar memory format. Simply put, it allows different systems and programming languages to share and process data without the need for complex conversions. Arrow provides a common data structure that is both efficient and performant, making it an ideal choice for applications dealing with large datasets.
Installing Apache Arrow in Python
To get started with Apache Arrow in Python, you need to install the pyarrow library. Open your terminal and run:
pip install pyarrow
