Beginning with an exploration of Pandas and its historical context! At the ninth annual Data Innovation Summit in Stockholm, Alessandro Romano, Senior Data Scientist at Kuehne+Nagel, is examining one of the fastest alternatives available: Polars! His focus shifts to a detailed performance comparison to determine the most suitable option for specific use cases. This analysis serves as a foundation for the introduction of the DataFrame Consortium, which aims to standardize data manipulation libraries. Key takeaways:
- Pandas: pros and cons.
- Intro to Polars.
- Polars vs. Pandas: A performance comparison.
- Standardization with the DataFrame Consortium.
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Негізгі бет Ғылым және технология Pandas, Polars and the DataDrame Consortium - Alessandro Romano, Kuehne+Nagel
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