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.
Moreover, during an on-site interview at the summit, we had the pleasure of speaking with Alessandro. In this interview, Alessandro touches upon what what innovation truly means and some of the challenges of coming up with ground-breaking solutions.
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