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#pandas
fromQuansight
2 days ago
Data science

Expressions are coming to pandas!

Pandas added a new, chainable column-assignment syntax to replace lambda-based patterns, improving predictability, introspection, and safety for dataframe operations.
fromErik Marsja
3 months ago
Data science

Pandas: Drop Columns By Name in DataFrames

Pandas allows efficient removal of columns by name from DataFrames.
The drop() function can be used to remove single or multiple columns easily.
more#pandas
fromRealpython
3 weeks ago

Episode #260: Harnessing the Power of Python Polars - The Real Python Podcast

Polars offers significant speed advantages, particularly in data projects when compared to pandas, making it an optimal choice for performance-centric applications.
Python
fromMedium
2 months ago

RDD vs DataFrame vs Dataset in Apache Spark: Which One Should You Use and Why

Understanding Spark's APIs—RDD, DataFrame, and Dataset—saves time and boosts efficiency in big data processing.
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