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Python
fromInfoWorld
2 weeks ago

7 newer data science tools you should be using with Python

Several lesser-known Python data-wrangling tools, including ConnectorX and DuckDB, enable faster, parallelized database loading and in-process OLAP analytics beyond Pandas/Numpy.
Startup companies
fromTechCrunch
1 month ago

The startup behind open source tool Polars raises $21M from Accel | TechCrunch

Polars raised €18 million to scale its Rust-based high-performance data processing platform, funding Polars Distributed and Polars Cloud for petabyte-scale workloads.
fromRealpython
2 months 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
#data-analysis
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Data science
fromTalkpython
4 months ago

10 Polars Tools and Techniques To Level Up Your Data Science

Polars offers numerous advantages over Pandas, especially when enhanced with tailored libraries.
Data science
fromRealpython
5 months ago

How to Group Data Using Polars .group_by() - Real Python

Polars provides various methods to summarize and aggregate data, including using .group_by() and .filter().
Pivot tables in Polars allow complex aggregation and grouping of datasets.
fromRealpython
5 months ago

How to Group Data Using Polars .group_by() Quiz - Real Python

This interactive quiz tests your understanding of Polars' .group_by() technique for data aggregation and provides a scoring system to evaluate your grasp of the concepts.
Data science
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