#dataframe

Writing Parquet Files Using Haskell

www.datahaskell.org·Raghav Sharma·about 1 month ago

#haskell #parquet #dataframe #datahaskell #article

We implemented a parquet writer in DataHaskell/Dataframe. Using it is simple; you need only pass your dataframe into the writeParquet function which writes a...

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Pandas Should Go Extinct

Hacker News·about 2 months ago

#IyQg7hf1

#eddie #pandas #polars #duckdb #dataframe

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Pandas vs Polars vs DuckDB: Which Library Should You Choose?

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Pandas vs Polars vs DuckDB: Which Library Should You Choose?

Analytics Vidhya·Janvi Kumari·5 months ago

#Z7jeiMk7

#analyticsvidhya #pandas #duckdb #polars #dataframe

A comprehensive comparison of pandas, Polars, and DuckDB. Discover the key differences in architecture, performance, and memory usage.

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PySpark for Beginners: Mastering the Basics | Towards Data Science

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PySpark for Beginners: Mastering the Basics | Towards Data Science

Towards Data Science·Thomas Reid·6 months ago

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#editorspicks #deepdives #newsletter #dataengineering #distributedcomputing

A step-by-step guide to understanding distributed data, lazy logic, and your first DataFrame.

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AI-Generated Code Looked Right, but the Data Was Wrong

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AI-Generated Code Looked Right, but the Data Was Wrong

DEV Community·Piotr·6 months ago

#4bu1Mc4t

#ai #python #datascience #code #output

I'm working on an AI Data Analyst in MLJAR Studio. The idea is simple: you ask a question in natural...

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Pandas' secret mini-language

DEV Community·Aaron Maxwell·6 months ago

#L8TYfIZz

#datascience #programming #python #tutorial #dataframe

The DataFrame class (from Pandas) is a work of art. Even if you never "do data", priceless lessons...

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Writing Parquet Files Using Haskell

Pandas Should Go Extinct

Pandas vs Polars vs DuckDB: Which Library Should You Choose?

PySpark for Beginners: Mastering the Basics | Towards Data Science

AI-Generated Code Looked Right, but the Data Was Wrong

Pandas' secret mini-language