Polars
Artificial Intelligence
Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB
If with Python for data, you may have probably experienced the frustration of waiting minutes for a Pandas operation to complete.
At first, the whole lot seems high quality, but as your dataset grows...
Artificial Intelligence
Anatomy of a Polars Query: A Syntax Comparison of Polars vs SQL
Transitioning from Pandas to Polars the straightforward way — by taking a pit stop at SQL.The key’s out! Polars is the most popular thing on the block, and everybody wants a slice 😎I recently...
Artificial Intelligence
The way to Construct Popularity-Based Recommenders with Polars
Basic recommenders which are easy to grasp and implement, in addition to fast to coachWe start with the unique dataframe.We then group by customer_id and article_id and aggregate via a count.We then aggregate again...
Artificial Intelligence
Using DuckDB with Polars
Learn easy methods to use SQL to question your Polars DataFramesSay, you now want to search out all phones from Apple which has sales of greater than 80. You should use the filter() function...
Artificial Intelligence
The three Reasons Why I Have Permanently Switched From Pandas To Polars
I got here for the speed, but I stayed for the syntaxAnd that brings us to .scan_parquet() and .sink_parquet().Through the use of .scan_parquet() as your data input function, LazyFrame as your dataframe, and .sink_parquet()...
Artificial Intelligence
Measuring The Speed of Recent Pandas 2.0 Against Polars and Datatable — Still Not Good Enough
Though the brand new PyArrow backend for Pandas is bringing exciting features, it still looks disappointing when it comes to speed.Things are changingFor years now, Pandas have stood on the shoulders of NumPy because...
Artificial Intelligence
Measuring The Speed of Latest Pandas 2.0 Against Polars and Datatable — Still Not Good Enough
Though the brand new PyArrow backend for Pandas is bringing exciting features, it still looks disappointing when it comes to speed.Things are changingFor years now, Pandas have stood on the shoulders of NumPy because...
Artificial Intelligence
Super Fast Web Scraping with Polars in Python
Web scraping made easy and fast with Polars in Python.Polars is a dataframe library for Python that is quicker than pandas.Identical to Pandas, we are able to use polars to simply scrape web sites....
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