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Using Spacy with Polars?

Published on: 13th September 2022 How do third-party libraries work with Polars? This post was created while writing my Up & Running with Polars course. Check it out here with a free previ...

Flexible time series aggregations in Polars

Published on: 12th September 2022 Time series aggregations with groupby_dynamic This post was created while writing my Up & Running with Polars course. Check it out here with a free previe...

Doing ML pre-processing in Polars

Published on: 6th September 2022 ML in Polars This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the first chapters One thin...

Setting an attribute shortcut in python

Published on: 5th September 2022 This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the first chapters There’s a tension bet...

Don't loop over columns in Polars

Published on: 5th September 2022 Don’t loop over columns in Polars This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the firs...

IPC files in Polars

Published on: 5th September 2022 IPC files in Polars This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the first chapters A...

Loading from a database with Polars

Published on: 5th September 2022 Loading from a database with Polars This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the fi...

Boolean filters in Polars?

Published on: 5th September 2022 Boolean filters in Polars? This post was created while writing my Up & Running with Polars course. Check it out here with a free preview of the first chapt...

Testing for data science 3: testing with Pandas

Unit testing example - mixed layer depth The chart shows a temperature profile measured by an ARGO float in the North Atlantic in May 2010. The profile has a region of relative uniform temperature...

Testing for data science 2: testing in practice

Testing in practice Core principles of testing The basic principles for all software testing are: Arrange, Act, Assert Arrange: Set things up for the test e.g. load some data Act: Carry out t...