Python-bloggers

Raymond Hattinger is one of the core Python developers whose talks I’ve featured on my blog before. And rightfully so, as Raymond’s presentations are unarguably entertaining and deeply insightful from an technical perspective. In this recorded talk at the 2016 Annual Holiday Party for Python Devs in San Fransisco ... [...Read more...]

Over the course of last week, I built a Python program that scrapes quotes from Goodreads.com in a tidy format. For instance, these are the first three results my program returns when scraping for the tag robot: Quote author source likes tags Goodbye, Hari, my love. Remember always–all ... [...Read more...]

I’ve been writing a lot about a category theory interpretations of data-processing pipelines and some of the improvements we feel it is driving in both the data_algebra and in rquery/rqdatatable. I think I’ve found an even better category theory re-formulation of the package, which I will ... [...Read more...]

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In our recent note What is new for rquery December 2019 we mentioned an ugly processing pipeline that translates into SQL of varying size/quality depending on the query generator we use. In this note we try a near-relative of that query in the data_algebra. dplyr translates the query to ... [...Read more...]

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Introduction I would like to talk about some of the design principles underlying the data_algebra package (and also in its sibling rquery package). The data_algebra package is a query generator that can act on either Pandas data frames or on SQL tables. This is discussed on the project ... [...Read more...]

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