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Stefan Urbanek
268 followers -
data brewmaster and knowledge designer
data brewmaster and knowledge designer

268 followers
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Let's meet and greet at the very first New York Data Brewery meetup, as promised at the latest #pydata  conference. The meetup is planned for Tuesday, 20th of January.

#datawarehouse #Python #Data  

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Video from my talk at #PyData  2014 in NYC about new features in Cubes 1.0.

#datawarehousing   #olap   #python   #python3   #data  

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Introduction to (Data) Warehouse for Laymen

#data   #opendata   #datawarehouse  

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For those who are new to Smalltalk but familiar with other programming languages, here are two good references to read:

Design Principles Behind Smalltalk: http://www.cs.virginia.edu/~evans/cs655/readings/smalltalk.html

I Can Read C++ and Java But I Can’t Read Smalltalk: http://www.eli.sdsu.edu/courses/spring01/cs635/readingSmalltalk.pdf

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Expressions – small Python library for adding arithmetic expression parser/compiler to your application or library. Example uses: validate expressions, analyse expressions, unify arithmetic expression grammar if you are using multiple backends... Uses Grako.

#python   #python3   #data   #pydata   #programming   #compilers  

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Grako 3.4.0 brings improved support for Unicode in all aspects of parsing.

Previous releases have included support for left recursion, multiple translation targets, rule arguments, and more.

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Cubes 1.0 released – Cubes is a light-weight Python framework, set of tools and a HTTP server for analytical data modelling and processing (OLAP). Allows easy creation "pluggable data warehouse". Easy way for creating a reporting/analytical application.

#datawarehouse   #data   #python   #python3   #opendata  

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Bubbles – Python data integration/ETL framework (prototype). An introduction at +OKFN Labs - Open Knowledge Foundation .

#data   #datawarehouse   #python   #python3   #etl  

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Checkout this new small #python  scraping library with very simple and intuitive piping interface – Scrape Kit  by +Friedrich Lindenberg.   #Opensource   #Data  

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