- October 20, 2018
UniData
Python Data Science and the Rocket MultiValue Database ( Part 3 of 3 )
Now that we have gone over some of the basics such as manipulating numpy arrays and pandas data frames in the first two parts of “Python Data Science and the Rocket MultiValue Database”, we will now create a simple object for managing the storage and retrieval of data to a Rocket MultiValue database. For our […]
Rocket Technical Support Team Gathers for Training and Education
The teachers’ comments on my school report cards were not always encouraging – they included phrases such as “the improvement in Simon’s handwriting has revealed his inability to spell” and the parent-alarming “I am sorry to tell you that Simon is trying his best”. Despite that, I have always regarded education highly and am with […]
Extending MV Basic by Calling Python
Introduction One of the compelling things about using Python is the ability to extend the capability of the MultiValue platform. Perhaps you are thinking that means Python having access into the MultiValue environment to read / write data files, run commands and call Basic subroutines. Certainly that can be done but more than that, Python programs can be called […]
Python Data Science and the Rocket MultiValue Database ( Part 2 of 3 )
In “Python Data Science and the Rocket MultiValue Database ( Part 1 of 3 )“ I provided an introduction to Numpy, and showed how to convert a Numpy array to a u2py.DynArray. In this section I will go a bit further and show: How to write the numpy data to a Rocket MultiValue file How […]
UniVerse External Database Access (EDA) with I-type field dictionary items against SQL Server
Overview External Database Access (EDA) enables you to convert data stored in Rocket UniVerse and Unidata databases to a first normal form (1NF) database, such as Microsoft SQL Server, then access that data using existing UniVerse BASIC programs, RetrieVe, or UniData/UniVerse SQL. For the UniVerse I-type fields, they can be mapped in many ways to […]
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