Spotfire Ideas Portal
WHAT: Enable Python via Data Functions on TSSS and locally
WHY: Many Data Scientists today use Python libraries (NumPy, SciPy, etc.) for Data Analysis, but the organizations in which they work find it difficult to leverage the value of their work/discovered insights by rapidly building applications which could put these analytics into the hands of key decision makers.
| Implemented in | 10.7 |
Implemented for Spotfire Analyst in Spotfire 10.7. See https://community.tibco.com/wiki/whats-new-tibco-spotfire-107
The capability to run Python data functions in the web client is tracked in https://ideas.tibco.com/ideas/TS-I-7546
Python is always more and more preferred to other languages. An article among others: https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html
Something analogous to "Tools > TERR Tools > Package Management" would be useful
Something analogous to Tools > TERR Tools > Packagement would be useful
This article summarizes a trend in programming languages usage, based on a number of proxy metrics http://www.datasciencecentral.com/profiles/blogs/python-overtakes-r-for-data-science-and-machine-learning
For many Python is preferred to R
Python is increasing in popularity and function. Numpy, SciPy, NetworkX and all of the other data manipulation tools.
Python is also more accessible to developers and data scientists as it follows a procedural/functional programming model.