JMP Scripters Club

Does it make sense to use the Scripters Club platform to discuss new and future enhancements to JSL? The aim would be to organize ideas, inform people about new features, and advertise future improvements. Game Changers: Expression Handling 9 Data table subscripting  13 Add-In Manager 2017 Python and R embedded  18 Migrate to new JSL code editor    Comprehensive scripting index                  Cool/helpful new Features: Graph dependent formulas (scoped formulas)  [@Graph, @Overlay, @X] 19 new Col aggregations Dif() and Lag() formula functions by column group (byVar argument)        dif() / lag() -> col at(), row() -> col sequence() Add dense ranking to Ranking Tie and Col Rank functions            col score() Col N Categories                                        col N unique() Group by - sooo useful!!! how about Interpolate?                                           col interpolate()  19 Get Unique Items        set unique()   - and other set ...() operations 19 optimized syntax highlighting in JSL editor    (find errors with commas, semicolons and brackets)   Expression Indexing: read and write access    JSL function to get the current status of modifier keys    Option or function to evaluate a custom column formula at once, or cache values between rows    Keyword arguments for functions    Improve and document error messages    Col Median (and others): add "Where" option                  nice to have: JSL bit operations                      ... View more

R is making a powerful return in JMP 19, and it’s bringing Python along for the ride! Join Paul Nelson and Evan Carr from JMP Software Development team as they walk us through the new capabilities for R and Python integration in the latest release. This session will focus on how these languages now work more seamlessly with JSL, enabling more flexible and powerful scripting workflows. ... View more

Presenter:  @Georg      Find the presentation slides here: https://community.jmp.com/t5/Abstracts/Data-Cockpit-Ways-to-Enrich-a-Master-Table-with-Additional-Data/ev-p/708109?profile.language=en   ... View more

Presenter: @jthi    In our quest to harness Python's extensive capabilities within JMP, we faced the challenge of integrating Python's flexibility with JMP’s intuitive and interactive user experience. Prior to JMP 18, we achieved this through a workaround ‒ running Python on a server to bypass JMP’s cumbersome Python integration. However, the release of JMP18 re-introduced Python integration, simplifying this process.   Building on our initial concept of enabling JMP users to leverage Python without requiring programming expertise, we developed JMPyFacade (JMPy). This tool offers a familiar interface, since it is similar to JMP's, for executing predefined Python services via dynamically generated user interface, all while abstracting the underlying Python and JSL code.   In this presentation, we explore the technical architecture of JMPyFacade and demonstrate how it effectively bridges the gap between JMP and Python. Attendees learn how Python can be leveraged within JMP for efficient and engaging data analysis.   ... View more

Presenter: Justin Chilton, JMP Software Testing Expert In this Scripters Club session, Justin Chilton, the developer behind the popular Add-In Manager on the JMP Marketplace, will showcase how to better organize, update, and deploy your JMP add-ins. Learn how this tool can simplify your scripting workflow and improve how you manage and share your custom solutions. ... View more