SQXL bridges between Python's powerful financial and scientific solutions and the interactive windows environment users have come to expect.
With its hundreds of modules from statistics and econometrics to SQL to HADOOP, Python as a general purpose dynamic scripting language offers unbeatable solutions. It has become the "must support" language as witnessed by Microsoft's Visual Studio, IBM's SPSS Python Essentials, and Oracle's Python tutorials, just to name a few. Whether driven by self preservation or opportunity, the course has clearly been set.
Windows accomplishes program control with menu choices, alleviating the need for users to learn and remember intricate command languages. Problem is, it has always taken a large market to warrant the time, cost, and needed expertise to implement the simplest application. And certainly never justified for the individual user or dedicated solution. Problem solved; the quick and easy way to create windows solutions for each and every need, SQXL's Rapid Application Development.
Python produces numbers, tables, charts; wrap words around them and create a file, print a report, or maybe short a stock.
What if the actual results are not just numbers but processes or conditional on the responses to questions. What if they set in the middle of a larger project where automation counts, or require real-time data exchanged over the Internet? SQXL's interactive documents, Venues, and automatons allow for their implementation and a lot more.
Beyond providing an instructional interface to Python, SQXL OE permits
SIRE work products to be freely distributed and utilized by students,
staff, clients, and customers.
Made up of multiple sentient editors operating synergistically
with Python, OE offers intrinsic connectivity with active documents
and application Venues; transitioning from an instinctive Python interface
to a customizable scientific, business, and analytical tool.