Resolver One Non-Commercial
1.5 Build 4357
|License:||Free to try|
|Op. System:||Windows Vista/2003/XP|
|File size:||12.74 MB|
|Publisher:||Resolver Systems Ltd|
Publisher description for Resolver One Non-Commercial
Resolver One is a program that blends a familiar spreadsheet-like interface with the powerful Python programming language, giving you a tool with which to better analyse and present your data. To find out more, you can watch our one-minute screencast, look at example applications of Resolver One, or read on! This PaGE, and the pages following (there's a "next" Link at the bottom) give a complete introduction to what Resolver One can do for you. A spreadsheet program... Everything you can do with a traditional spreadsheet, you can do in Resolver One: write formulae, use cell references, format your sheets so they appear just as you like them, put comments in cells, create validation dropdowns, add buttons, and much more. You can even import your existing Microsoft Excel??? documents, or export Resolver One documents as .xls files. ...with powerful features... Resolver One aims to solve the problems that often plague spreadsheets and cost your company money, time and effort. It has a wide range of powerful features that Improve reliability, reduce maintenance costs and provide extensibility, without taking away the rapid prototyping and flexibility that a spreadsheet environment offers. ...and much more! The important difference between Resolver One and traditional spreadsheets is that Resolver One makes scripting a first-class citizen, not an afterthought. In Resolver One, the spreadsheet is the program. As you change your formulae, Python code is generated and executed, with the results displayed as values in the grid. You can then edit the code, define your own functions and use programming constructs that give you unlimited power and flexibility. Get started easily Best of all, you don't have to be a programmer to use Resolver One! You can begin by using familiar spreadsheet functions. Then you can study the generated code to get a feel for how to accomplish certain things in Python.