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WaveMetrics Igor Pro 9.02 (Win/macOS)

WaveMetrics Igor Pro 9.02 (Win/macOS)
Free Download WaveMetrics Igor Pro 9.02 (Win/macOS) | 320/282 Mb
Igor Pro 9 is an interactive software environment for experimentation with scientific and engineering data and for the production of publication-quality graphs and page layouts. Igor has been used by tens of thousands of technical professionals since its introduction in 1989.


Igor Pro combines powerful tools with an easy to use, point and click interface for the casual user together and a programming environment for the sophisticated user. Igor Pro's plugin technology extends the built-in functionality with custom tools for data acquisition, instrument control and computational tasks.
The latest Igor Pro 9 release contains hundreds of improvements, including built-in support for HDF5, 24 new functions and 34 new operations. View the full list of updates here.
Igor Pro is an excellent tool for
Graphics Creation - Igor Pro is first and foremost a publication quality scientific and engineering graphics program, capable of creating visually stunning 3D graphics as well as 2D graphs
Data Access - Scientists and engineers encounter many data formats. Igor Pro provides a variety of import, storage and export capabilities that can handle almost any requirement.
Data Storage - Unlike spreadsheet programs, Igor Pro's data objects won't clutter up your screen. Efficiently organize your data into a hierarchy, just like you would organize files in a hierarchy of folders on your hard drive!
Data Manipulation & Math - Igor Pro provides an extensive library of math and data manipulation routines and Igor's array-oriented arithmetic make complex operations a snap.
Image Processing - Igor Pro contains a full set of operations and functions for scientific image analysis applications.
Data Analysis - Igor provides many analysis capabilities, including curve fitting, peak analysis, signal processing and statistics.
Analysis of Function - Igor includes several operations that work on functions rather than discrete data points, including: Descriptionting of functions, differential equations, numerical integration of functions, root finding and optimization.
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