Charles Explorer logo
🇬🇧

Programming in IDL - Data Processing and Visualisation

Class at Faculty of Mathematics and Physics |
NEVF135

Syllabus

*

1. IDL syntax overview Basic program structures, variable declaration, functions, procedures and their parameters, supported data formats. Differences to other programming languages. *

2. Using IDL integrated development environment IDL scripts, program modules and their debugging. Running code under IDL Virtual Machine. *

3. Data files Reading and writing from/to text and binary data files. Supported data file formats. Scientific data formats (CDF, NetCDF). *

4. Drawing of graphs 2D and 3D graphics, colors, fonts, printing. *

5. Data processing in  IDL Selected mathematical algorithms in IDL - examples of data interpolation, curve and surface fitting, filters, signal analysis, image processing, statistics. *

6. Advanced graphical methods Introduction to animation, volume rendering, maps and geographical projections. *

7. Graphical user interface applications GUI design and development, widgets, event processing. *

8. Writing of cross-platform applications, integration with other programming tools. Exchange of data and IDL code between different operational systems (Windows, Unix). Dynamic loaded libraries and modules. External IDL calls. Dynamic web pages with IDL scripts.

Annotation

Introduction to IDL (Integrated Data Language). IDL is often used in astrophysical, astronomical, geophysical, and meteorological applications.

Using IDE. Syntax, variable types, supported data formats. Writing functions and procedures. File input-output. 2D and 3D graphics. Selected mathematical algorithms in IDL. Advanced graphical methods. GUI development.

Writing of cross-platform applications, integration with other programming tools.