
cosmics.py - L.A.Cosmic algorithm implementation in Python (for cosmic ray detection).idlsave - An IDL's "save" file format reader (to numpy types).SAMPy - A SAMP implementation for Python.pywcsgrid2 - Astronomical plotting with matplotlib.It includes coordinate and WCS manipulation, tables and plotting utilities. Kapteyn Package - A very complete and well documented collection of libraries from the Kapteyn Astronomical Institute.APLpy - Astronomical Plotting Library with matplotlib.

It also enable to call IRAF tasks from Python.
#IDL SMOOTH INSTALL#
Differing from monolithic-packages as IDL or Matlab, where you have one plotting library, one GUI library, a standard IDE (integrated Development Environment) and so on, all with a common documentation, in Python, as with any general use programming language, you have to choose the modules you need and install them, refering to the documentation of each module separately. Of course, there mature scientific and mathematical libraries.īeeing Python so extensive, its easy to get lost with all the possible modules and its documentation, because there are many options to do the same.

Apart from its simple syntax and very smooth learning curve, the main advantage of Python is that you can use it virtually for everything, having modules for database interaction, web development, parallel computing and a long etcetera. Python is becoming one the most used interpreted languages for data analysis, competing directly with well-stablish commercial solutions as Matlab or IDL.
