Spyder is the Scientific PYthon Development EnviRonment: a powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features and a numerical computing environment thanks to the support of IPython (enhanced interactive Python interpreter) and popular Python libraries such as NumPy (linear algebra), SciPy (signal and image processing) or matplotlib (interactive 2D/3D plotting). Spyder may also be used as a library providing powerful console-related widgets for your PyQt-based applications – for example, it may be used to integrate a debugging console directly in the layout of your graphical user interface.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python 3.6 (2020)
- Lynch, Stephen: Dynamical systems with applications using Python (2018)
- Abali, Bilen Emek: Computational reality. Solving nonlinear and coupled problems in continuum mechanics (2017)
- Gordon, Steven I.; Guilfoos, Brian: Introduction to modeling and simulation with MATLAB and Python (2017)