Scientific Python

SpiralTrain BV

In this course the participants will learn what can be done with the Python SciPy library for scientific computing.

Price

from €1,699

Level

Not specified

Kind

Training

Subject

Automation and IT, Training and education

More information and registration at SpiralTrain BV

Description

Matrices in Science The course starts with an overview of the role of matrices to solve problems in scientific computing. Matrix Manipulation Next the course proceeds by reviewing basic manipulation and operations on them, followed by factorizations, solutions of matrix equations, and the computation of eigenvalues and eigenvectors. Interpolation and Approximation Also interpolation and approximation is treated where advanced techniques are shown to approximate functions and their applications in scientific computing. Differentiation en Integration Differentiation techniques to produce derivatives of functions are discussed as well as integration techniques showing how to compute areas and volumes effectively. Computational Geometry The module Computational Geometry takes a tour of the most significant algorithms in this branch of computer science. Statistics and Data Mining And finally the course pays attention to statistical inference, machine learning, and data mining. Audience Scientific Python Course Scientists, mathematicians, engineers and others who want to use the SciPy Python library to create applications and perform data analysis.