NumPy (Numerical Python) (English)

Duration
1 dag
Price

€ 845,-
Reviews
1000+ reviews
Location

Nieuwegein
Schedule

Planning ophalen...
Classroom
klassikaal

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This course will be scheduled by request only, or as an in-company training. Our course administration maintains a waiting list of interested individuals. Joining that list is without obligation whatsoever.

The course Numerical Python covers the Python packages NumPy, SciPy en Matplotlib. The packages provide facilities for scientific and technical calculations. They are Open Source, covered by an issue-free license. Main targets during their design were ease of use and efficiency of the calculations on large volumes of data.

Course attendees receive the following documentation:

Course attendees receive a practice book containing copies of the presentations, exercises and answers to the exercises. Furthermore, attendees receive an extensive handout in English language, purpose-built for AT Computing.
Shortly after the course the student will receive a certificate as a proof of participation

We bieden deze cursus ook in het Nederlands aan, bekijk het hier: Numerical Python.

Objectives

This course will enable the students to use the special NumPy-ndarray-facilities. Laboratory exercises will have demonstrated the most popular NumPy functions (methodes) and data types. Visualising one and two dimensional data using Matplotlib, and using plot functions to explore the functionality of SciPy will become part of the student’s repertoire. The SciPy functions allow the construction of programs to support complex scientific problems.

Target audience

Programmers planning to use the Python language for scientific calculations.

Requirements

Programming experience with the Python language.
A background in mathematics as required for scientific applications: complex numbers, goniometry, polynomes, calculus, distributions, Fourier transformations.
If in doubt, please contact us.

Particularities

This course is delivered in collaboration with AT Computing. Not covered during this course the relationship between NumPy/SciPy and MatLab

Fabian Klostermann

accountmanager

Topics

NumPy arrays (ndarray), corresponding data types and operations
Relationship between Python’s standard Math functions and their ‘vectorised’ NumPy counterparts
Scalar and array operations, linspace(), augmented assignments
Array comparisons, any(),all(), slicing, indexing, reshape()
Views vs. copies, ravel(),flatten(),transpose(), more methods
NaN and inf
Data in text files, loadtxt

Random numbers, distributions, Monte Carlo simulations, polynomes
Matrices and their operations
Matplotlib: 2D and 3D plots, image and contour plots, enhanced plots
Special classes: figure, axes, axis, patch, histogram
Surface plots using meshgrid
SciPy modules misc, optimize, leastsq
SciPy: the args parameter for function arguments

Schedule & Price

* * This course event is guaranteed to run.
*Een cursus met valt onder de actie Summer Academy.

All prices are exclusive of VAT.

We are happy to help you. Please fill in the request form below and you will receive the requested information as soon as possible.

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