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NOTICE

In the interests of protecting our staff, trainers and you, our clients, we will be suspending all instructor-led training from 15th July 2020 until it is safe again.

Our company is working remotely to serve our clients and we are still offering courses via webinar. If you feel your online course didn’t meet that standard, you are welcome to re-attend your course in class when we re-open.

Details

Python has a fantastic array of modules that are useful to both scientists and engineers. Easily enabling data processing, modelling, linear algebra and much more. Tools that allow immediate data visualization are particularly helpful.

In this course you will learn how to:

  • Perform complex maths in Python
  • Solve mathematical equations symbolically using python
  • Use numerical methods to find solutions to mathematical problems
  • Perform simulations

Delivery Methods

Delivery Method Duration Price (excl. VAT)
Fulltime 2 Days R 5,500.00
Webinar 2 Days R 4,600.00

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

Download Brochure


Information may change without notice.

Audience

Scientists, Engineers, data scientists.

Pre-Requisites

Python programming

Course Outline / Curriculum

Symbolic Math (symy)

Symbols

isympy

Numeric types

Differentiation and Integration

Ordinary differential equations

Series expansions and plotting

Linear equations and matrix inversion

Non linear equations

Output: LATEX interface and pretty-printing

Numerical Python (numpy)

Introduction

Arrays (Matrices)

Convert from array to list or tuple

Standard Linear Algebra operations

Numpy for Matlab users

Visualising Data

Matplotlib 2D plotting

Matplotlib and Pylab

pyplot, numpy

Fine tuning your plot

Plotting more than one curve

Histograms

Visualising matrix data

3D Plots

 

Visual Python

Basics, rotating and zooming

Setting the frame rate for animations

Tracking trajectories

Connecting objects (Cylinders, springs, 3d vision)

Visualising higher dimensional data

 

Numerical Methods (scipy)

Overview

Numerical integration

Solving ordinary differential equations

Finding roots using the bisection and fsolve method

Fast Fourier Transforms

Interpolation and curve fitting

 

Simulations (simpy)

 

Schedule Dates and Booking

There are currently no scheduled dates.

Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.

Add me to the waiting list

Should you need this course urgently, the following options are available:

  1. Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
  2. If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.