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 In this eBook with 225 pages, first get an introduction to the different tools and their installation. The focus this eBook on scientific or engineering-operation and not a big programming. The ebook is intended for beginners!

 Of course, we start with an introduction to the programming language PYTHON. Here you get the first instructions tells you and you learn to interact with the tool SPYDER to work.  We move very quickly to the additional module NumPy for vector and matrix calculations. Without plot is not a scientist and engineer, and so we begin fairly quickly with the additional module matplotlib for the professional presentation of the results in 2D or 3D charts.
 With the additional module SciPy first applications are presented in the Digital signal processing, such as statistics, digital filters or FFT.  We go into the field of image processing with the module scikit-image.
 We will write simple dynamic simulation models in Python and represent the physical movements with the 3D visualization VPython.  Using the CAS (Computer Algebra Systems), we can solve equations and simplify. We can Integrate, Differentiate.
 The additional module PyBrain help us when it comes to the machine learning and neural networks help us to approximation and classification. content START   This eBook   Copyright ---- Tools und Installation --------------------- What Tools? What Editor? WinPython download Spyder IPython Notebook Interpreter Control Panel Qt TortoiseHg ---- Basics PYTHON --------------------- How to learn a language? Variables Variables Input from Console Lists Methods on Lists Methods and Functions on Lists Lists in Lists in .... Visualize lists FOR-Loop Compiler and Interpreter range() Such a FOR-Loop Zwei FOR-Schleifen Comments IF-ELSE IF-ELSE Endless loop Endless loop True and False Define functions Calling functions Multiple return values 33 reserved keywords ---- NumPy ------------------------------------ What is NumPy? Datentype Array 1D, 2D, 3D Array Datentyps Array Dimensions Slice Functions and methods on array Declare large arrays Save/load data Loading measurement data Time vector ---- Matplotlib ------------------------------- Introduction Plot(x) Label Plot(x,y) Two Signals plott Subplot Histogram Scatter Plot image 3D Plot More 3D Plots ---- SciPy ------------------------------------ What is SciPy? Subpackages   ---- Approximation ---------------------   Interpolation and approximation   Data for interpolation and spline   1D-Interpolation   Linear and non-linear interpolation   Interpolation Number of points   Univariane Spline   Online and offline signal processing   UnivarianteSpline Factor k   2D Interpolation   Online and Offline DSP    ---- Digital filters -----------------------   Basis Filter   Filters with and without feedback   Average value as LP filter   Average value as LP filter in Python   Normalized cut-off frequency   Calculate coefficients a and b   Change filter order   Frequenzgang   Phase delay   FIR band lock   FIR bandpass   FIR high pass   remez()-Function   IIR-Filter   IIR-Filder Designe   IIRDESIGN Function LP-Filter   IIRDESIGN Function HP-Filter   IIRDESIGN Function BP-Filter   ---- FFT ----------------------------------   FFT Basics   Online and offline signal processing   Ideal FFT   FFT normalize   Everything times two   FFT Frequency Scale   FFT correct?   Many sampling points are good!   Fast scanning also good   Ahannon Gesetz bitte nicht verletzen   periode passt nicht   Beginning and end do not fit   Window   Two sine signals   IFFT   Power spectrum   Power Density Spectrum   Spectrogram   2D-Spectrum   What else is there?   Differentiation and integration ---- Image processing ------------------------- Image processing with PYTHON Python(x,y) Matplotlib can load images Image is a matrix You can calculate with matrices Color image, grayscale image and binary image With SciPy you can still use image processing PIL and image processing Load SciKit image an image Histogram of gray image What is a histogram? Black/white image Black/white image with sckit-image Adaptive threshold Contrast and brightness Filter in image processing Filter Functionality Gauss-Filter Median-Filter mean value-Filter High Pass-Filter Edge detection with Sobel filter Edge detection horizontal only Sobel-edge detector Gauß-Filter All Filter Morphology 2D FFT Example FFT 2D What does matching mean? Example Matching Texture and surface Tracking 3D-Detection ---- VPython and Simulation -------------- Introduction First 3D element box() sphere() Animation Animation Change of state Trailer Plot(x,y) Vector as speed Moon and earth orbit Simulation Technology From differential to integral calculus LTI systems and Bodediagram ---- PyBrain and machine Learning ----- What does Machine Learning mean? Installation Register in WinPython module Learning with and without teachers Supervised Learning Student= NN NN should learn x*x Supervised NN in Python Supervised Learning algorithm Backpropagation How to use a network? More neurons Even more neurons Overloading Input-Output Neurons Learning rate Why normalize to 0 to 1? Example XOR Learning until a threshold is reached More data Random data between 0 and 1 2 inputs and 1 output From regression to classification Classification with NN Sequential data type and even more ....... ---- SymPy and mathematics--------------- What is SymPy? What is Computer Algebra System CAS? Add two numbers Fractions Calculating with PI Calculating with variables Computer Algebra Tools Linear equation equate define Solve equation by hand Solve equation with SymPy Gamma Solving equations with SymPy in Python Rational numbers Calculating two equations by hand Calculating two equations with SymPy Two equations and two independents Differentiate function f Integrate function f Power series Matrices Limits THE END email@ebookaktiv.de © 2003-2021    ebooksmechatronic.com Last Update: 22.01.2021 5 Euro

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PYTHON

scientific

computing

ARDUINO

Neuronal network

PyBrain

Simulink

MATLAB

Numpy

Matplotlib

VPython

Sensor

Motor

A/D-Wandler

Interrupt

Timer

RTOS

Sympy

PIL

SciPy

scikit

Image Processing