Welcome ! This project is intended for use in conjunction with Kandinsky on a laptop or Numworks calculator. It allows you to add graphical functions, mainly around new drawing functions like line or circle drawing, but also mathematical classes like vectors or points, and much more !
I recommend that you test the sample files on your computer, as you may be able to increase the speed.
To install it on the Numworks, we have the choice :
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Just follow this link to the Numworks website
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you just need to copy and paste the code from this file: visuel into a new script on your Numworks account. Then upload them to your calculator.
Here's an example of what you can do with the calculator, using the example file. Click here to see it on the Numworks website.
If you have any questions, go to the FAQs section, or explore all the examples here after visiting this page to install kandinsky and ion on your computer !
To use it properly you need to install several python packages on your computer whith the command line:
pip install kandinsky
- Ion :
pip install --pre ion-numworks
And python, of course, here if you don't already have it.
You can change the emulator's OS by pressing "CTR+O" to increase speed, so you can get the most out of it without seeing everything slow down !
First of all, after you're on your computer, you need to start by importing it after installing it in the current directory, and write that on the first line of your project:
from visuel import *After that, you need to understand how this script is organized, with points and vectors for example, and how it works, with its functions. For this purpose, you have at your disposal one Jupiter Notebook containing everything that can be shown in writing for the file visuel_example. Then there are plenty of example files for everything to do with graphics. You can see the results with the following images :
- Function interpolation : example_interpolation.py
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Function expend : example_vectoriel_geometry
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Function findWithPoint : example_findwithpoint.py
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Function alpha_pixel and argument "alpha" in draw function : example_alpha_layer.py
We have to take a number less or equal to 0, and greater or equal to 1 for the alpha parameter
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- Function scatter : example_scatter.py
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- Function plot : example_plot.py
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- Function set_lines : example_lines.py
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- Function draw_points : example_point.py
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- Function draw_croix : example_croix.py
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- Function draw_arrows : example_arrows.py
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- Function draw_vector : example_vectors.py
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- Function draw_droite : example_droite.py
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- Function fill_triangles : example_triangle.py
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- Function draw_polygone and fill_polygone : example_polygone.py
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- Function draw_circle and fill_circle : example_cercle.py
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- Function bezier curve : example_bezier_curve
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The link to the example script: example_fractal.py
And the source script: fractal.py
Don't forget to install the lines extension (here) in your computer !
| Basics Tree | Palmier |
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| Cyan Tree | Cyan Tree | Cyan Tree | Cyan Tree |
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| Magenta Tree | Magenta Tree | Magenta Tree |
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| Examples Trees | Examples Trees | Examples Trees |
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| Angle Tree | Angle Tree |
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Here are some extensions designed to work with the calculator. However, the latest extension, Grapher, will only work on a computer. They include a number of extra features, notably a reproduction of the turtle module, and another, much simpler one, of the matplotlib.pyplot module. I'll let you discover them with some beautiful images!
You need to copy and paste the code from the extension files into a new file created on the Numworks website.
- Extension Lines : lines_example.py
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- Extension Ellipses : example_ellipse.py
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- Extension Turtle : turtle_example.py
The turtle extension has both a compact and a non-compact file for use on the computer.
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- Extension Grapher : grapher_example.ipynb
| Keys | Short |
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| Arrows [Up, Down, Right, Left] | allows you to move around the grapher |
| 'Maj'+'=' or '+' | zoom in or out |
| 'Maj'+'à' or '0' | refocuses the graphic |
| 'Ctr'+'o' | changes the emulator, thus increasing speed |
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Here are two QR codes to easily find the Visuel library on GitHub and on the official Numworks website. Use them without restriction!
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A list of frequently asked questions (for the moment there is none).