In this tutorial you find NumPy exercises that create images.
It is meant as a gentle introduction to NumPy. It assumes that you have made your first steps with Python already. To get the best out of it, put it into practice immediately:
paint things – create art – have fun!
If you are using the Anaconda distribution, you should have all necessary libraries already.
Otherwise, download or clone the git repository github.com/krother/generative_art and install the libraries using
pip install -r requirements.txt
Next, try the examples and challenges.
|Grayscale||Create a grayscale image|
|Color||Create a RGB image|
|Random Blur||Create random pixels|
|Decision Tree||Color prediction|
|Shadow||shadow using a mask|
|Puzzle||vstack and hstack|
|Contour Lines||Gaussian Mixture|
|Edge Detection||Sobel Operator|
(c) 2019 Dr. Kristian Rother (
Distributed under the conditions of the MIT License. See
LICENSE for details.
The Brandenburg Gate image is by Thomas Wolf, www.foto-tw.de / Wikimedia Commons / CC BY-SA 3.0
I am a professional Python trainer, developer and author based in Berlin. I believe everybody can learn programming.
Contact me via:
+49 176 3052 4691
Thanks to Kristians tips for structuring difficult topics I could overcome my writers' block. The training session was a big help! Thanks!
Sarah M, Archaeology dept., FU Berlin