scientific-visualization-book

ok, that makes sense. not indicated, and the general idea of dataviz is to communicate clearly. when you have a number, what it represents should be noted, and the units. if I see a number in that context, I assume it's calling out the value displayed. the x axis is also a bit off, would ideally plot the date of the release and use a proper time axis. a title is also good to have, maybe a data table. sorry to be cranky but those who are downvoting , try to be clear, learn some standards, or stay away from publishing charts. you can even ask AI to clean up your code to conform to a standard. Soft skills are important for an engineer. You need to explain the work in clear, persuasive language and dataviz. or you can be, I'm a super-smart engineer, you figure out what I'm trying to say, I don't need to worry about making your eyes bleed. cri

I had the same problem until I found this tutorial: https://github.com/rougier/matplotlib-tutorial If you wan something deeper the same person has written a book: https://github.com/rougier/scientific-visualization-book

This book was published in 2017. The author, Nicolas Rougier, also has a few other books online books on data visualization[0] and the reproducibility problem in research[1]. [0] https://github.com/rougier/scientific-visualization-book [1] https://rr-france.github.io/bookrr

I can strongly recommend this book: https://github.com/rougier/scientific-visualization-book

Past discussion: "Python Graph Gallery" https://news.ycombinator.com/item?id=15481578 (Oct 16, 2017 | 28 comments) --- See also: * https://github.com/donnemartin/data-science-ipython-notebook... * https://github.com/rougier/scientific-visualization-book

For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book

Here is the link: https://github.com/rougier/scientific-visualization-book Incredible work by Nicolas Rougier!

This book is distributed under a non commercial license (CC-BY-NC-SA 4.0) [0]. While I understand that language is evolving and that only under a "strict definition" of open access does it mean removing barriers to copying and reuse [1], it's seems pretty duplicitous to say it's "open" while putting it under a non-commercial license. [0] https://github.com/rougier/scientific-visualization-book/blo... [1] https://en.wikipedia.org/w/index.php?title=Open_access&oldid...

Speaking of what's possible in matplotlib, I am very much looking forward to reading this book: https://github.com/rougier/scientific-visualization-book

At this point, I feel like there are too many "Intro to Python" courses floating around. It will take a newbie, multiple hours of reading reviews and recommendations to find a course. There are many good ones out there. I wish there was more effort spent on creating intermediate courses. It would be great if there were more people trying to write books like this Nicolas Rougier is trying (https://github.com/rougier/scientific-visualization-book). Take a specific library and help people become proficient in them. Usually, the core contributors to a library are not always the best people to teach people how to use that library.

Thanks all. There is a new and ongoing book project at https://github.com/rougier/scientific-visualization-book