public-mirrors/3b1b-manim
1
0
Fork 0
mirror of https://github.com/3b1b/manim.git synced 2025-09-01 00:48:45 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge pull request #318 from DanWaxman/master

Browse source 
Modify Directions for Docker to Reflect Interactivity
This commit is contained in:
Grant Sanderson 2018-10-04 18:24:21 -07:00 • committed by GitHub
commit 38255e65c6
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 7 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

9
README.md
View file

@ -4,7 +4,7 @@ Animation engine for explanatory math videos.
For those who want to play around with this tool, I should be upfront that I've mostly had my own use cases (i.e. 3b1b videos) in mind while building it, and it might not be the most friendly thing to get up and running. In particular, I have not done a great job tracking requirements, writing
tests, and documentation, to put it euphemistically, almost exclusively takes the form of naming conventions.
For 9/10 of math animation needs, you'd probably be better off using a more well-maintained tool, like matplotlib, mathematica or even going a non-programatic route with something like After Effects or even Keynote. I also happen to think the program "Grapher" built into osx is really great, and surprisingly versatile for many needs. My own reasons for building this tool and using it for videos are twofold, and I'm not sure how well they apply to other people's use cases.
For 9/10 of math animation needs, you'd probably be better off using a more well-maintained tool, like matplotlib, mathematica, Processing or even going a non-programatic route with something like After Effects or even Keynote. I also happen to think the program "Grapher" built into osx is really great, and surprisingly versatile for many needs. My own reasons for building this tool and using it for videos are twofold, and I'm not sure how well they apply to other people's use cases.
1) If I wish to work with some new type of mathematical thing (e.g. a fractal), or to experiment with a different type of animation, it's easier to work it into the underlying system and manipulate it the same way as more standard objects/animation. Admittedly, though, part of the reason I find this easier is because I'm more familiar with the underlying system here than I am with others. This keeps me from shying away from certain video topics that I would otherwise have no idea how to animate.
@ -60,4 +60,9 @@ a Dockerfile provided.
1. [Install Docker](https://www.docker.com/products/overview)
2. Build docker image. `docker build -t manim .`
3. Run it! `docker run --rm -v "$PWD/files":/app/files manim example_scenes.py WarpSquare`
3. Run it! `docker run --rm -itv "$PWD":/root/manim/ manim`
On a Windows system, make sure to replace `$PWD` with an absolute path to manim.
Note that the shipped Docker image contains the bare requirements to run manim. To transform the Docker container into a fully-functioning development environment, you will have to edit your personal Dockerfile a bit. For a guide to create your own personal Docker image, consult []