Where we demonstrate a new way of doing interactive image analysis.

Where we store links to emails in org-mode, and open them using neomutt.

Where we make pushing messages from a python backend to the browser easy.

Where we build TensorFlow from scratch.

Where we discuss two ways of installing Matplotlib on MacOS.

Where I announce the SciPy 2013 proceedings, and talk about how we did it.

Where I summarize 5 years of my life in 10 pages.

We’re happy to announce the 7th version of scikits-image! Scikits-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. For more information, examples, and documentation, please visit our website. New Features It’s been only 3 months since scikits-image 0.6 was released, but in that short time, we’ve managed to add plenty of new features and enhancements, including

EDIT 2023-01-06: Nowadays, there is use-package. I recently tried to install MuMaMo as one of the dependencies for Takafumi Arakaki’s Emacs-based IPython notebook. The instructions on the MuMaMo webpage were as clear as mud and aimed primarily at Windows users. Enters apt-get for Emacs! My Emacs setup is shared across multiple machines: a synchronized elisp folder, containing *.el files, along with my .emacs configuration. el-get allows you to share your package installation folder in a similar fashion.