By @foldleft.bsky.social, see also Unfollow everyone on bsky.app.
https://twitter.com/YOUR_USER_NAME/following// Unfollow everyone on twitter.com, by Jamie Mason (https://twitter.com/fold_left)
| #!/bin/bash | |
| ##################################################### | |
| # Name: Bash CheatSheet for Mac OSX | |
| # | |
| # A little overlook of the Bash basics | |
| # | |
| # Usage: | |
| # | |
| # Author: J. Le Coupanec | |
| # Date: 2014/11/04 |
| # By Jake VanderPlas | |
| # License: BSD-style | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def discrete_cmap(N, base_cmap=None): | |
| """Create an N-bin discrete colormap from the specified input map""" |
GitHub Pages is great for building a personal or project website. It'll default to http://username.github.io, or you can even use your own custom domain name from services like Namecheap, which I will write about in another post soon.
So you set up your GitHub Page for yourself or project, but what if you want to show off some of your other projects you are working on. You can go the poor man's route, and simply just copy everything from another repository into a folder in your username.github.io repository, commit and push the changes to GitHub, and you'll be able to navigate to http://username.github.io/project.
But this comes with some seriously inconvienent and non-conventional drawbacks, such as duplication of code across repositories and manually copy/paste-ing everytime changes are made to update your hosted codebase. Good luck maintaining that.
The other
All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.
Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.
elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent
| # A function to rasterize components of a matplotlib figure while keeping | |
| # axes, labels, etc as vector components | |
| # https://brushingupscience.wordpress.com/2017/05/09/vector-and-raster-in-one-with-matplotlib/ | |
| from inspect import getmembers, isclass | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| def rasterize_and_save(fname, rasterize_list=None, fig=None, dpi=None, |
| def lighten_color(color, amount=0.5): | |
| """ | |
| Lightens the given color by multiplying (1-luminosity) by the given amount. | |
| Input can be matplotlib color string, hex string, or RGB tuple. | |
| Examples: | |
| >> lighten_color('g', 0.3) | |
| >> lighten_color('#F034A3', 0.6) | |
| >> lighten_color((.3,.55,.1), 0.5) | |
| """ |
| /* Written in 2017 by Tommy Ettinger ([email protected]) | |
| To the extent possible under law, the author has dedicated all copyright | |
| and related and neighboring rights to this software to the public domain | |
| worldwide. This software is distributed without any warranty. | |
| See <http://creativecommons.org/publicdomain/zero/1.0/>. */ | |
| #include <stdint.h> |
| # Copyright 2019 Google LLC. | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # Author: Anton Mikhailov | |
| turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913 |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on 2019-08-22 09:37:36 | |
| @author: fmiorell | |
| """ | |
| # This script registers the "turbo" colormap to matplotlib, and the reversed version as "turbo_r" | |
| # Reference: https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html |