-
Kinesis Freestyle (Terrible key switches. Mushy and un-lovable)
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Kinesis Freestyle Edge (Traditional layout with too many keys, mech switches, proably too big to be tented easily/properly)
-
Matias Ergo Pro (Looks pretty great. Have not tried.)
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ErgoDox Kit (Currently, my everyday keyboard. Can buy pre-assembled on eBay.)
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ErgoDox EZ (Prolly the best option for most people.)
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// check version | |
node -v || node --version | |
// list locally installed versions of node | |
nvm ls | |
// list remove available versions of node | |
nvm ls-remote | |
// install specific version of node |
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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func DoReq() error { | |
resp, err := http.Get("http://localhost:8080/ping") | |
if err != nil { | |
return err | |
} | |
defer resp.Body.Close() | |
if resp.StatusCode < 200 || resp.StatusCode >= 300 { | |
return errors.New("bad response") | |
} |
Source: https://bleepcoder.com/starship/640385008/unable-to-install-on-windows-git-bash-configuration-not
All scripts should be ran in your git bash terminal, not cmd or ps.
- Make/Choose folder where to install:
mkdir -p ~/bin/starship && cd ~/bin
- Download the install script:
curl -fsSL https://starship.rs/install.sh > ./install.sh
- Run install script:
./install.sh --bin-dir /c/Users/<username>/bin/starship/ --platform pc-windows-msvc
- Finally add the following to the end of your .bashrc file:
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// This playground shows you a few different ways to get device info via IOKit. | |
// If you want to explore IOKit and look for interesting data I would download | |
// the Additional Developer Tools from Apple and use the IORegistryExplorer app. | |
// It makes it super easy to poke around in the IOKit planes. | |
import IOKit | |
import Foundation | |
// For convient access we can make a computed getter for the PlatformExpert. | |
// Traditionally this has been where you go to find all sorts of data about the |
Link al curso de React: REACT DESDE CERO por Sergie Code
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import numpy as np | |
from tqdm import trange | |
def get_neighbour_matrix(x, L, R): | |
dx = np.subtract.outer(x[:, 0], x[:, 0]) | |
dy = np.subtract.outer(x[:, 1], x[:, 1]) | |
dx[dx > (L / 2) ** 2] -= (L / 2) ** 2 | |
dy[dy > (L / 2) ** 2] -= (L / 2) ** 2 | |
pair_dist = dx ** 2 + dy ** 2 |
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