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@markerikson
markerikson / react-controlled-inputs.md
Last active June 15, 2021 12:50
React "controlled" vs "uncontrolled" inputs explanation

[12:03 AM] acemarke: "controlled" and "uncontrolled" inputs
[12:04 AM] acemarke: if I have a plain, normal HTML page, and I put <input id="myTextbox" type="text" /> in my page(edited)
[12:04 AM] acemarke: and I start typing into that textbox
[12:04 AM] acemarke: it remembers what I've typed. The browser stores the current value for that input
[12:05 AM] acemarke: and then sometime later, I can get the actual element, say, const input = document.getElementById("myTextbox"), and I can ask it for its value: const currentText = input.value;
[12:05 AM] acemarke: good so far?
[12:08 AM] acemarke: I'll keep going, and let me know if you have questions
[12:08 AM] lozio: ok, actually I'm reading
[12:09 AM] lozio: good
[12:09 AM] acemarke: so, a normal HTML input field effectively stores its own value at all times, and you can get the element and ask for its value

@mtmorgan
mtmorgan / gist:bd147505b89e42a151f9
Created June 24, 2015 18:54
dplyr / SummarizedExperiment compatibility layer -- half baked
## dplyr compatibility
as.data.frame.RangedSummarizedExperiment <-
function(x, row.names=NULL, optional=FALSE, ...)
{
colData <- colData(x)
rownames(colData) <- NULL
cbind(as.data.frame(rowRanges(x)[as.vector(row(x))]),
as.data.frame(colData[as.vector(col(x)),, drop=FALSE]),
sapply(assays(x), as.vector))
@mbostock
mbostock / .block
Last active October 10, 2019 18:06
Progress Events
license: gpl-3.0
redirect: https://observablehq.com/@mbostock/fetch-progress
@coolaj86
coolaj86 / how-to-publish-to-npm.md
Last active April 2, 2024 20:18
How to publish packages to NPM

Getting Started with NPM (as a developer)

As easy as 1, 2, 3!

Updated:

  • Aug, 08, 2022 update config docs for npm 8+
  • Jul 27, 2021 add private scopes
  • Jul 22, 2021 add dist tags
  • Jun 20, 2021 update for --access=public
  • Sep 07, 2020 update docs for npm version
@endolith
endolith / peakdet.m
Last active February 14, 2024 21:27
Peak detection in Python [Eli Billauer]
function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
% [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
% maxima and minima ("peaks") in the vector V.
% MAXTAB and MINTAB consists of two columns. Column 1
% contains indices in V, and column 2 the found values.
%
% With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
% in MAXTAB and MINTAB are replaced with the corresponding
% X-values.