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@lancejpollard
lancejpollard / meta-tags.md
Created March 5, 2012 13:54
Complete List of HTML Meta Tags

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

<meta name="keywords" content="your, tags"/>
<meta name="description" content="150 words"/>
<meta name="subject" content="your website's subject">
<meta name="copyright"content="company name">
<meta name="language" content="ES">
@mbostock
mbostock / .block
Last active March 5, 2024 18:02
Brush & Zoom
license: gpl-3.0
redirect: https://observablehq.com/@d3/focus-context
@misanuk
misanuk / index.html
Last active December 26, 2022 13:27
D3: Unit Bar Chart with Brush and Zoom
<!DOCTYPE html>
<meta charset="utf-8">
<style type="text/css">
body {
font-family: avenir next, sans-serif;
font-size: 12px;
}
@nicolasdao
nicolasdao / open_source_licenses.md
Last active July 21, 2024 20:51
What you need to know to choose an open source license.
@LemoNode
LemoNode / aapl.csv
Last active December 26, 2022 13:30
Line chart with zoom
Date Open High Low Close Volume Adj Close
2008-10-14 116.26 116.40 103.14 104.08 70749800 104.08
2008-10-13 104.55 110.53 101.02 110.26 54967000 110.26
2008-10-10 85.70 100.00 85.00 96.80 79260700 96.80
2008-10-09 93.35 95.80 86.60 88.74 57763700 88.74
2008-10-08 85.91 96.33 85.68 89.79 78847900 89.79
2008-10-07 100.48 101.50 88.95 89.16 67099000 89.16
2008-10-06 91.96 98.78 87.54 98.14 75264900 98.14
2008-10-03 104.00 106.50 94.65 97.07 81942800 97.07
2008-10-02 108.01 108.79 100.00 100.10 57477300 100.10
@Aldhanekaa
Aldhanekaa / Java Library List.md
Last active November 5, 2020 21:44
Java Library

Library Date : Link

Doc : Link


Scanner :

import java.util.Scanner;
@sansob
sansob / aes-256-cbc-test.js
Created February 18, 2021 02:30 — forked from brettscott/aes-256-cbc-test.js
AES 256 CBC encryption between Golang and Node JS
// Node v6.9.0
//
// TEST FILE (cut down for simplicity)
// To ensure Golang encrypted string can be decrypted in NodeJS.
//
let crypto;
try {
crypto = require('crypto');
figure = plt.figure(figsize=(12,12))
cols, rows = 4,8
for batchSize, (X, y) in enumerate(train_dataloader):
# X = X.transpose()
batch = y.shape[0]
for i in range(batch):
img, label = X[i], y[i]
# print(img.shape)
img.to(device)