katef

#!/usr/bin/awk -f

# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
# My copy here is written in awk instead of C, has no compelling benefit.
# Public domain. @thingskatedid

# Run as awk -v x=xyz ... or env variables for stuff?
# Assumptions: the data is evenly spaced along the x-axis

# TODO: moving average

samuelsmal

Steps

1. connect kobo to your device
2. open a file browser and navigate to the mounted kobo folder
3. navigate to the hidden folder .kobo/Kobo
4. open the file Kobo eReader.conf
5. navigate to the section [FeatureSettings], if it doesn't exist, create it.
6. add the line ExportHighlights=true and save
7. disconnect the device
8. now you can long press on a book and export the note file into a .txt file which will be saved alongside your books. to get it connect your ereader.

autermann

def wrap: "(\(.))";
def type(t): t + wrap;
def geom1: map(tostring) | join(" ");
def geom2: map(geom1) | join(",");
def geom3: map(geom2 | wrap) | join(",");
def geom4: map(geom3 | wrap) | join(",");
def wkt:
  if .type == "Point" then 
    .coordinates | geom1 | type("POINT")
  elif .type == "MultiPoint" then 

x43x61x69

# You can place this into '.bash_profile' to make it more accessible.

# sslstatus google.com:443

sslstatus()
{
    echo
    a=(${1//:/ })
    PORT=443
    if [ "${#a[@]}" -ne 2 ]; then

angelo-v

# will not work in all cases, see https://gist.github.com/angelo-v/e0208a18d455e2e6ea3c40ad637aac53#gistcomment-3439904

function jwt-decode() {
  sed 's/\./\n/g' <<< $(cut -d. -f1,2 <<< $1) | base64 --decode | jq
}

JWT=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiYWRtaW4iOnRydWV9.TJVA95OrM7E2cBab30RMHrHDcEfxjoYZgeFONFh7HgQ

jwt-decode $JWT

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

lrhache

On a recent project, I ran into an issue with Python Selenium webdriver. There's no easy way to open a new tab, grab whatever you need and return to original window opener.

Here's a couple people who ran into the same complication:

• http://stackoverflow.com/questions/17547473/how-to-open-a-new-tab-using-selenium-webdriver
• http://stackoverflow.com/questions/6421988/webdriver-open-new-tab/9122450#9122450
• https://groups.google.com/forum/#!topic/selenium-users/kah4iEPRopc
• ... and many many more.

So, after many minutes (read about an hour) of searching, I decided to do find a quick solution to this problem.

hanksudo

前端工程師面試問題集

@版本 2.0.0

譯注：此翻譯版，主要給不能流利的讀英文的人看，相關專有名詞還是保留原文。翻譯不好地方請協助pull request.

此repository包含了一些前端開發的面試問題，來審查一個有潛力的面試者。這並不是建議你對同一個面試者問上所有的問 (那會花費好幾小時)。從列表中挑幾個題目，應該就夠幫助你審查面試者是否擁有你需要的技能。

Rebecca Murphey 的 Baseline For Front-End Developers 也是一篇很棒且值得讀的文章在你開始面試之前。

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD