- What do you like best about working there?
- What do you like least?
- How would you describe this company's culture? engineering culture?
- What causes the most conflict among employees here?
- What would you change if you could?
- How has the company changed in the past five years? How do you think it will change in the next five?
- How long has the longest serving team member been there?
- What's the average or median tenure?
#!/bin/bash | |
gdb -p "$1" -batch -ex 'set {short}$rip = 0x050f' -ex 'set $rax=231' -ex 'set $rdi=0' -ex 'cont' |
There are lots of cases that you can improve. The examples use nullable reference types, but only the WhenNotNull
example requires it.
Consider adopting the new property pattern, wherever you use IsNullOrEmpty
.
string? hello = "hello world";
#CHECK THE PATH ON LINE 2 and the FEED on LINE 3 | |
cd "C:\users\scott\Downloads" | |
$a = ([xml](new-object net.webclient).downloadstring("https://channel9.msdn.com/Series/CSharp-101/feed/mp4")) | |
$a.rss.channel.item | foreach{ | |
$url = New-Object System.Uri($_.enclosure.url) | |
$file = $url.Segments[-1] | |
$file | |
if (!(test-path $file)) { | |
(New-Object System.Net.WebClient).DownloadFile($url, $file) | |
} |
#!/bin/bash | |
APP_NAME=$1 | |
CMD=$2 | |
task_id=$(cf run-task $APP_NAME "${CMD}" | grep "task id:" | awk '{print $3}') | |
task_name=$(cf tasks $APP_NAME | grep "^$task_id " | awk '{print $2}') | |
task_status=$(cf tasks $APP_NAME | grep "^$task_id " | awk '{print $3}') |
Magic numbers are the first bits of a file which uniquely identify the type of file. This makes programming easier because complicated file structures need not be searched in order to identify the file type.
For example, a jpeg file starts with ffd8 ffe0 0010 4a46 4946 0001 0101 0047 ......JFIF.....G ffd8 shows that it's a JPEG file, and ffe0 identify a JFIF type structure. There is an ascii encoding of "JFIF" which comes after a length code, but that is not necessary in order to identify the file. The first 4 bytes do that uniquely.
This gives an ongoing list of file-type magic numbers.
If you import live data into Google Docs spreadsheets using the importdata function and you want to force a refresh at a certain interval, but you also want to ensure that some cache-busting goes on, append a querystring that's the epoch time value that the refresh occurs, so for a sheet that should grab new data every hour you could force an update like this:
importData("http://example.com/data.csv?" & hour(googleclock()) & ")")
But the url requested looks like this: http://example.com/data.csv?11
if the refresh happened at 11am. The next day at 11, the url will be the same, so there's a chance you may get cached data. To get around this, use an epoch time-based refresh. The formula:
=((date(year(googleclock()),month(googleclock()),day(googleclock())) & " " & time(hour(googleclock()), 0, 0)) - DATE( 1970;1;1))*86400
gives you the epoch timestamp for the time at the current hour. If you wanted the timest
// Built with IMPACT - impactjs.org | |
(function (window) { | |
"use strict"; | |
Number.prototype.map = function (istart, istop, ostart, ostop) { | |
return ostart + (ostop - ostart) * ((this - istart) / (istop - istart)); | |
}; | |
Number.prototype.limit = function (min, max) { | |
return Math.min(max, Math.max(min, this)); | |
}; | |
Number.prototype.round = function (precision) { |