It really is a feature of the history of the PC. The original IBM-PC used a chip called the Real Time Clock which was battery backed up (Do you remember needing to change the batteries on these ?) These operated when the machine was powered off and kept the time. The frequency of these was … Read more
Flutter locales explained First of all, you should understand the difference between system settings and your application settings: System settings – what the system provides to your app as user preferences for your information. Application settings – what you decided (explicitly or implicitly) to be the application locale. You may allow your users to select … Read more
Hugo’s answer is mostly correct, but I’ll add a few key points: When you’re storing the customer’s time zone, do NOT store a numerical offset. As others have pointed out, the offset from UTC is only for a single point in time, and can easily change for DST and for other reasons. Instead, you should … Read more
You are getting NaN value in IE 8 and its working in Firefox because the format of the string varies with browser and operating system. For example, in IE6 for Windows XP, the string is in the following format: Tue Dec 05 16:47:20 CDT 2006 But in Firefox for Windows XP, the string is Tue … Read more
Astronomy versus Atomic clock By the original definitions the difference is that GMT (also officially known as Universal Time (UT), which may be confusing) is based on astronomical observations while UTC is based on atomic clocks. Later GMT has become to be used at least unofficially to refer to UTC, which blurs the distinction somewhat. … Read more
In C#: // Define the input values. string[] input = { “2013-11-03 00:45:00”, “2013-11-03 01:00:00”, “2013-11-03 01:15:00”, “2013-11-03 01:30:00”, “2013-11-03 01:45:00”, “2013-11-03 01:00:00”, “2013-11-03 01:15:00”, “2013-11-03 01:30:00”, “2013-11-03 01:45:00”, “2013-11-03 02:00:00”, }; // Get the time zone the input is meant to be interpreted in. TimeZoneInfo tz = TimeZoneInfo.FindSystemTimeZoneById(“Eastern Standard Time”); // Create an array … Read more
I’d do it with lubridate and plyr, rounding dates down to the nearest month to make them easier to plot: library(lubridate) df <- data.frame( date = today() + days(1:300), x = runif(300) ) df$my <- floor_date(df$date, “month”) library(plyr) ddply(df, “my”, summarise, x = mean(x))
The same as you would in .NET: $DateStr = $Date.ToString(“yyyyMMdd”) Or: $DateStr=”{0:yyyyMMdd}” -f $Date
It’s in the python docs. import datetime datetime.datetime.combine(datetime.date(2011, 1, 1), datetime.time(10, 23)) returns datetime.datetime(2011, 1, 1, 10, 23)
Probably the easiest way is: SELECT EXTRACT(epoch FROM my_interval)/3600