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Excel “External table is not in the expected format.”
...xcel 2007 file with a connection string that uses: Microsoft.Jet.OLEDB.4.0 and Extended Properties=Excel 8.0
Using the following connection string seems to fix most problems.
public static string path = @"C:\src\RedirectApplication\RedirectApplication\301s.xlsx";
public static string connStr = "Pr...
How do I find the install time and date of Windows?
...ut how can I find out (hopefully via an API/registry key) the install time and date of Windows?
19 Answers
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Make header and footer files to be included in multiple html pages
I want to create common header and footer pages that are included on several html pages.
11 Answers
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Generating random numbers in Objective-C
I'm a Java head mainly, and I want a way to generate a pseudo-random number between 0 and 74. In Java I would use the method:
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To ARC or not to ARC? What are the pros and cons? [closed]
...ge collection. It has no GC runtime overhead. The compiler inserts retains and releases in all the places you should have anyway. But it's smarter than you and can optimize out the ones that aren't actually needed (just like it can unroll loops, eliminate temporary variables, inline functions, etc.)...
How to get the system uptime in Windows? [closed]
I am using windows 7 and xp. I want to know the uptime of the system.
3 Answers
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Generate a Hash from string in Javascript
...same as hash * 31 + char but a LOT faster. It's nice because it's so fast, and 31 is a small prime. Win win there.
– corsiKa
Sep 30 '11 at 21:59
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Get type of a generic parameter in Java with reflection
... to be some reflection-magic around that I unfortunetly don't fully understand... Sorry.
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How to initialize HashSet values by construction?
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There is a shorthand that I use that is not very time efficient, but fits on a single line:
Set<String> h = new HashSet<>(Arrays.asList("a", "b"));
Again, this is not time efficient since you are constructing an array, converti...
How to smooth a curve in the right way?
...ter of the window. Finally the window is shifted forward by one data point and the process repeats. This continues until every point has been optimally adjusted relative to its neighbors. It works great even with noisy samples from non-periodic and non-linear sources.
Here is a thorough cookbook ex...