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Python base64 data decode
I have the following piece of base64 encoded data, and I want to use python base64 module to extract information from it. It seems that module does not work. Can anyone tell me how?
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Maximum length of a table name in MySQL
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64 characters according to this.
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Eclipse reported “Failed to load JNI shared library” [duplicate]
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First, ensure that your version of Eclipse and JDK match, either both 64-bit or both 32-bit (you can't mix-and-match 32-bit with 64-bit).
Second, the -vm argument in eclipse.ini should point to the java executable. See
http://wiki.eclipse.org/Eclipse.ini for examples.
If you're unsure of wha...
The application was unable to start correctly (0xc000007b)
... Which is a good indication that the 32-bit app tried to load a 64-bit DLL.
– Remy Lebeau
May 8 '12 at 20:18
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“The 'Microsoft.ACE.OLEDB.12.0' provider is not registered on the local machine” Error in importing
I have a 64 bit windows 7 and SQLServer 2008 R2 (64 bit)
6 Answers
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Virtual Memory Usage from Java under Linux, too much memory used
...bytes! Why does it need that?" Well, here's a way to make Hello World on a 64-bit JVM claim to take over 4 gigabytes ... at least by one form of measurement.
java -Xms1024m -Xmx4096m com.example.Hello
Different Ways to Measure Memory
On Linux, the top command gives you several different numbers...
Clang vs GCC for my Linux Development project
... may not be as well supported (FreeBSD 10 for example still use GCC4.x for ARM), gcc-mingw for example is available on Linux... (YMMV).
Some IDE's don't yet support parsing Clangs output (QtCreator for example *****). EDIT: QtCreator now supports Clang's output
Some aspects of GCC are better documen...
Change column type from string to float in Pandas
...g to float values
0 8.0
1 6.0
2 7.5
3 3.0
4 0.9
dtype: float64
As you can see, a new Series is returned. Remember to assign this output to a variable or column name to continue using it:
# convert Series
my_series = pd.to_numeric(my_series)
# convert column "a" of a DataFrame
df["a"...
NumPy or Pandas: Keeping array type as integer while having a NaN value
...ferred way to keep the data type of a numpy array fixed as int (or int64 or whatever), while still having an element inside listed as numpy.NaN ?
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How to printf uint64_t? Fails with: “spurious trailing ‘%’ in format”
I wrote a very simple test code of printf uint64_t:
3 Answers
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