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Why is TypedReference behind the scenes? It's so fast and safe… almost magical!
...for a conforming implementation of the CLI/C# and is documented in ECMA TR/84. (In fact, FieldInfo itself is part of the Reflection library and that's not included in CLI Kernel profile either).
As soon as you use a method outside BCL, you are giving up a bit of portability (and this is becoming inc...
How to explain callbacks in plain english? How are they different from calling one function from ano
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84
How to explain callbacks in plain English?
In plain English, a callback function is like ...
Difference between CouchDB and Couchbase
...5
rsprsp
84.9k1717 gold badges162162 silver badges146146 bronze badges
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How to automatically generate a stacktrace when my program crashes
... Étienne
4,14322 gold badges2424 silver badges4848 bronze badges
answered Dec 18 '09 at 0:05
jschmierjschmier
14k66 gold badg...
How to generate random SHA1 hash to use as ID in node.js?
... of hex.
Using 20 bytes, we have 256^20 or 1,461,501,637,330,902,918,203,684,832,716,283,019,655,932,542,976 unique output values. This is identical to SHA1's 160-bit (20-byte) possible outputs.
Knowing this, it's not really meaningful for us to shasum our random bytes. It's like rolling a die twi...
How to calculate moving average using NumPy?
...iB
numpy.cumsum, edge handling :
peak memory: 518.14 MiB, increment: 228.84 MiB
Pandas rolling average :
peak memory: 449.34 MiB, increment: 160.02 MiB
bottleneck.move_mean :
peak memory: 374.17 MiB, increment: 75.54 MiB
Numpy array rolling :
peak memory: 661.29 MiB, increment: 362.65 MiB
N...
How do I merge two dictionaries in a single expression in Python (taking union of dictionaries)?
...n Python 3.9.0a4 or greater (final release date approx October 2020): PEP-584, discussed here, was implemented to further simplify this:
z = x | y # NOTE: 3.9+ ONLY
Explanation
Say you have two dictionaries and you want to merge them into a new dict without altering the original dictiona...
How to select rows from a DataFrame based on column values?
...
%timeit mask = df['A'].values == 'foo'
%timeit mask = df['A'] == 'foo'
5.84 µs ± 195 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
166 µs ± 4.45 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
Evaluating the mask with the numpy array is ~ 30 times faster. This is...
cpuid汇编指令 - C/C++ - 清泛网 - 专注C/C++及内核技术
...sociative, sectored cache, 64-byte line size
3Dh 2nd-level cache: 384-KB, 6-way set associative, sectored cache, 64-byte line size
3Eh 2nd-level cache: 512-KB, 4-way set associative, sectored cache, 64-byte line size
40h No 2nd-level cache or, if processor contains a valid 2n...
Inline labels in Matplotlib
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84
Update: User cphyc has kindly created a Github repository for the code in this answer (see here...