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What Computer Science concepts should I know? [closed]
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Systems programming
Understands the entire programming stack, hardware (CPU + Memory + Cache + Interrupts + microcode), binary code, assembly, static and dynamic linking, compilation, interpretation, JIT compilation, garbage collection, heap, stack, memory addressing…
Source Code Version Contr...
Elegant way to invert a map in Scala
...what you want, but if you aren't careful it can consume lots of memory and CPU. To force it into a map, you can do m.groupBy(_._2).mapVaues(_.keys).map(identity), or you could replace the call to .mapValues(_.keys) with .map { case (k, v) => k -> v.keys }.
– Mark T.
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Exclude a sub-directory using find
...example but find is still iterating into the directory structure and using cpu cycles to iterate over all those directories/files. to prevent find from iterating over those directories/files (maybe there are millions of files there) then you need to use -prune (the -prune option is difficult to use ...
Sharing a result queue among several processes
...iprocessing import Pool
def busy_foo(i):
"""Dummy function simulating cpu-bound work."""
for _ in range(int(10e6)): # do stuff
pass
return i
if __name__ == '__main__':
with Pool(4) as pool:
print(pool._outqueue) # DEMO
results = [pool.apply_async(busy_foo...
你以为发传单真的这么简单吗?（提升成功率干货） - 更多技术 - 清泛网 - 专...
...的，时而吆喝、时而蹿到你面前，俨然游戏关主。
那么问题来了：面对传单夹击，到底要肿么办？
道德帝一定会说：接一下传单又不会死！人家发传单那么辛苦>>>
曾经姐也秉着自以为体贴的心态，一路上来者不拒接下成沓广...
How do I split a string so I can access item x?
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This works but allocates a lot of memory and wastes CPU.
– jjxtra
May 26 '15 at 16:56
2
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Redis is single-threaded, then how does it do concurrent I/O?
...cient storage engine like Redis is very often the network, well before the CPU. Isolated event loops (which require no synchronization) are therefore seen as a good design to build efficient, scalable, servers.
The fact that Redis operations are atomic is simply a consequence of the single-threaded...
Maximum number of threads per process in Linux?
...work to do is going to slow you down as they're fighting for the available CPU time)
What are you doing where this limit is even relevant?
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Pandas read_csv low_memory and dtype options
...loading (but none after loading is complete) and theoretically saving some cpu cycles (which you won't notice since disk I/O will be the bottleneck.
– firelynx
Sep 1 '16 at 11:22
5...
MySQL maximum memory usage
...meout = 100
for a server with the following specifications:
Dell Server
CPU cores: Two
Processor(s): 1x Dual Xeon
Clock Speed: >= 2.33GHz
RAM: 2 GBytes
Disks: 1×250 GB SATA
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