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I have a Python code that processes 1 million rows (3000 bytes) and loads into Oracle database..
The code does lot of edits on many fields before it loads into a database...The code is completely written in Python and it takes lot of processing time...
I want to know if we can speed up the process using Cython implementation...
If so, how can I convert my existing Python code to Cython...
What all the features supported in Cython and is it reliable to use?
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Let's say I have a dataset which contains lots of inputfilename and outputfilename. How should I go ahead if I want to make a machine learning model for this, so that I later on can inject a inputfilename and get a suggestion for outputfilename?
What libraries should I use? Any examples available?
Thanks!
I've tried googling but find no good comparable examples.
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I was wondering if there is a way to incorporate pp (Parallel Python) with django. This would be great because I have multiple computers and I want to use them to better handle the requests.
paralel python is for litle bit different tasks, and for this purposes it is better to use nginx as loadbalancer.
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I would like to use Python for my project but I need to distribute the computation on a set of resources.
You can try with pyCOMPSs, which is the python version of COMP superscalar.
More info here
With this programming model you define which methods are candidate to be executed remotely defining the direction of the method parameters (IN OUT or INOUT). Then the main code is programmed in a sequential fashion and the runtime analyses dependencies between these methods detecting which can be executed in parallel. The runtime also spawn the exectution transparently to the remote hosts and do all data transfers.
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I wonder if there's a way to convert pcap packets to byte streams that are usable in C or Python? That would be the best if the conversion can also be done in C or Python.
What I want to do is to regenerate the packets to do some testings, and due to the framework limitations, it can only be done in C/Python. Thanks a lot.
I have not used this tool so I cant comment on how good it is, but a quick google search lead me to http://src.carnivore.it/streams/about which seems to have the pipe and dump function thats seems to do what you want.
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I was wondering if there is a proper way to periodically check an api for updated data. I'm looking for a more efficient solution than a while loop with a delay timer.
Are there any standard headers that can be checked to see if content was updated (in order to skip comparing previous results to the new ones?)
Additional notes
I using python at the moment but this is a broad question regarding all programming languages.
You probably want to look at the Conditional Requests spec and the Caching spec.