How can I explicitly free memory in Python?
I wrote a Python program that acts on a large input file to create a few million objects representing triangles. The algorithm is:
memory
How do I profile memory usage in Python?
I’ve recently become interested in algorithms and have begun exploring them by writing a naive implementation and then optimizing it in various ways.
Is it possible to dereference variable id’s?
Can you dereference a variable id retrieved from the id function in Python? For example:
when does Python allocate new memory for identical strings?
Two Python strings with the same characters, a == b,
may share memory, id(a) == id(b),
or may be in memory twice, id(a) != id(b).
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What is the difference between contiguous and non-contiguous arrays?
In the numpy manual about the reshape() function, it says
Python 32-bit memory limits on 64bit windows
I’m getting a memory issue I can’t seem to understand.
Python out of memory on large CSV file (numpy)
I have a 3GB CSV file that I try to read with python, I need the median column wise.
Memory errors and list limits?
I need to produce large and big (very) matrices (Markov chains) for scientific purposes. I perform calculus that I put in a list of 20301 elements (=one row of my matrix). I need all those data in memory to proceed next Markov step but i can store them elsewhere (eg file) if needed even if it will slow my Markov chain walk-through. My computer (scientific lab): Bi-xenon 6 cores/12threads each, 12GB memory, OS: win64
Does Python have a stack/heap and how is memory managed?
How are variables and memory managed in Python? Does it have a stack and a heap and what algorithm is used to manage memory? Given this knowledge are there any recommendations on memory management for large number/data crunching?
In-memory size of a Python structure
Is there a reference for the memory size of Python data stucture on 32- and 64-bit platforms?