You can read in detail about Python memory … It is very simple: 1. cc = np.array (np.fromiter (c, dtype=np.float64, count=d)) Finally, a programmer needs to take care of releasing memory he has used. It specifies the generation of the objects to collect using the gc.collect () method. memory Memory Allocation Heap memory is not related to heap data structure. Contribute to ChanTsune/list-reserve development by creating an account on GitHub. Python’s memory allocation and deallocation method is automatic. Sets are the unordered collection of data types in Python, which are mutable and iterable. This article lists a few methods that can be used for memory allocation. Memory Management in Python - AskPython >>> l.append (1) 03. For example, if we profile the memory usage for this snippet of code: import numpy as np arr = np.zeros( (1000000,), dtype=np.uint64) for i in range(1000000): arr[i] = i. Internally, string interning is maintained by a global dictionary where strings are used as keys. Python List Here’s the output of Fil for our example allocation of 3GB: Peak Tracked Memory Usage (3175.0 MiB) Made with the Fil memory profiler. ls = [] takes 72 bytes