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Releasing memory in Python
...ted on the heap can be subject to high-water marks. This is complicated by Python's internal optimizations for allocating small objects (PyObject_Malloc) in 4 KiB pools, classed for allocation sizes at multiples of 8 bytes -- up to 256 bytes (512 bytes in 3.3). The pools themselves are in 256 KiB ar...
How to remove a key from a Python dictionary?
...t find one or the other easier to read, which is fine. Both are idiomatic Python, so choose whatever you prefer. But claiming that this answer is more complex or inefficient simply makes no sense.
– Sven Marnach
Jun 15 '17 at 18:44
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How to send an email with Python?
...r to send email. Please look at the following example (reproduced from the Python documentation). Notice that if you follow this approach, the "simple" task is indeed simple, and the more complex tasks (like attaching binary objects or sending plain/HTML multipart messages) are accomplished very rap...
How to list all functions in a Python module?
I have a python module installed on my system and I'd like to be able to see what functions/classes/methods are available in it.
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Pretty graphs and charts in Python [closed]
...hat are the available libraries for creating pretty charts and graphs in a Python application?
15 Answers
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Writing to an Excel spreadsheet
I am new to Python. I need to write some data from my program to a spreadsheet. I've searched online and there seem to be many packages available (xlwt, XlsXcessive, openpyxl). Others suggest to write to a .csv file (never used CSV and don't really understand what it is).
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How to create a temporary directory and get the path / file name in Python
how to create a temporary directory and get the path / file name in python
5 Answers
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How to get the home directory in Python?
...rms:
from os.path import expanduser
home = expanduser("~")
If you're on Python 3.5+ you can use pathlib.Path.home():
from pathlib import Path
home = str(Path.home())
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Common use-cases for pickle in Python
...it can carry on where it left off when restarted (persistence)
2) sending python data over a TCP connection in a multi-core or distributed system (marshalling)
3) storing python objects in a database
4) converting an arbitrary python object to a string so that it can be used as a dictionary key (...
python's re: return True if string contains regex pattern
...z) and want to know which is a more efficient way to do this, should I use python's 'xyz' in given_text or use re.compile(r'xyz').search(given_text) ?
– bawejakunal
May 4 '16 at 9:01
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