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python Programming Glossary: precisionPython: Possible to share in-memory data between 2 separate processes http://stackoverflow.com/questions/1268252/python-possible-to-share-in-memory-data-between-2-separate-processes of 128 MB of shared memory all the 16M floats in double precision IEEE representation laid end to end with a little shim on top..
http://stackoverflow.com/questions/1594985/why-do-simple-math-operations-on-floating-point-return-unexpected-inacurate-re point share improve this question Float double precision. You must remember that in binary 4.1 4 1 10. 1 10 is an infinitely..
Python float - str - float weirdness http://stackoverflow.com/questions/1778368/python-float-str-float-weirdness
how to print number with commas as thousands separators in Python 2.x http://stackoverflow.com/questions/1823058/how-to-print-number-with-commas-as-thousands-separators-in-python-2-x it can be whatever you need in terms of field width and precision settings. P.P.S. If you can't get locale to work I'd suggest..
Python JSON serialize a Decimal object http://stackoverflow.com/questions/1960516/python-json-serialize-a-decimal-object string which should look like 'x' 3.9 . I don't care about precision on the client side so a float is fine. Is there a good way to..
Decimal place issues with floats and decimal.Decimal http://stackoverflow.com/questions/286061/decimal-place-issues-with-floats-and-decimal-decimal floats and decimal.Decimal I seem to be losing a lot of precision with floats. For example I need to solve a matrix 4.0x 2.0y..
http://stackoverflow.com/questions/406361/floating-point-limitations me. I was following this tutorial . python floating point precision floating accuracy share improve this question I think it..
python limiting floats to two decimal points http://stackoverflow.com/questions/455612/python-limiting-floats-to-two-decimal-points the way I expect . python floating point floating point precision share improve this question You are running into the old.. in a similar fashion to 125650429603636838 2 53 . Double precision numbers have 53 bits 16 digits of precision and regular floats.. 2 53 . Double precision numbers have 53 bits 16 digits of precision and regular floats have 24 bits 8 digits of precision. The floating..
How to convert a python utc datetime to a local datetime using only python standard library? http://stackoverflow.com/questions/4563272/how-to-convert-a-python-utc-datetime-to-a-local-datetime-using-only-python-stand def utc_to_local utc_dt # get integer timestamp to avoid precision lost timestamp calendar.timegm utc_dt.timetuple local_dt datetime.fromtimestamp..
Increment a python floating point value by the smallest possible amount http://stackoverflow.com/questions/6063755/increment-a-python-floating-point-value-by-the-smallest-possible-amount QA'd... import math # 'double' means IEEE 754 double precision c 'double' epsilon math.ldexp 1.0 53 # smallest double that..
int((0.1+0.7)*10) = 7 in several languages. How to prevent this? http://stackoverflow.com/questions/6439140/int0-10-710-7-in-several-languages-how-to-prevent-this might cause a riddiculous bug I'd better use arbitrary precision functions what other languages do have this bug and those who..
Python - time.clock() vs. time.time() - accuracy? http://stackoverflow.com/questions/85451/python-time-clock-vs-time-time-accuracy time as a floating point number expressed in seconds. The precision and in fact the very definition of the meaning of ``processor..
Convert a number range to another range, maintaining ratio http://stackoverflow.com/questions/929103/convert-a-number-range-to-another-range-maintaining-ratio in between should keep a relative ratio even though some precision is being lost I'd like to do this in python but even a general..
Why NumPy instead of Python lists? http://stackoverflow.com/questions/993984/why-numpy-instead-of-python-lists at least 20 MB or so while a NumPy 3D array with single precision floats in the cells would fit in 4 MB. Access in reading and.. to 16 . A NumPy array is an array of uniform values single precision numbers takes 4 bytes each double precision ones 8 bytes. Less.. values single precision numbers takes 4 bytes each double precision ones 8 bytes. Less flexible but you pay substantially for the..
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