¡@
python Programming Glossary: ramPython Numpy Very Large Matrices http://stackoverflow.com/questions/1053928/python-numpy-very-large-matrices 1 million in some way without having several terrabytes of RAM python matrix numpy share improve this question PyTables..
Get MD5 hash of big files in Python http://stackoverflow.com/questions/1131220/get-md5-hash-of-big-files-in-python is with very big files that their sizes could exceed RAM size. How to get the MD5 hash of a file without loading the..
http://stackoverflow.com/questions/1339293/python-memory-leak-debugging more memory. Leaving it for a full day eats about 6GB of RAM and I start to swap. Following http www.lshift.net blog 2008.. I ran the program overnight and when I work up 50 8G 4G of RAM used. Pdb from pympler import muppy Pdb muppy.print_summary..
Python: How to read huge text file into memory http://stackoverflow.com/questions/1896674/python-how-to-read-huge-text-file-into-memory into memory I'm using Python 2.6 on a Mac Mini with 1GB RAM. I want to read in a huge text file ls l links.csv file links.csv.. than is needed by the file on disk. So even with 1GB of RAM I'm not able to read in the 500MB file into memory. My Python.. question There is a recipe for sorting files larger than RAM on this page though you'd have to adapt it for your case involving..
How to limit Python heap size? http://stackoverflow.com/questions/2308091/how-to-limit-python-heap-size a Python program that tries to allocate massive amounts of RAM causing the kernel to heavily swap and degrade the performance..
How to get current CPU and RAM usage in Python? http://stackoverflow.com/questions/276052/how-to-get-current-cpu-and-ram-usage-in-python to get current CPU and RAM usage in Python What's your preferred way of getting current.. preferred way of getting current system status current CPU RAM free disk space etc. in Python Bonus points for nix and Windows..
How to run django's test database only in memory? http://stackoverflow.com/questions/3096148/how-to-run-djangos-test-database-only-in-memory the system to always keep the entire test database in RAM Never touch the disk at all. Does anybody know how to configure.. entirely in memory It should be possible to configure a RAM disk and then configure the test database to store its data..
Why is printing to stdout so slow? Can it be sped up? http://stackoverflow.com/questions/3857052/why-is-printing-to-stdout-so-slow-can-it-be-sped-up is WAY faster than writing to the screen presumably an all RAM op and is effectively as fast as simply dumping to the garbage.. is WAY faster than writing to the screen presumably an all RAM op and is effectively as fast as simply dumping to the garbage..
Problem with multi threaded Python app and socket connections http://stackoverflow.com/questions/4783735/problem-with-multi-threaded-python-app-and-socket-connections with a Python app running on an Ubuntu machine with 4G of RAM. The tool will be used to audit servers we prefer to roll our..
Multivariate spline interpolation in python/scipy? http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy you want to interpolate at however. As long as have enough RAM for a single temporary copy of your input data array you'll..
SQLite Performance Benchmark — why is :memory: so slow…only 1.5X as fast as disk? http://stackoverflow.com/questions/764710/sqlite-performance-benchmark-why-is-memory-so-slow-only-1-5x-as-fast-as-d 85663 9.1423 6.7411 66047 9.1814 6.9794 11345 Shouldn't RAM be almost instant relative to disk What's going wrong here Edit..
Python equivalent of PHP's memory_get_usage()? http://stackoverflow.com/questions/897941/python-equivalent-of-phps-memory-get-usage is probably what people mean when they talk about how much RAM an application is using . It is easy to extend it to grab other..
major memory problems reading in a csv file using numpy http://stackoverflow.com/questions/10264739/major-memory-problems-reading-in-a-csv-file-using-numpy file using R via read.table and it used less than 5GB of ram which collapsed to less than 2GB after I called the garbage.. 1 num_cols np.save filename data return pandas.DataFrame data This reads in the 2.5GB file and serializes the output..
Exposing model method with Tastypie http://stackoverflow.com/questions/14085865/exposing-model-method-with-tastypie 5 name models.CharField Game Name max_length 100 ram models.IntegerField RAM mb max_length 10 node models.ForeignKey.. 'method' 'start_server' 'id' self.id 'memory' self.ram 'ip' self.ip_address.address 'port' self.port 'startcmds' parsedcmds..
Working with big data in python and numpy, not enough ram, how to save partial results on disc? http://stackoverflow.com/questions/16149803/working-with-big-data-in-python-and-numpy-not-enough-ram-how-to-save-partial-r with big data in python and numpy not enough ram how to save partial results on disc I am trying to implement.. when I try to scale them to all of my data I run out of ram. Of course I do creating the matrix for pairwise distances on.. like to do this on crappy computers with low amounts of ram. Is there a feasible way for me to make this work without the..
Is it possible to map a discontiuous data on disk to an array with python? http://stackoverflow.com/questions/16515465/is-it-possible-to-map-a-discontiuous-data-on-disk-to-an-array-with-python Working with big data in python and numpy not enough ram how to save partial results on disc numpy.memmap documentation..
more efficient way to calculate distance in numpy? http://stackoverflow.com/questions/17527340/more-efficient-way-to-calculate-distance-in-numpy 10500 print numpy.max R #4176.26290975 # uses 17.5Gb ram return R def getR2 VVm VVs HHm HHs t0 time.time precomputed_flat.. 108225 10500 print numpy.max R #4176.26290975 # uses 26Gb ram return R def getR3 VVm VVs HHm HHs from numpy.core.umath_tests.. 108225 10500 print numpy.max R #4176.26290975 # uses 9 Gb ram return R def getR5 VVm VVs HHm HHs from scipy.spatial.distance..
zip() alternative for iterating through two iterables http://stackoverflow.com/questions/2323394/zip-alternative-for-iterating-through-two-iterables to iterate through these two files without using 200GB of ram python share improve this question itertools has a function..
How to get current CPU and RAM usage in Python? http://stackoverflow.com/questions/276052/how-to-get-current-cpu-and-ram-usage-in-python way of doing the same thing python system cpu status ram share improve this question The psutil library will give..
Python import X or from X import Y? (performance) http://stackoverflow.com/questions/3591962/python-import-x-or-from-x-import-y-performance least 2 methods is there any difference in performance or ram usage between from X import method1 method2 and this import..
Multivariate spline interpolation in python/scipy? http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy with prefilter False . Even if you have enough ram keeping the filtered dataset around can be a big speedup if..
Store/retrieve a data structure http://stackoverflow.com/questions/8300364/store-retrieve-a-data-structure Although I have tagged this question as python the programming language isn't the important part of the question the disk.. strategy is really the main point. python data structures ram disk io share improve this question If pickle is already..
Python out of memory on large CSV file (numpy) http://stackoverflow.com/questions/8956832/python-out-of-memory-on-large-csv-file-numpy return genfromtxt 'All.csv' delimiter ' ' File Library Frameworks Python.framework Versions 2.6 lib python2.6 site packages.. 'All.csv' delimiter ' ' File Library Frameworks Python.framework Versions 2.6 lib python2.6 site packages numpy lib npyio.py.. of memory error. I am running a 64bit MacOSX with 4GB of ram and both numpy and Python compiled in 64bit mode. How do I fix..
|