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  • How to read a file byte by byte in Python?

    - by zaplec
    Hi, I'm trying to read a file byte by byte, but I'm not sure how to do that. I'm trying to do it like that: file = open(filename, 'rb') while 1: byte = file.read(8) # Do something... So does that make the variable byte to contain 8 next bits at the beginning of every loop? It doesn't matter what those bytes really are. The only thing that matters is that I need to read a file in 8-bit stacks.

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  • What are good Python and/or Django deployment solutions?

    - by e-satis
    For now I use some mix between virtual_env, pip and Fabric. This allows to: install required libs; generate dynamic content; isolate installation; push everything through ssh. It works well, I just want to know if there are other tools around. The only problem I could think of is that it's a lot of to set up every time. It doesn't solve database / media files migration issues either, but maybe I should just open another question for this specific subject. Eventually, I don't know how to automatize the server setup. I'd love to have a tool to let me configure Apache/Lighttp/Cherokee and MySQL automatically. Related : How django projects can be deployed with minimal installation works?

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  • how to show all method and data when the object not has "__iter__" function in python..

    - by zjm1126
    i find a way : (1):the dir(object) is : a="['__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__doc__', '__getattribute__', '__getitem__', '__hash__', '__init__', '__iter__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__str__', '__weakref__', '_errors', '_fields', '_prefix', '_unbound_fields', 'confirm', 'data', 'email', 'errors', 'password', 'populate_obj', 'process', 'username', 'validate']" (2): b=eval(a) (3)and it became a list of all method : ['__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__doc__', '__getattribute__', '__getitem__', '__hash__', '__init__', '__iter__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__str__', '__weakref__', '_errors', '_fields', '_prefix', '_unbound_fields', 'confirm', 'data', 'email', 'errors', 'password', 'populate_obj', 'process', 'username', 'validate'] (3)then show the object's method,and all code is : s='' a=eval(str(dir(object))) for i in a: s+=str(i)+':'+str(object[i]) print s but it show error : KeyError: '__class__' so how to make my code running . thanks

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  • How do I use timezones with a datetime object in python?

    - by jidar
    How do I properly represent a different timezone in my timezone? The below example only works because I know that EDT is one hour ahead of me, so I can uncomment the subtraction of myTimeZone() import datetime, re from datetime import tzinfo class myTimeZone(tzinfo): """docstring for myTimeZone""" def utfoffset(self, dt): return timedelta(hours=1) def myDateHandler(aDateString): """u'Sat, 6 Sep 2008 21:16:33 EDT'""" _my_date_pattern = re.compile(r'\w+\,\s+(\d+)\s+(\w+)\s+(\d+)\s+(\d+)\:(\d+)\:(\d+)') day, month, year, hour, minute, second = _my_date_pattern.search(aDateString).groups() month = [ 'JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC' ].index(month.upper()) + 1 dt = datetime.datetime( int(year), int(month), int(day), int(hour), int(minute), int(second) ) # dt = dt - datetime.timedelta(hours=1) # dt = dt - dt.tzinfo.utfoffset(myTimeZone()) return (dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second, 0, 0, 0) def main(): print myDateHandler("Sat, 6 Sep 2008 21:16:33 EDT") if __name__ == '__main__': main()

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  • [Python] How can I speed up unpickling large objects if I have plenty of RAM?

    - by conradlee
    It's taking me up to an hour to read a 1-gigabyte NetworkX graph data structure using cPickle (its 1-GB when stored on disk as a binary pickle file). Note that the file quickly loads into memory. In other words, if I run: import cPickle as pickle f = open("bigNetworkXGraph.pickle","rb") binary_data = f.read() # This part doesn't take long graph = pickle.loads(binary_data) # This takes ages How can I speed this last operation up? Note that I have tried pickling the data both in using both binary protocols (1 and 2), and it doesn't seem to make much difference which protocol I use. Also note that although I am using the "loads" (meaning "load string") function above, it is loading binary data, not ascii-data. I have 128gb of RAM on the system I'm using, so I'm hoping that somebody will tell me how to increase some read buffer buried in the pickle implementation.

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  • How do i program a simple IRC bot in python?

    - by Jake
    Hi every one. I need help writing a basic IRC bot that just connects to a channel.. is anyone able to explain me this? I have managed to get it to connect to the IRC server but i am unable to join a channel and log on. The code i have thus far is: import sockethost = 'irc.freenode.org' port = 6667 join_sock = socket.socket() join_sock.connect((host, port)) <code here> Any help would be greatly appreciated.

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  • What is a faster way of merging the values of this Python structure into a single dictionary?

    - by jcoon
    I've refactored how the merged-dictionary (all_classes) below is created, but I'm wondering if it can be more efficient. I have a dictionary of dictionaries, like this: groups_and_classes = {'group_1': {'class_A': [1, 2, 3], 'class_B': [1, 3, 5, 7], 'class_c': [1, 2], # ...many more items like this }, 'group_2': {'class_A': [11, 12, 13], 'class_C': [5, 6, 7, 8, 9] }, # ...and many more items like this } A function creates a new object from groups_and_classes like this (the function to create this is called often): all_classes = {'class_A': [1, 2, 3, 11, 12, 13], 'class_B': [1, 3, 5, 7, 9], 'class_C': [1, 2, 5, 6, 7, 8, 9] } Right now, there is a loop that does this: all_classes = {} for group in groups_and_classes.values(): for c, vals in group.iteritems(): for v in vals: if all_classes.has_key(c): if v not in all_classes[c]: all_classes[c].append(v) else: all_classes[c] = [v] So far, I changed the code to use a set instead of a list since the order of the list doesn't matter and the values need to be unique: all_classes = {} for group in groups_and_classes.values(): for c, vals in group.iteritems(): try: all_classes[c].update(set(vals)) except KeyError: all_classes[c] = set(vals) This is a little nicer, and I didn't have to convert the sets to lists because of how all_classes is used in the code. Question: Is there a more efficient way of creating all_classes (aside from building it at the same time groups_and_classes is built, and changing everywhere this function is called)?

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  • How do I watch a file for changes using Python?

    - by Jon Cage
    I have a log file being written by another process which I want to watch for changes. Each time a change occurrs I'd like to read the new data in to do some processing on it. What's the best way to do this? I was hoping there'd be some sort of hook from the PyWin32 library. I've found the win32file.FindNextChangeNotification function but have no idea how to ask it to watch a specific file. If anyone's done anything like this I'd be really grateful to hear how... [Edit] I should have mentioned that I was after a solution that doesn't require polling. [Edit] Curses! It seems this doesn't work over a mapped network drive. I'm guessing windows doesn't 'hear' any updates to the file the way it does on a local disk.

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  • Python: Get items at depth? (set library?)

    - by Mark
    I have a nested list something like this: PLACES = ( ('CA', 'Canada', ( ('AB', 'Alberta'), ('BC', 'British Columbia' ( ('van', 'Vancouver'), ), ... )), ('US', 'United States', ( ('AL', 'Alabama'), ('AK', 'Alaska'), ... I need to retrieve some data out of it. If depth is 0 I need to retrieve all the countries (and their codes), if depth == 1, I need to retrieve all the states/provinces, if depth == 2 I need to retrieve all the cities... and so forth. Is there some set library for doing stuff like this? Or can someone point me in the right direction? I started coding up a solution only to realize it wouldn't work for levels deeper than 1 because you have to go in and out of each list...

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  • Python: How can I use Twisted as the transport for SUDS?

    - by jathanism
    I have a project that is based on Twisted used to communicate with network devices and I am adding support for a new vendor (Citrix NetScaler) whose API is SOAP. Unfortunately the support for SOAP in Twisted still relies on SOAPpy, which is badly out of date. In fact as of this question (I just checked), twisted.web.soap itself hasn't even been updated in 21 months! I would like to ask if anyone has any experience they would be willing to share with utilizing Twisted's superb asynchronous transport functionality with SUDS. It seems like plugging in a custom Twisted transport would be a natural fit in SUDS' Client.options.transport, I'm just having a hard time wrapping my head around it. I did come up with a way to call the SOAP method with SUDS asynchronously by utilizing twisted.internet.threads.deferToThread(), but this feels like a hack to me. Here is an example of what I've done, to give you an idea: # netscaler is a module I wrote using suds to interface with NetScaler SOAP # Source: http://bitbucket.org/jathanism/netscaler-api/src import netscaler import os import sys from twisted.internet import reactor, defer, threads # netscaler.API is the class that sets up the suds.client.Client object host = 'netscaler.local' username = password = 'nsroot' wsdl_url = 'file://' + os.path.join(os.getcwd(), 'NSUserAdmin.wsdl') api = netscaler.API(host, username=username, password=password, wsdl_url=wsdl_url) results = [] errors = [] def handleResult(result): print '\tgot result: %s' % (result,) results.append(result) def handleError(err): sys.stderr.write('\tgot failure: %s' % (err,)) errors.append(err) # this converts the api.login() call to a Twisted thread. # api.login() should return True and is is equivalent to: # api.service.login(username=self.username, password=self.password) deferred = threads.deferToThread(api.login) deferred.addCallbacks(handleResult, handleError) reactor.run() This works as expected and defers return of the api.login() call until it is complete, instead of blocking. But as I said, it doesn't feel right. Thanks in advance for any help, guidance, feedback, criticism, insults, or total solutions.

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  • How do I get user input to refer to a variable in Python?

    - by somefreakingguy
    I would like to get user input to refer to some list in my code. I think it's called namespace? So, what would I have to do to this code for me to print whatever the user inputs, supposing they input 'list1' or 'list2'? list1 = ['cat', 'dog', 'juice'] list2 = ['skunk', 'bats', 'pogo stick'] x = raw_input('which list would you like me to print?') I plan to have many such lists, so a series of if...then statements seems unruly.

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  • Set a script to automatically detect character encoding in a plain-text-file in Python?

    - by Haidon
    I've set up a script that basically does a large-scale find-and-replace on a plain text document. At the moment it works fine with ASCII, UTF-8, and UTF-16 (and possibly others, but I've only tested these three) encoded documents so long as the encoding is specified inside the script (the example code below specifies UTF-16). Is there a way to make the script automatically detect which of these character encodings is being used in the input file and automatically set the character encoding of the output file the same as the encoding used on the input file? findreplace = [ ('term1', 'term2'), ] inF = open(infile,'rb') s=unicode(inF.read(),'utf-16') inF.close() for couple in findreplace: outtext=s.replace(couple[0],couple[1]) s=outtext outF = open(outFile,'wb') outF.write(outtext.encode('utf-16')) outF.close() Thanks!

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  • Using Python, what's the best way to create a set of files on disk for testing?

    - by Chris R
    I'm looking for a way to create a tree of test files to unit test a packaging tool. Basically, I want to create some common file system structures -- directories, nested directories, symlinks within the selected tree, symlinks outside the tree, &c. Ideally I want to do this with as little boilerplate as possible. Of course, I could hand-write the set of files I want to see, but I'm thinking that somebody has to have automated this for a test suite somewhere. Any suggestions?

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  • How does one pre-populate a Python Formish form?

    - by Jace
    How does one pre-populate a Formish form? The obvious method as per the documentation doesn't seem right. Using one of the provided examples: import formish, schemaish structure = schemaish.Structure() structure.add( 'a', schemaish.String() ) structure.add( 'b', schemaish.Integer() ) schema = schemaish.Structure() schema.add( 'myStruct', structure ) form = formish.Form(schema, 'form') If we pass this a valid request object: form.validate(request) The output is a structure like this: {'myStruct': {'a': 'value', 'b': 0 }} However, pre-populating the form using defaults requires this: form.defaults = {'myStruct.a': 'value', 'myStruct.b': 0} The dottedish package has a DottedDict object that can convert a nested dict to a dotted dict, but this asymmetry doesn't seem right. Is there a better way to do this?

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  • How to create a complete binary tree of height 'h' using Python?

    - by Jack
    Here is the node structure class Node: def __init__(self, data): # initializes the data members self.left = None self.right = None self.parent = None self.data = data complete binary tree Definition: A binary tree in which every level, except possibly the deepest, is completely filled. At depth n, the height of the tree, all nodes must be as far left as possible. -- http://www.itl.nist.gov/div897/sqg/dads/HTML/completeBinaryTree.html I am looking for an efficient algorithm.

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  • Python - How to find a correlation between two vectors ?

    - by psihodelia
    Given two vectors X and Y I have to find their correlation, i.e. their linear dependence/independence. Both vectors have equal dimension. A resulted answer should be a floating point number from [-1.0 .. 1.0]. Example: X=[-1, 2, 0] Y=[ 4, 2, -0.3] Find y=cor(X,Y) such that y belongs to [-1.0 .. 1.0]. It should be a simple construction involving a list-comprehension. No external library is allowed. UPDATE: ok, if dot product is enough, then here is my solution: nX = 1/(sum([x*x for x in X]) ** 0.5) nY = 1/(sum([y*y for y in Y]) ** 0.5) cor = sum([(x*nX)*(y*nY) for x,y in zip(X,Y) ]) right?

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  • How to read a file byte by byte in Python and how to print a bytelist as a binary?

    - by zaplec
    Hi, I'm trying to read a file byte by byte, but I'm not sure how to do that. I'm trying to do it like that: file = open(filename, 'rb') while 1: byte = file.read(8) # Do something... So does that make the variable byte to contain 8 next bits at the beginning of every loop? It doesn't matter what those bytes really are. The only thing that matters is that I need to read a file in 8-bit stacks. EDIT: Also I collect those bytes in a list and I would like to print them so that they don't print out as ASCII characters, but as raw bytes i.e. when I print that bytelist it gives the result as ['10010101', '00011100', .... ]

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