strings
> >
> > Also how do i use disk based hashes for multidimensional hashes such as
> > below
> >
> > #!/usr/bin/python
> >
> > dict={}
> > dict['key1'] = {}
> > dict[('key1')][('key2')] = 'value'
>
ntation about it. Is the module used widely ?
> >
> > Below is how i am using the module
> >
> > bdict = BeeDict('/tmp/beedict')
> >
> > bdict[1] = 1
> > print bdict.keys()
> >
> > bdict.commit()
> > bdict.close()
> >
> > bdi
ntation about it. Is the module used widely ?
Below is how i am using the module
bdict = BeeDict('/tmp/beedict')
bdict[1] = 1
print bdict.keys()
bdict.commit()
bdict.close()
bdict1 = BeeDict('/tmp/beedict')
print bdict1.keys()
print bdict1.values()
Would it be that using disk
n/python
>
> dict={}
> dict['key1'] = {}
> dict[('key1')][('key2')] = 'value'
>
> key1=dict['key1']
> print key1['key2']
>
> I have read of mxBeeDict but was unable to get it work properly. I am
> not sure if it supp
x27;/tmp/beedict')
bdict[1] = 1
print bdict.keys()
bdict.commit()
bdict.close()
bdict1 = BeeDict('/tmp/beedict')
print bdict1.keys()
print bdict1.values()
Would it be that using disk based dictionaries once opened are as fast
as in memory dictionaries ?
Thanks in advance,
Best R
