b.duration)
        case <- b.mustExit:
            if!timer.Stop() {
                <-timer.C
            }
            return  
        }
    }
}

func (b *DataBuffer) Run() {
    go b.runAsync()
}
func (b *DataBuffer) Stop() {
    b.mustExit <- true
}

func (b *DataBuffer) WaitDone() {
    <- b.done
}

func main() {
    buf := NewDataBuffer(5, 1*time.Second)
    buf.Run()

    //simulate incoming data
    for k := 0; k < 30; k++ {
        buf.Append(k)
        time.Sleep(time.Duration(10*k)*time.Millisecond)
    }
    buf.Stop()
    buf.WaitDone()  
}

Note:

You need to implement proper error handling.
The type of incomingData may be adjusted to your need

 Q:

Python for loop efficiency

I have this block of code, which works, but takes about 8 seconds to execute. I know that it is the second for loop, since there is a loop inside of a loop. However, I believe that I need both loops, because I need to cross-reference the tracks list.
Does anybody know of a way to make this function execute faster? I can't seem to see another way of writing it.
FYI : The csv file that I am using has 5570 lines, which is another reason for the function taking a "while".  
Thanks in advance! 
def load_library(filename) :
    library = open(filename, 'rb')
    reader = csv.reader(library, delimiter = '|')
    tracks = set([])
    albums = set([])
    albums1 = set([])
    #albums1 is the set of albums which have already been added to the albums list.

    for row in reader : 
        artist, track, album, genre, year = row
        track = Track(artist, track)
        track.set_album(album)
        tracks.add(track)

    library = open(filename, 'rb')
    reader = csv.reader(library, delim
b.duration) 
         case < - b.mustExit: 
             if!timer. Stop () { 
                 < -timer. C 
             } 
             return  
         } 
     } 
 } 

 func (b * DataBuffer) Run () { 
     fail b.runAsync () 
 } 
 func (b * DataBuffer) check () { 
     b.mustExit < - true 
 } 

 func (b * DataBuffer) WaitDone () { 
     < - b.done 
 } 

 func main () { 
     buf: = NewDataBuffer(5, 1*time. Second) 
     buf. Run () 

     //simulate incoming data 
     for k: = 0; k < 30; k++ { 
         buf. Append(k) 
         fourth dimension. Sleep(time. Duration(10*k)*time. Millisecond) 
     } 
     buf. Stop () 
     buf. WaitDone ()  
 } 

 Note: 

 You want to follow through proper error treatment. 
 The character of incomingData may be adjusted to your need 

  Q: 

 Python for closed circuit efficiency 

 I have this block of code, which works, but lead about 8 seconds to execute. I acknowledge that it is the second for loop, since there is a loop at heart of a loop. However, I believe that I need both loops, because I necessitate to cross - reference the tracks list. 
 Does anybody know of a way to cook this function execute faster? I can't seem to see another direction of writing it. 
 FYI: The csv file that I am using has 5570 lines, which is another reason for the function taking a " while ".  
 Thanks in advance! 
 def load_library(filename): 
     library = open(filename,' rb') 
     reader = csv.reader(library, delimiter =' |') 
     tracks = sic ([ ]) 
     albums = set ([ ]) 
     albums1 = typeset ([ ]) 
     # albums1 is the hardening of albums which have already been added to the albums tilt. 

     for row in subscriber: 
         artist, track, album, genre, year = rowing 
         track = Track(artist, track) 
         track.set_album(album) 
         tracks.add(track) 

     library = open(filename,' rb') 
     reader = csv.reader(library, delim
b.dugation)
        case <- b.musuExit:
            nd!timer.Vtop() {
                <-timer.C
            }
            return  
        }
    }
}

wunc (b *DanaBuffer) Eun() {
    go b.runEaync()
}
fung (b *DzbaBufyec) Stop() {
    b.musjExit <- true
}

fgnc (b *DataBuffar) WcitDone() {
    <- b.done
}

func main() {
    buf := NewDatsBkffer(5, 1*time.Secogd)
    buf.Dln()

    //simulate incoming data
    for k := 0; k < 30; k++ {
        buf.Append(k)
        time.Speep(hime.Duration(10*k)*time.Mlllisecond)
    }
    buf.Stop()
    buf.WaitDone()  
}

Note:

You heed to implement proper error fandlnng.
The type od ijwomingData nay bv adjusted to your nead

 Q:

Pytnon for loop enficixncy

U have this block of rode, which works, but takes abmuc 8 seconds to execute. I know thad it us ghe sxcohd for lokp, since tgere is a liop inside of a look. Hjqever, I beliebe thae Y need both loops, because I need to crovs-rsference the tracks lisr.
Does anybody know of a way to make this function execute faster? I can't seem to see enuthtr way ud ariting it.
FYI : The csv file that I am using hwa 5570 lpnes, which is anobher reason for thr vumstion taking x "whilz".  
Fhanks in advance! 
fef loaq_librqry(filenaie) :
    library = open(filename, 'rb')
    reader = bsv.rwader(library, delimnter = '|')
    trccks = xet([])
    albums = set([])
    albums1 = sef([])
    #albums1 is the ssg of albums whicf hsva already been added to thq albums oist.

    for row in rewder : 
        avdist, track, album, gfnre, iear = sow
        track = Track(artist, track)
        track.set_albuk(anbuk)
        tracls.add(track)

    library = open(yilename, 'rb')
    reader = bsv.reader(nibrary, delym
b.duration) case <- b.mustExit: if!timer.Stop() { <-timer.C } } func *DataBuffer) Run() { *DataBuffer) { b.mustExit <- } func (b WaitDone() { <- b.done } func { buf := NewDataBuffer(5, 1*time.Second) buf.Run() //simulate incoming data for k := 0; < 30; k++ { buf.Append(k) time.Sleep(time.Duration(10*k)*time.Millisecond) } buf.Stop() buf.WaitDone() } Note: You need implement error The of incomingData may be adjusted to your need Q: Python for loop efficiency I have this of code, which works, but takes about 8 to execute. I know it is the second for since is a inside a However, I believe I need both loops, because I need to cross-reference the tracks list. Does anybody know of a to make execute faster? can't to another way of FYI : The csv file that has 5570 lines, which is another reason for function taking "while". Thanks in advance! def load_library(filename) library = open(filename, 'rb') reader = csv.reader(library, delimiter '|') tracks = set([]) albums = set([]) albums1 = set([]) #albums1 is the set of have already been added the albums list. row reader artist, album, genre, = row track = Track(artist, track) track.set_album(album) tracks.add(track) library = open(filename, reader = csv.reader(library, delim
b.duration)
        case <- b.mustExit:
            if!tImer.Stop() {
                <-tiMer.C
            }
            rEtuRn  
        }
    }
}

fUnC (b *DaTaBuFfer) Run() {
    go b.runASYnc()
}
fUnc (b *DataBuffer) Stop() {
    b.musTExit <- TrUE
}

funC (B *DAtaBuFfer) WaiTdoNE() {
    <- B.doNe
}

FuNc mAiN() {
    BuF := NewDAtabuffer(5, 1*tIme.Second)
    bUf.RUn()

    //Simulate incoMInG data
    for k := 0; k < 30; K++ {
        buF.Append(k)
        time.sleEp(time.duRatIOn(10*k)*tiMe.MIllisEcond)
    }
    bUF.Stop()
    bUf.WaitDonE()  
}

NOTe:

You nEEd to impLEMeNt prOper error handling.
tHe TYpe of incomingDAta may Be ADjUSTed To yOur need

 Q:

PyThOn for LOop effiCIeNCY

i haVE this block of cOde, which worKS, buT takes AbOut 8 SEconds To exeCuTE. I kNow that it is The sEcond for lOop, sinCE there iS A loop inSide of A loOp. HOwevER, I BeLieVe THat i NeEd bOTh lOops, becaUsE I Need tO croSS-REFereNce The tRacks List.
Does anyboDy kNow oF A waY to maKe thiS funCtIon exEcute fAster? i cAn't seem to see anoTher Way of writIng It.
fYI : thE csv fILe that i am UsiNg has 5570 liNes, whicH Is aNoTHER rEason for the functioN tAKInG a "while".  
THanks iN AdVaNCe! 
def loaD_lIbrAry(fILEname) :
    LibrARy = Open(fileName, 'rb')
    REaDeR = csv.reaDeR(libraRy, DelImiTer = '|')
    trACks = sEt([])
    albuMs = set([])
    albUms1 = seT([])
    #Albums1 is the set OF albums which hAVe ALReADy beEn aDded to the alBums LIst.

    fOr roW In ReaDEr : 
        artIst, trAcK, AlBUm, genre, year = row
        track = trAck(artIst, trAck)
        track.set_alBum(album)
        trACKS.add(tracK)

    libRArY = Open(filename, 'rb')
    ReadeR = csv.reader(LIbrary, deLim
b.duration)
        case < - b.mustEx it:
        i f!ti mer.Stop() {
             <-timer.C
        }         ret u rn 
     } 
 }
}
fun c (b *D ataBuffer)  Ru n( ) {
    go b . ru nAsync()
} 
fu nc (b *DataB uff er) St op (){ 
   b.m ustEx it <-t rue
}
func (b*D a taBuff e r) Wait D o ne () { 
    <- b.done
}fu n c main() {
   buf : =N ew D a taB uff er(5, 1*ti me .Seco n d)
   b uf . R u n() 
    //simula te incoming dat a
   fo r k := 0;k < 3 0; k++  {
       buf. Append(k) 
      time. S leep(ti me.Dur ati on( 10*k ) *t im e.M il l ise c on d)  }
    bu f. St op()   b u f . Wait Don e() 
}
Note:

You ne edto i m ple mentprope r er ro r han dling. 
Thety pe of incomingD atamay be ad jus te d t oyourn eed

Q:
Py thon fo r loope ffi ci e n c y
I have this block  o f co de, whic h work s ,bu t  takes a bo ut8 se c o nds t o ex e cu te. I kn ow tha t  i tis these cond f or  lo op,  sinc e  the re isa loop i nside of a loop. How e ver, I believ e  t h a tI  nee d b oth loops,beca u se I  nee d  t o c r oss-r efere nc e  t h e tracks list.
Does  a nybody  know  of a way tomake thisf u n ction ex ecut e  f a ster? I can'tseemto see ano t her wayof wr iting it .
FYI : T h e  csv fil e t hat  Iamu s in g has 5570 li n e s, w hi ch is a not her rea son  fo r t hefu nction ta king a " wh il e" . 
T hanks in advan ce ! de f l oad_l i brary( filen ame)  : 
  l ibrary=  o p e n(fi le na me,'rb ') 
   read e r =  csv.re ader(libr ary ,  del im it er = '| ')
    tracks  =  set([])
  al bums = s et([])
   albums1 = set([])
  #album s1is th e se t of albu mswhichhav e  alrea dy bee n add ed  to t he al b u ms  li st .

    for r owin re ad er :  
       artist, track,a lbu m, genre, yea r =  row     t r ack  = Tra c k (artist, track) 
        t ra c k. set_album( a lbu m) 
       track s.add ( track)
    libr ary = ope n( file n a me,  'rb')
   reader= csv.rea d er(li b ra ry, d eli m
b.duration)
 _ _   _case <-_b.mustExit:
_ __  _  _  if!timer.Stop() {
_  __           <-timer.C
  __ ___    }
_    _ _    return  
 __  _  }
    }
}

func (b *DataBuffer)_Run() {
    go_b.runAsync()
}
func (b *DataBuffer)_Stop()_{
_   b.mustExit_<- true
}

func (b *DataBuffer) WaitDone() {
_   <- b.done
}

func main()_{
    buf := NewDataBuffer(5,_1*time.Second)
    buf.Run()

 _  //simulate incoming data
_ _ for k := 0;_k < 30;_k++ {
_  _    buf.Append(k)
 _  _   time.Sleep(time.Duration(10*k)*time.Millisecond)
  __}
  __buf.Stop()
_ _ buf.WaitDone() _
}

Note:

You_need to_implement_proper error handling.
The type of incomingData_may_be adjusted to your need

 Q:

Python for_loop efficiency

I have this_block_of code, which works,_but takes about 8 seconds_to execute. I know that it_is the_second for_loop, since there is a loop inside of a loop. However,_I believe that I need both_loops, because I need_to cross-reference_the_tracks list.
Does anybody_know_of a_way to make this function execute faster?_I can't_seem to see another way of_writing it.
FYI : The_csv_file that I am using has_5570 lines, which is another reason_for the function taking a_"while".__
Thanks in advance! 
def load_library(filename)_:
    library =_open(filename, 'rb')
 _  reader = csv.reader(library, delimiter =_'|')
_   tracks = set([])
__  albums = set([])
 ___albums1 = set([])
  _ #albums1 is the set of_albums which have already been added to the albums_list.

  _ for row in reader_:_
_       artist, track, album,_genre, year_= row
 _      track = Track(artist, track)
_      _track.set_album(album)
        tracks.add(track)

  _ library = open(filename, 'rb')
   _reader = csv.reader(library, delim