{"id":32785,"date":"2025-10-25T23:40:51","date_gmt":"2025-10-25T20:40:51","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/?p=32785"},"modified":"2025-10-25T23:40:51","modified_gmt":"2025-10-25T20:40:51","slug":"python-3te-liste-anlayislarini-list-comprehensions-anlamak-guclu-ve-etkili-bir-yaklasim","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/python-3te-liste-anlayislarini-list-comprehensions-anlamak-guclu-ve-etkili-bir-yaklasim\/","title":{"rendered":"Python 3’te Liste Anlay\u0131\u015flar\u0131n\u0131 (List Comprehensions) Anlamak: G\u00fc\u00e7l\u00fc ve Etkili Bir Yakla\u015f\u0131m"},"content":{"rendered":"

<\/p>\n

Python 3’te Liste Anlay\u0131\u015flar\u0131n\u0131 (List Comprehensions) Anlamak: G\u00fc\u00e7l\u00fc ve Etkili Bir Yakla\u015f\u0131m<\/h2>\n

Python programlama dili, temiz, okunabilir ve verimli kod yazmay\u0131 te\u015fvik eden felsefesiyle bilinir. Bu felsefenin en g\u00fczel \u00f6rneklerinden biri de “Liste Anlay\u0131\u015flar\u0131” (List Comprehensions) olarak adland\u0131r\u0131lan g\u00fc\u00e7l\u00fc yap\u0131d\u0131r. Liste anlay\u0131\u015flar\u0131, listeleri olu\u015fturmak, d\u00f6n\u00fc\u015ft\u00fcrmek veya filtrelemek i\u00e7in k\u0131sa ve \u00f6z bir s\u00f6zdizimi sunar. Geleneksel for<\/code> d\u00f6ng\u00fclerine k\u0131yasla hem kod miktar\u0131n\u0131 azalt\u0131r hem de genellikle daha y\u00fcksek performans sunar. Bu makalede, Python 3’teki liste anlay\u0131\u015flar\u0131n\u0131n ne oldu\u011funu, nas\u0131l kullan\u0131ld\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve di\u011fer ilgili kavramlar\u0131 derinlemesine inceleyece\u011fiz.<\/p>\n

Giri\u015f: Liste Anlay\u0131\u015flar\u0131 Nedir ve Neden \u00d6nemlidir?<\/h3>\n

Python’da bir liste olu\u015fturman\u0131n en yayg\u0131n yollar\u0131ndan biri, bo\u015f bir liste tan\u0131mlay\u0131p ard\u0131ndan bir for<\/code> d\u00f6ng\u00fcs\u00fc kullanarak \u00f6\u011feleri tek tek eklemektir. \u00d6rne\u011fin, 1’den 10’a kadar olan say\u0131lar\u0131n karelerini i\u00e7eren bir liste olu\u015fturmak istedi\u011fimizde genellikle \u015f\u00f6yle bir kod yazar\u0131z:<\/p>\n

kareler = []\nfor i in range(1, 11):\n    kareler.append(i<\/em>2)\nprint(kareler)\n
\u00c7\u0131kt\u0131: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]<\/code><\/pre>\n<\/h2>\n
Bu kod par\u00e7as\u0131 tamamen do\u011fru ve anla\u015f\u0131l\u0131rd\u0131r. Ancak Python, bu t\u00fcr yayg\u0131n listeleme g\u00f6revleri i\u00e7in daha kompakt ve “Pythonic” bir yol sunar: Liste Anlay\u0131\u015flar\u0131. Ayn\u0131 i\u015flemi liste anlay\u0131\u015flar\u0131 ile yapmak sadece tek bir sat\u0131r kod gerektirir:<\/p>\n
kareler = [i<\/em>2 for i in range(1, 11)]\nprint(kareler)\n
\u00c7\u0131kt\u0131: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]<\/code><\/pre>\n<\/h2>\n
G\u00f6r\u00fcld\u00fc\u011f\u00fc gibi, liste anlay\u0131\u015f\u0131 kodu daha k\u0131sad\u0131r, daha okunabilirdir ve ne yapt\u0131\u011f\u0131n\u0131 daha a\u00e7\u0131k bir \u015fekilde ifade eder. Bu sadece bir s\u00f6zdizimi k\u0131saltmas\u0131 de\u011fil, ayn\u0131 zamanda Python’\u0131n dahili optimizasyonlar\u0131ndan yararlanarak genellikle daha h\u0131zl\u0131 \u00e7al\u0131\u015fan bir yap\u0131d\u0131r. Liste anlay\u0131\u015flar\u0131, Python’\u0131n “Zen of Python” felsefesindeki “\u00d6zel durumlar, kurallar\u0131 bozacak kadar \u00f6zel de\u011fildir” ve “Okunabilirlik \u00f6nemlidir” ilkeleriyle m\u00fckemmel bir uyum i\u00e7indedir. PEP 202 ile Python 2.0’da tan\u0131t\u0131lan bu \u00f6zellik, k\u0131sa s\u00fcrede Python geli\u015ftiricilerinin vazge\u00e7ilmez ara\u00e7lar\u0131ndan biri haline gelmi\u015ftir.<\/p>\n
Liste Anlay\u0131\u015flar\u0131n\u0131n Temel Yap\u0131s\u0131<\/h3>\n
Liste anlay\u0131\u015flar\u0131n\u0131n temel s\u00f6zdizimi olduk\u00e7a basittir ve a\u015fa\u011f\u0131daki gibidir:<\/p>\n
[ifade for \u00f6\u011fe in yinelenebilir_nesne]<\/code><\/pre>\n
Bu s\u00f6zdizimini par\u00e7alara ay\u0131ral\u0131m:<\/p>\n
*   []<\/code> (K\u00f6\u015feli Parantezler):<\/strong> Bir liste anlay\u0131\u015f\u0131 oldu\u011funu belirtir ve sonucun bir liste olaca\u011f\u0131n\u0131 g\u00f6sterir.
\n*   ifade<\/code>:<\/strong> Her bir \u00f6\u011fe i\u00e7in de\u011ferlendirilecek olan ifadedir. Bu, bir de\u011fi\u015fken, bir matematiksel i\u015flem, bir fonksiyon \u00e7a\u011fr\u0131s\u0131 veya ba\u015fka herhangi bir ge\u00e7erli Python ifadesi olabilir. Son listedeki \u00f6\u011feler bu ifadenin sonucu olacakt\u0131r.
\n*   for \u00f6\u011fe in yinelenebilir_nesne<\/code>:<\/strong> Geleneksel bir for<\/code> d\u00f6ng\u00fcs\u00fcne benzer \u015fekilde \u00e7al\u0131\u015f\u0131r. yinelenebilir_nesne<\/code> (iterable), bir liste, demet, dize, k\u00fcme, s\u00f6zl\u00fck veya range()<\/code> gibi \u00fczerinde d\u00f6ng\u00fc yap\u0131labilen herhangi bir nesne olabilir. D\u00f6ng\u00fcn\u00fcn her ad\u0131m\u0131nda, yinelenebilir_nesne<\/code>‘den bir \u00f6\u011fe al\u0131n\u0131r ve \u00f6\u011fe<\/code> de\u011fi\u015fkenine atan\u0131r.<\/p>\n
Yukar\u0131daki kareler \u00f6rne\u011fini tekrar ele al\u0131rsak:<\/p>\n
kareler = [i<\/em>2 for i in range(1, 11)]<\/code><\/pre>\n
   i<\/em>*2<\/code>: Her bir i<\/code> de\u011feri i\u00e7in hesaplanacak olan ifade<\/code>dir (yani, i<\/code>‘nin karesi).
\n*   for i in range(1, 11)<\/code>: range(1, 11)<\/code> yinelenebilir nesnesindeki her bir say\u0131 (i<\/code>) i\u00e7in d\u00f6ng\u00fc yap\u0131l\u0131r.<\/p>\n
Bu yap\u0131, “range(1, 11) i\u00e7indeki her i<\/code> i\u00e7in i<\/em>2<\/code> hesapla ve bunlar\u0131 bir liste olarak topla” \u015feklinde okunabilir.<\/p>\n
Ko\u015fullu Liste Anlay\u0131\u015flar\u0131 (Conditional List Comprehensions)<\/h3>\n
Liste anlay\u0131\u015flar\u0131n\u0131n g\u00fcc\u00fc sadece basit d\u00f6n\u00fc\u015f\u00fcmlerle s\u0131n\u0131rl\u0131 de\u011fildir; ayn\u0131 zamanda ko\u015fullu mant\u0131k eklememize de olanak tan\u0131r. \u0130ki ana \u015fekilde ko\u015ful ekleyebiliriz: for<\/code> d\u00f6ng\u00fcs\u00fcnden sonra bir if<\/code> ko\u015fulu veya ifadenin i\u00e7inde bir if-else<\/code> ko\u015fulu.<\/p>\n
if<\/code> Ko\u015fulu Ekleme (Filtreleme)<\/h4>\n
Bir if<\/code> ko\u015fulu ekleyerek, yaln\u0131zca belirli ko\u015fullar\u0131 sa\u011flayan \u00f6\u011feleri yeni listeye dahil edebiliriz. S\u00f6zdizimi \u015f\u00f6yledir:<\/p>\n
[ifade for \u00f6\u011fe in yinelenebilir_nesne if ko\u015ful]<\/code><\/pre>\n
Buradaki if ko\u015ful<\/code> k\u0131sm\u0131, yinelenebilir_nesne<\/code>‘den al\u0131nan \u00f6\u011fe<\/code> \u00fczerinde de\u011ferlendirilir. E\u011fer ko\u015ful<\/code> do\u011fru (True) ise, ifade<\/code> de\u011ferlendirilir ve sonucu yeni listeye eklenir. E\u011fer ko\u015ful<\/code> yanl\u0131\u015f (False) ise, o \u00f6\u011fe atlan\u0131r.<\/p>\n
\u00d6rnek: Sadece \u00e7ift say\u0131lar\u0131n karelerini alma<\/strong><\/p>\n
1’den 10’a kadar olan say\u0131lardan sadece \u00e7ift olanlar\u0131n karelerini almak istedi\u011fimizi varsayal\u0131m:<\/p>\n
Geleneksel y\u00f6ntem:<\/p>\n
cift_kareler = []\nfor i in range(1, 11):\n    if i % 2 == 0:\n        cift_kareler.append(i<\/em>2)\nprint(cift_kareler)\n
\u00c7\u0131kt\u0131: [4, 16, 36, 64, 100]<\/code><\/pre>\n<\/h2>\n
Liste anlay\u0131\u015f\u0131 ile:<\/p>\n
cift_kareler = [i<\/em>2 for i in range(1, 11) if i % 2 == 0]\nprint(cift_kareler)\n
\u00c7\u0131kt\u0131: [4, 16, 36, 64, 100]<\/code><\/pre>\n<\/h2>\n
Bu \u00f6rnekte, if i % 2 == 0<\/code> ko\u015fulu, sadece i<\/code>‘nin \u00e7ift oldu\u011fu durumlarda i<\/em>2<\/code> ifadesinin de\u011ferlendirilip listeye eklenmesini sa\u011flar.<\/p>\n
if-else<\/code> Ko\u015fulu Ekleme (D\u00f6n\u00fc\u015f\u00fcml\u00fc Ko\u015ful)<\/h4>\n
Bazen bir \u00f6\u011feyi filtrelemek yerine, belirli bir ko\u015fula ba\u011fl\u0131 olarak farkl\u0131 bir \u015fekilde d\u00f6n\u00fc\u015ft\u00fcrmek isteyebiliriz. Bu durumda, if-else<\/code> ko\u015fulunu ifade<\/code> k\u0131sm\u0131n\u0131n i\u00e7ine yerle\u015ftiririz. S\u00f6zdizimi \u015f\u00f6yledir:<\/p>\n
[if_do\u011fruysa_ifade if ko\u015ful else if_yanl\u0131\u015fsa_ifade for \u00f6\u011fe in yinelenebilir_nesne]<\/code><\/pre>\n
Burada if ko\u015ful else<\/code> yap\u0131s\u0131, Python’daki \u00fc\u00e7l\u00fc operat\u00f6r (ternary operator) ile ayn\u0131d\u0131r. ko\u015ful<\/code> do\u011fru ise if_do\u011fruysa_ifade<\/code> de\u011ferlendirilir, aksi takdirde if_yanl\u0131\u015fsa_ifade<\/code> de\u011ferlendirilir ve sonu\u00e7 listeye eklenir.<\/p>\n
\u00d6rnek: Say\u0131 \u00e7iftse “\u00c7ift”, tekse “Tek” yazma<\/strong><\/p>\n
1’den 5’e kadar olan say\u0131lar i\u00e7in, say\u0131n\u0131n \u00e7ift mi tek mi oldu\u011funu belirten bir liste olu\u015ftural\u0131m:<\/p>\n
Geleneksel y\u00f6ntem:<\/p>\n
tek_cift_durumu = []\nfor i in range(1, 6):\n    if i % 2 == 0:\n        tek_cift_durumu.append(\"\u00c7ift\")\n    else:\n        tek_cift_durumu.append(\"Tek\")\nprint(tek_cift_durumu)\n
\u00c7\u0131kt\u0131: ['Tek', '\u00c7ift', 'Tek', '\u00c7ift', 'Tek']<\/code><\/pre>\n<\/h2>\n
Liste anlay\u0131\u015f\u0131 ile:<\/p>\n
tek_cift_durumu = [\"\u00c7ift\" if i % 2 == 0 else \"Tek\" for i in range(1, 6)]\nprint(tek_cift_durumu)\n
\u00c7\u0131kt\u0131: ['Tek', '\u00c7ift', 'Tek', '\u00c7ift', 'Tek']<\/code><\/pre>\n<\/h2>\n
\u00d6nemli Fark:<\/strong>
\n*   [ifade for \u00f6\u011fe in yinelenebilir_nesne if ko\u015ful]<\/code>: Bu yap\u0131, filtreleme<\/strong> yapar. Ko\u015fulu sa\u011flamayan \u00f6\u011feler tamamen d\u0131\u015far\u0131da b\u0131rak\u0131l\u0131r.
\n*   [if_do\u011fruysa_ifade if ko\u015ful else if_yanl\u0131\u015fsa_ifade for \u00f6\u011fe in yinelenebilir_nesne]<\/code>: Bu yap\u0131, d\u00f6n\u00fc\u015f\u00fcm<\/strong> yapar. Her \u00f6\u011fe listeye dahil edilir, ancak ko\u015fula ba\u011fl\u0131 olarak farkl\u0131 bir de\u011fere d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr.<\/p>\n
\u0130\u00e7 \u0130\u00e7e Liste Anlay\u0131\u015flar\u0131 (Nested List Comprehensions)<\/h3>\n
T\u0131pk\u0131 i\u00e7 i\u00e7e for<\/code> d\u00f6ng\u00fcleri kullanabildi\u011fimiz gibi, liste anlay\u0131\u015flar\u0131n\u0131 da i\u00e7 i\u00e7e kullanabiliriz. Bu, \u00f6zellikle \u00e7ok boyutlu listelerle veya birden fazla yinelenebilir nesne \u00fczerinde i\u015flem yaparken kullan\u0131\u015fl\u0131d\u0131r. S\u00f6zdizimi, i\u00e7 i\u00e7e d\u00f6ng\u00fclerin s\u0131ras\u0131n\u0131 takip eder:<\/p>\n
[ifade for \u00f6\u011fe1 in yinelenebilir1 for \u00f6\u011fe2 in yinelenebilir2 ... for \u00f6\u011feN in yinelenebilirN]<\/code><\/pre>\n
En soldaki for<\/code> d\u00f6ng\u00fcs\u00fc en d\u0131\u015ftaki d\u00f6ng\u00fcd\u00fcr ve en sa\u011fdaki for<\/code> d\u00f6ng\u00fcs\u00fc en i\u00e7teki d\u00f6ng\u00fcd\u00fcr.<\/p>\n
\u00d6rnek 1: Matris Transpozu<\/strong><\/p>\n
Bir matrisin (i\u00e7 i\u00e7e listelerden olu\u015fan bir liste) transpozunu almak s\u0131k kar\u015f\u0131la\u015f\u0131lan bir g\u00f6revdir.<\/p>\n
matris = [\n    [1, 2, 3],\n    [4, 5, 6],\n    [7, 8, 9]\n]\n\n
Geleneksel y\u00f6ntem:<\/h2>\ntranspoze_matris_geleneksel = []\nfor i in range(len(matris[0])): # S\u00fctun say\u0131s\u0131 kadar d\u0131\u015f d\u00f6ng\u00fc\n    yeni_satir = []\n    for satir in matris: # Her sat\u0131r i\u00e7in i\u00e7 d\u00f6ng\u00fc\n        yeni_satir.append(satir[i])\n    transpoze_matris_geleneksel.append(yeni_satir)\nprint(transpoze_matris_geleneksel)\n
\u00c7\u0131kt\u0131: [[1, 4, 7], [2, 5, 8], [3, 6, 9]]<\/h2>\n\n
\u0130\u00e7 i\u00e7e liste anlay\u0131\u015f\u0131 ile:<\/h2>\ntranspoze_matris_lc = [[satir[i] for satir in matris] for i in range(len(matris[0]))]\nprint(transpoze_matris_lc)\n
\u00c7\u0131kt\u0131: [[1, 4, 7], [2, 5, 8], [3, 6, 9]]<\/code><\/pre>\n<\/h2>\n
Bu \u00f6rnekte, d\u0131\u015f liste anlay\u0131\u015f\u0131 for i in range(len(matris[0]))<\/code> ile s\u00fctunlar \u00fczerinde d\u00f6ng\u00fc yapar. Her bir i<\/code> (s\u00fctun indeksi) i\u00e7in, i\u00e7 liste anlay\u0131\u015f\u0131 [satir[i] for satir in matris]<\/code> her sat\u0131rdan ilgili s\u00fctun eleman\u0131n\u0131 alarak yeni bir sat\u0131r olu\u015fturur.<\/p>\n
\u00d6rnek 2: \u0130\u00e7 \u0130\u00e7e Listeleri D\u00fczle\u015ftirme (Flattening)<\/strong><\/p>\n
Bir i\u00e7 i\u00e7e listeyi tek bir listeye d\u00fczle\u015ftirmek i\u00e7in de i\u00e7 i\u00e7e liste anlay\u0131\u015flar\u0131 kullan\u0131labilir:<\/p>\n
ic_ice_liste = [[1, 2, 3], [4, 5], [6, 7, 8, 9]]\n\n
Geleneksel y\u00f6ntem:<\/h2>\nduzlestirilmis_geleneksel = []\nfor alt_liste in ic_ice_liste:\n    for eleman in alt_liste:\n        duzlestirilmis_geleneksel.append(eleman)\nprint(duzlestirilmis_geleneksel)\n
\u00c7\u0131kt\u0131: [1, 2, 3, 4, 5, 6, 7, 8, 9]<\/h2>\n\n
\u0130\u00e7 i\u00e7e liste anlay\u0131\u015f\u0131 ile:<\/h2>\nduzlestirilmis_lc = [eleman for alt_liste in ic_ice_liste for eleman in alt_liste]\nprint(duzlestirilmis_lc)\n
\u00c7\u0131kt\u0131: [1, 2, 3, 4, 5, 6, 7, 8, 9]<\/code><\/pre>\n<\/h2>\n
Bu \u00f6rnekte, for alt_liste in ic_ice_liste<\/code> d\u0131\u015f d\u00f6ng\u00fc, for eleman in alt_liste<\/code> ise i\u00e7 d\u00f6ng\u00fcd\u00fcr. Her eleman<\/code> de\u011feri do\u011frudan yeni listeye eklenir. \u0130\u00e7 i\u00e7e liste anlay\u0131\u015flar\u0131 olduk\u00e7a g\u00fc\u00e7l\u00fc olsa da, \u00e7ok fazla i\u00e7 i\u00e7e d\u00f6ng\u00fc veya karma\u015f\u0131k ko\u015fullar i\u00e7erdiklerinde okunabilirliklerini kaybedebilirler. Bu durumlarda, geleneksel for<\/code> d\u00f6ng\u00fclerine geri d\u00f6nmek daha iyi bir tercih olabilir.<\/p>\n
Liste Anlay\u0131\u015flar\u0131n\u0131n Avantajlar\u0131<\/h3>\n
Liste anlay\u0131\u015flar\u0131, Python geli\u015ftiricileri aras\u0131nda bu kadar pop\u00fcler olmas\u0131n\u0131n bir\u00e7ok nedeni vard\u0131r:<\/p>\n
K\u0131sal\u0131k ve Kod Yo\u011funlu\u011fu<\/h4>\n
Liste anlay\u0131\u015flar\u0131, birden fazla sat\u0131r s\u00fcren for<\/code> d\u00f6ng\u00fcs\u00fc ve append()<\/code> \u00e7a\u011fr\u0131s\u0131 yerine tek bir sat\u0131rda ayn\u0131 i\u015flevi yerine getirir. Bu, kod taban\u0131n\u0131 daha kompakt hale getirir ve \u00f6zellikle basit d\u00f6n\u00fc\u015f\u00fcm veya filtreleme i\u015flemleri i\u00e7in harcanan kod miktar\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.<\/p>\n
Performans<\/h4>\n
Genellikle, liste anlay\u0131\u015flar\u0131 e\u015fde\u011fer for<\/code> d\u00f6ng\u00fclerinden daha h\u0131zl\u0131 \u00e7al\u0131\u015f\u0131r. Bunun birka\u00e7 nedeni vard\u0131r:
\n*   CPython Optimizasyonlar\u0131:<\/strong> CPython yorumlay\u0131c\u0131s\u0131, liste anlay\u0131\u015flar\u0131n\u0131 \u00f6zel olarak optimize eder ve dahili C koduna daha do\u011frudan \u00e7evirebilir. Bu, Python’\u0131n sanal makinesinde daha az i\u015flem ad\u0131m\u0131 anlam\u0131na gelir.
\n*   Fonksiyon \u00c7a\u011fr\u0131s\u0131 Azalmas\u0131:<\/strong> Geleneksel d\u00f6ng\u00fclerde list.append()<\/code> metodu her \u00f6\u011fe i\u00e7in ayr\u0131 ayr\u0131 \u00e7a\u011fr\u0131l\u0131r. Bu bir fonksiyon \u00e7a\u011fr\u0131s\u0131 overhead’i (ek y\u00fck) yarat\u0131r. Liste anlay\u0131\u015flar\u0131 bu append i\u015flemini daha verimli bir \u015fekilde dahili olarak halleder.
\n*   Yerle\u015fik Yap\u0131:<\/strong> Liste anlay\u0131\u015flar\u0131, Python’\u0131n yerle\u015fik (built-in) bir yap\u0131s\u0131d\u0131r ve bu nedenle genellikle daha d\u00fc\u015f\u00fck seviyeli dillerde (C gibi) yaz\u0131lm\u0131\u015f optimize edilmi\u015f kod par\u00e7alar\u0131na e\u015fde\u011ferdir.<\/p>\n
K\u00fc\u00e7\u00fck listeler i\u00e7in performans fark\u0131 g\u00f6z ard\u0131 edilebilir olsa da, b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken bu fark \u00f6nemli hale gelebilir.<\/p>\n
Okunabilirlik<\/h4>\n
Do\u011fru kullan\u0131ld\u0131\u011f\u0131nda, liste anlay\u0131\u015flar\u0131 geleneksel d\u00f6ng\u00fclere g\u00f6re daha deklaratif (bildirimsel) ve okunabilirdir. Ne yap\u0131laca\u011f\u0131n\u0131 (ifade) ve ne \u00fczerinde yap\u0131laca\u011f\u0131n\u0131 (d\u00f6ng\u00fc ve ko\u015ful) tek bir sat\u0131rda net bir \u015fekilde ifade ederler. Bu, kodun amac\u0131n\u0131 daha h\u0131zl\u0131 anlamam\u0131z\u0131 sa\u011flar. Bir for<\/code> d\u00f6ng\u00fcs\u00fcnde, \u00f6nce bo\u015f bir liste g\u00f6r\u00fcr\u00fcz, sonra d\u00f6ng\u00fcy\u00fc, sonra append()<\/code> \u00e7a\u011fr\u0131s\u0131n\u0131. Liste anlay\u0131\u015f\u0131nda ise, do\u011frudan “bu elemanlardan olu\u015fan bir liste olu\u015ftur” fikrini g\u00f6r\u00fcr\u00fcz.<\/p>\n
Bellek Verimlili\u011fi (Dolayl\u0131 Olarak)<\/h4>\n
Liste anlay\u0131\u015flar\u0131 do\u011frudan bellek verimlili\u011fi sa\u011flamaz, \u00e7\u00fcnk\u00fc yine de t\u00fcm elemanlar\u0131 bellekte tutan yeni bir liste olu\u015ftururlar. Ancak, benzer bir s\u00f6zdizimine sahip olan “\u00dcrete\u00e7 \u0130fadeleri” (Generator Expressions) ile kar\u0131\u015ft\u0131r\u0131lmamas\u0131 \u00f6nemlidir. \u00dcrete\u00e7 ifadeleri ()<\/code> parantezleriyle tan\u0131mlan\u0131r ve \u00f6\u011feleri talep edildi\u011finde tek tek \u00fcretir, bu da b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in bellek verimli bir \u00e7\u00f6z\u00fcm sunar. Liste anlay\u0131\u015flar\u0131n\u0131 anlamak, \u00fcrete\u00e7 ifadelerine ge\u00e7i\u015fi kolayla\u015ft\u0131r\u0131r.<\/p>\n
Liste Anlay\u0131\u015flar\u0131n\u0131n Dezavantajlar\u0131 ve Ne Zaman Kullan\u0131lmamal\u0131d\u0131r<\/h3>\n
Liste anlay\u0131\u015flar\u0131 g\u00fc\u00e7l\u00fc bir ara\u00e7 olsa da, her durumda en iyi \u00e7\u00f6z\u00fcm de\u011fildir. Yanl\u0131\u015f kullan\u0131ld\u0131\u011f\u0131nda veya a\u015f\u0131r\u0131ya ka\u00e7\u0131ld\u0131\u011f\u0131nda baz\u0131 dezavantajlar\u0131 olabilir:<\/p>\n
A\u015f\u0131r\u0131 Karma\u015f\u0131kl\u0131k<\/h4>\n
\u00c7ok say\u0131da i\u00e7 i\u00e7e d\u00f6ng\u00fc, karma\u015f\u0131k ko\u015fullar veya \u00e7ok uzun ifadeler i\u00e7eren liste anlay\u0131\u015flar\u0131, okunabilirli\u011fi ciddi \u015fekilde azaltabilir. Bir liste anlay\u0131\u015f\u0131 tek bir sat\u0131rda birden fazla ekran geni\u015fli\u011fine yay\u0131l\u0131yorsa veya anlamas\u0131 birka\u00e7 dakikadan fazla s\u00fcr\u00fcyorsa, muhtemelen \u00e7ok karma\u015f\u0131kt\u0131r. Bu t\u00fcr durumlarda, geleneksel for<\/code> d\u00f6ng\u00fcleri, kodu daha k\u00fc\u00e7\u00fck, daha y\u00f6netilebilir par\u00e7alara ay\u0131rarak daha net bir yap\u0131 sunabilir.<\/p>\n
# K\u00f6t\u00fc \u00f6rnek: A\u015f\u0131r\u0131 karma\u015f\u0131k liste anlay\u0131\u015f\u0131\ncok_karisik = [\n    (x, y, z)\n    for x in range(10)\n    if x % 2 == 0\n    for y in range(x, 10)\n    if y % 3 == 0\n    for z in range(y, 10)\n    if z % 4 == 0 and x + y + z < 20\n]\n
Bu t\u00fcr bir yap\u0131 yerine geleneksel d\u00f6ng\u00fcler tercih edilmelidir.<\/code><\/pre>\n<\/h2>\n
Hata Ay\u0131klama Zorlu\u011fu<\/h4>\n
Tek bir sat\u0131rda \u00e7ok fazla mant\u0131k bar\u0131nd\u0131ran liste anlay\u0131\u015flar\u0131nda hata ay\u0131klamak zor olabilir. E\u011fer bir hata olu\u015fursa, hatan\u0131n tam olarak hangi b\u00f6l\u00fcmden kaynakland\u0131\u011f\u0131n\u0131 tespit etmek, geleneksel d\u00f6ng\u00fclerdeki ad\u0131m ad\u0131m ilerleyen mant\u0131\u011fa g\u00f6re daha zordur.<\/p>\n
Yan Etkiler<\/h4>\n
Liste anlay\u0131\u015flar\u0131, yan etkileri (side effects) olmayan saf fonksiyonel d\u00f6n\u00fc\u015f\u00fcmler i\u00e7in idealdir. Yani, sadece giri\u015f verilerini al\u0131r, d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve yeni bir liste d\u00f6nd\u00fcr\u00fcrler. E\u011fer d\u00f6ng\u00fc i\u00e7inde bir de\u011fi\u015fkeni g\u00fcncellemeniz, bir dosyaya yazman\u0131z veya ba\u015fka bir harici durumu de\u011fi\u015ftirmeniz gerekiyorsa, geleneksel for<\/code> d\u00f6ng\u00fcs\u00fc daha uygun bir se\u00e7enektir. Liste anlay\u0131\u015flar\u0131 bu t\u00fcr yan etkiler i\u00e7in tasarlanmam\u0131\u015ft\u0131r ve zorland\u0131\u011f\u0131nda kodu okunaks\u0131z ve kafa kar\u0131\u015ft\u0131r\u0131c\u0131 hale getirir.<\/p>\n
Ne zaman geleneksel for<\/code> d\u00f6ng\u00fcs\u00fcne d\u00f6n\u00fclmeli?<\/strong>
\n*   Mant\u0131k, tek bir liste anlay\u0131\u015f\u0131 sat\u0131r\u0131nda net bir \u015fekilde ifade edilemeyecek kadar karma\u015f\u0131ksa.
\n*   D\u00f6ng\u00fc i\u00e7inde yan etkiler (de\u011fi\u015fken g\u00fcncelleme, I\/O i\u015flemleri vb.) gerekiyorsa.
\n*   Okunabilirlik ve anla\u015f\u0131labilirlik, performans veya kod k\u0131sal\u0131\u011f\u0131ndan daha \u00f6ncelikliyse (\u00f6zellikle yeni ba\u015flayanlar i\u00e7in).
\n*   Hata ay\u0131klama ihtiyac\u0131 y\u00fcksekse.<\/p>\n
Di\u011fer Anlay\u0131\u015f T\u00fcrleri (K\u0131sa Bir Bak\u0131\u015f)<\/h3>\n
Python, sadece listeler i\u00e7in de\u011fil, di\u011fer yerle\u015fik veri yap\u0131lar\u0131 i\u00e7in de anlay\u0131\u015f (comprehension) yap\u0131lar\u0131 sunar. Bunlar liste anlay\u0131\u015flar\u0131na \u00e7ok benzer bir s\u00f6zdizimine sahiptir ve ayn\u0131 prensiplerle \u00e7al\u0131\u015f\u0131r.<\/p>\n
S\u00f6zl\u00fck Anlay\u0131\u015flar\u0131 (Dictionary Comprehensions)<\/h4>\n
S\u00f6zl\u00fck anlay\u0131\u015flar\u0131, s\u00f6zl\u00fckleri dinamik olarak olu\u015fturmak i\u00e7in kullan\u0131l\u0131r. S\u00f6zdizimi {anahtar: de\u011fer for \u00f6\u011fe in yinelenebilir}<\/code> \u015feklindedir.<\/p>\n
meyveler = [\"elma\", \"muz\", \"kiraz\"]\nmeyve_uzunluklari = {meyve: len(meyve) for meyve in meyveler}\nprint(meyve_uzunluklari)\n
\u00c7\u0131kt\u0131: {'elma': 4, 'muz': 3, 'kiraz': 5}<\/code><\/pre>\n<\/h2>\n
K\u00fcme Anlay\u0131\u015flar\u0131 (Set Comprehensions)<\/h4>\n
K\u00fcme anlay\u0131\u015flar\u0131, k\u00fcmeleri (benzersiz \u00f6\u011felerden olu\u015fan koleksiyonlar) olu\u015fturmak i\u00e7in kullan\u0131l\u0131r. S\u00f6zdizimi {ifade for \u00f6\u011fe in yinelenebilir}<\/code> \u015feklindedir.<\/p>\n
sayilar = [1, 2, 2, 3, 4, 4, 5]\ntek_sayilarin_kareleri = {i<\/em>2 for i in sayilar if i % 2 != 0}\nprint(tek_sayilarin_kareleri)\n
\u00c7\u0131kt\u0131: {1, 9, 25} (k\u00fcmeler s\u0131ras\u0131zd\u0131r ve benzersiz \u00f6\u011feler i\u00e7erir)<\/code><\/pre>\n<\/h2>\n
\u00dcrete\u00e7 \u0130fadeleri (Generator Expressions)<\/h4>\n
\u00dcrete\u00e7 ifadeleri, liste anlay\u0131\u015flar\u0131na \u00e7ok benzer, ancak []<\/code> yerine ()<\/code> parantezleri kullan\u0131l\u0131r. Temel fark, \u00fcrete\u00e7 ifadelerinin bir liste olu\u015fturmak yerine bir \u00fcrete\u00e7 (generator) d\u00f6nd\u00fcrmesidir. \u00dcrete\u00e7ler, \u00f6\u011feleri talep edildi\u011finde (lazy evaluation) tek tek \u00fcretirler ve t\u00fcm \u00f6\u011feleri bellekte tutmazlar. Bu, \u00f6zellikle \u00e7ok b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken bellek verimlili\u011fi a\u00e7\u0131s\u0131ndan kritik \u00f6neme sahiptir.<\/p>\n
# Liste anlay\u0131\u015f\u0131: T\u00fcm kareleri bellekte tutar\nliste_kareler = [i<\/em>2 for i in range(1_000_000)]\n\n
\u00dcrete\u00e7 ifadesi: Kareleri talep edildi\u011finde \u00fcretir, bellekte yer kaplamaz<\/h2>\nuretec_kareler = (i<\/em>2 for i in range(1_000_000))\nprint(sum(uretec_kareler)) # \u00dcrete\u00e7ten elemanlar\u0131 al\u0131p toplar<\/code><\/pre>\n
\u00dcrete\u00e7 ifadeleri, liste anlay\u0131\u015flar\u0131n\u0131n bellek t\u00fcketimi sorununu \u00e7\u00f6zen g\u00fc\u00e7l\u00fc bir alternatiftir ve \u00f6zellikle b\u00fcy\u00fck veri i\u015fleme boru hatlar\u0131nda yayg\u0131n olarak kullan\u0131l\u0131r.<\/p>\n
Pratik Kullan\u0131m Alanlar\u0131 ve \u0130pu\u00e7lar\u0131<\/h3>\n
Liste anlay\u0131\u015flar\u0131, Python’da say\u0131s\u0131z senaryoda pratik olarak kullan\u0131labilir:<\/p>\n
*   Veri Filtreleme:<\/strong> Bir listeden belirli ko\u015fullar\u0131 sa\u011flayan \u00f6\u011feleri se\u00e7me (\u00f6rne\u011fin, belirli bir ya\u015ftan b\u00fcy\u00fck ki\u015fileri filtreleme).
\n*   Veri D\u00f6n\u00fc\u015ft\u00fcrme:<\/strong> Bir listedeki \u00f6\u011feleri belirli bir fonksiyona g\u00f6re d\u00f6n\u00fc\u015ft\u00fcrme (\u00f6rne\u011fin, stringleri b\u00fcy\u00fck harfe \u00e7evirme, say\u0131lar\u0131 logaritmas\u0131n\u0131 alma).
\n*   String Manip\u00fclasyonlar\u0131:<\/strong> Bir metindeki kelimeleri i\u015fleme, belirli karakterleri filtreleme veya d\u00f6n\u00fc\u015ft\u00fcrme.
\n*   Listelerin Birle\u015ftirilmesi\/Ayr\u0131\u015ft\u0131r\u0131lmas\u0131:<\/strong> \u0130\u00e7 i\u00e7e listeleri d\u00fczle\u015ftirme veya bir listeyi belirli kriterlere g\u00f6re birden fazla listeye ay\u0131rma.
\n*   API Yan\u0131tlar\u0131n\u0131 \u0130\u015fleme:<\/strong> Bir API’den gelen JSON verisini belirli alanlara g\u00f6re filtreleme veya d\u00f6n\u00fc\u015ft\u00fcrme.<\/p>\n
\u0130pu\u00e7lar\u0131:<\/strong>
\n*   K\u0131sa ve \u00d6z Tutun:<\/strong> Liste anlay\u0131\u015flar\u0131n\u0131z\u0131 tek bir sat\u0131rda tutmaya \u00e7al\u0131\u015f\u0131n ve karma\u015f\u0131kl\u0131ktan ka\u00e7\u0131n\u0131n.
\n*   Okunabilirli\u011fi \u00d6nemseyin:<\/strong> Bir liste anlay\u0131\u015f\u0131 ne kadar k\u0131sa olursa olsun, anla\u015f\u0131lmas\u0131 zor ise geleneksel d\u00f6ng\u00fcye d\u00f6nmekten \u00e7ekinmeyin.
\n*   Yan Etkilerden Ka\u00e7\u0131n\u0131n:<\/strong> Liste anlay\u0131\u015flar\u0131n\u0131, yan etkileri olmayan saf d\u00f6n\u00fc\u015f\u00fcmler i\u00e7in kullan\u0131n.
\n*   Gerekti\u011finde \u00dcrete\u00e7 \u0130fadelerini Kullan\u0131n:<\/strong> B\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken veya ara liste olu\u015fturmak istemedi\u011finizde ()<\/code> ile \u00fcrete\u00e7 ifadelerine ba\u015fvurun.
\n*   PEP 202’yi Okuyun:<\/strong> Python Geli\u015ftirme \u00d6nerisi (PEP) 202, liste anlay\u0131\u015flar\u0131n\u0131n arkas\u0131ndaki mant\u0131\u011f\u0131 ve tarih\u00e7esini anlamak i\u00e7in iyi bir kaynakt\u0131r.<\/p>\n
Sonu\u00e7: Python Programlamas\u0131nda Liste Anlay\u0131\u015flar\u0131n\u0131n Yeri<\/h3>\n
Liste anlay\u0131\u015flar\u0131, Python 3’te modern ve etkili kod yazman\u0131n temel ta\u015flar\u0131ndan biridir. Kodunuzu daha k\u0131sa, daha h\u0131zl\u0131 ve do\u011fru kullan\u0131ld\u0131\u011f\u0131nda daha okunabilir hale getirirler. Bir Python geli\u015ftiricisi olarak, liste anlay\u0131\u015flar\u0131n\u0131n s\u00f6zdizimini, ko\u015fullu kullan\u0131mlar\u0131n\u0131 ve i\u00e7 i\u00e7e yap\u0131lar\u0131n\u0131 anlamak, g\u00fcnl\u00fck programlama g\u00f6revlerinizde size \u00f6nemli bir avantaj sa\u011flayacakt\u0131r.<\/p>\n
Ancak, her ara\u00e7 gibi, liste anlay\u0131\u015flar\u0131n\u0131n da ne zaman kullan\u0131laca\u011f\u0131n\u0131 ve ne zaman geleneksel for<\/code> d\u00f6ng\u00fclerine veya \u00fcrete\u00e7 ifadelerine ba\u015fvurulaca\u011f\u0131n\u0131 bilmek \u00f6nemlidir. A\u015f\u0131r\u0131 karma\u015f\u0131k liste anlay\u0131\u015flar\u0131ndan ka\u00e7\u0131narak ve okunabilirli\u011fi her zaman \u00f6n planda tutarak, Python’\u0131n sundu\u011fu bu g\u00fc\u00e7l\u00fc \u00f6zelli\u011fi en verimli \u015fekilde kullanabilirsiniz. Liste anlay\u0131\u015flar\u0131, Python’\u0131n “g\u00fczel kod” felsefesinin canl\u0131 bir \u00f6rne\u011fidir ve her Python programc\u0131s\u0131n\u0131n ara\u00e7 kutusunda bulunmas\u0131 gereken vazge\u00e7ilmez bir yetenektir.<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"Python 3’te Liste Anlay\u0131\u015flar\u0131n\u0131 (List Comprehensions) Anlamak: G\u00fc\u00e7l\u00fc ve Etkili Bir Yakla\u015f\u0131m\nPython programlama dili, temiz, okunabilir ve ve","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1403],"tags":[],"class_list":{"0":"post-32785","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-python","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nPython 3'te Liste Anlay\u0131\u015flar\u0131n\u0131 (List Comprehensions) Anlamak: G\u00fc\u00e7l\u00fc ve Etkili Bir Yakla\u015f\u0131m - 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