{"id":207,"date":"2023-08-17T16:19:33","date_gmt":"2023-08-17T13:19:33","guid":{"rendered":"https:\/\/www.facadium.com.tr\/blog\/?p=207"},"modified":"2023-08-31T16:27:23","modified_gmt":"2023-08-31T13:27:23","slug":"numpy-dizilerinde-kullanilan-metodlar","status":"publish","type":"post","link":"https:\/\/www.facadium.com.tr\/blog\/numpy-dizilerinde-kullanilan-metodlar\/","title":{"rendered":"Numpy Dizilerinde Kullan\u0131lan Metodlar"},"content":{"rendered":"\n

NumPy, y\u00fcksek performansl\u0131 hesaplama, matematiksel i\u015flemler ve bilimsel hesaplamalar i\u00e7in optimize edilmi\u015f bir Python k\u00fct\u00fcphanesidir. Bu ama\u00e7la, NumPy dizilerinde kullan\u0131labilen bir\u00e7ok farkl\u0131 metod bulunmaktad\u0131r. Baz\u0131lar\u0131 a\u015fa\u011f\u0131da listelenmi\u015ftir:<\/p>\n\n\n\n

    \n
  1. np.array(): Bir NumPy dizisi olu\u015fturmak i\u00e7in kullan\u0131l\u0131r.<\/li>\n\n\n\n
  2. np.arange(): Belirtilen aral\u0131ktaki say\u0131lar\u0131 bir NumPy dizisinde d\u00f6nd\u00fcr\u00fcr.<\/li>\n\n\n\n
  3. np.linspace(): Belirtilen aral\u0131kta, belirli bir say\u0131da e\u015fit aral\u0131kl\u0131 say\u0131lar\u0131 bir NumPy dizisinde d\u00f6nd\u00fcr\u00fcr.<\/li>\n\n\n\n
  4. ndarray.shape: Dizinin boyutunu veren bir \u00f6zelliktir.<\/li>\n\n\n\n
  5. ndarray.ndim: Dizinin boyut say\u0131s\u0131n\u0131 veren bir \u00f6zelliktir.<\/li>\n\n\n\n
  6. ndarray.size: Dizideki eleman say\u0131s\u0131n\u0131 veren bir \u00f6zelliktir.<\/li>\n\n\n\n
  7. ndarray.dtype: Dizideki veri tipini belirten bir \u00f6zelliktir.<\/li>\n\n\n\n
  8. ndarray.reshape(): Dizinin boyutunu de\u011fi\u015ftirmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n\n\n\n
  9. ndarray.min(): Dizideki en k\u00fc\u00e7\u00fck de\u011feri d\u00f6nd\u00fcr\u00fcr.<\/li>\n\n\n\n
  10. ndarray.max(): Dizideki en b\u00fcy\u00fck de\u011feri d\u00f6nd\u00fcr\u00fcr.<\/li>\n\n\n\n
  11. ndarray.mean(): Dizideki elemanlar\u0131n ortalamas\u0131n\u0131 hesaplar.<\/li>\n\n\n\n
  12. ndarray.std(): Dizideki elemanlar\u0131n standart sapmas\u0131n\u0131 hesaplar.<\/li>\n\n\n\n
  13. ndarray.sum(): Dizideki elemanlar\u0131n toplam\u0131n\u0131 hesaplar.<\/li>\n\n\n\n
  14. ndarray.dot(): \u0130ki dizinin nokta \u00e7arp\u0131m\u0131n\u0131 hesaplar.<\/li>\n\n\n\n
  15. np.random.rand(): Belirtilen boyutta, 0-1 aras\u0131nda rastgele say\u0131lar i\u00e7eren bir NumPy dizisi olu\u015fturur.<\/li>\n<\/ol>\n\n\n\n

    Bu sadece birka\u00e7 \u00f6rnek olup, NumPy\u2019deki metodlar, hesaplama, matematiksel i\u015flemler ve veri manip\u00fclasyonu i\u00e7in \u00e7ok \u00e7e\u015fitlidir. NumPy dok\u00fcmantasyonunda tam bir liste ve a\u00e7\u0131klama bulunabilir.<\/p>\n","protected":false},"excerpt":{"rendered":"

    NumPy, y\u00fcksek performansl\u0131 hesaplama, matematiksel i\u015flemler ve bilimsel hesaplamalar i\u00e7in optimize edilmi\u015f bir Python k\u00fct\u00fcphanesidir. Bu ama\u00e7la, NumPy dizilerinde kullan\u0131labilen bir\u00e7ok farkl\u0131 metod bulunmaktad\u0131r. Baz\u0131lar\u0131 […]<\/p>\n","protected":false},"author":3,"featured_media":433,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39],"tags":[32,31,34,8,29,33,30],"class_list":["post-207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-numpy","tag-data-analysis","tag-data-mining","tag-data-science","tag-python","tag-veri-analizi","tag-veri-bilimi","tag-veri-madenciligi"],"_links":{"self":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/207","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/comments?post=207"}],"version-history":[{"count":1,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/207\/revisions"}],"predecessor-version":[{"id":209,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/207\/revisions\/209"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/media\/433"}],"wp:attachment":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/media?parent=207"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/categories?post=207"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/tags?post=207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}