{"id":25899,"date":"2022-12-13T10:41:00","date_gmt":"2022-12-13T13:41:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/empirical-writing-copy\/"},"modified":"2024-05-29T14:31:52","modified_gmt":"2024-05-29T17:31:52","slug":"python-in-research","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/tr\/python-in-research\/","title":{"rendered":"Python Tabanl\u0131 Bir Ara\u015ft\u0131rma Ortam\u0131"},"content":{"rendered":"<p>Giderek artan say\u0131da insan, akademik ve bilimsel ara\u015ft\u0131rmalar da dahil olmak \u00fczere, \u00e7al\u0131\u015fmalar\u0131n\u0131n birincil hedefi olarak veriye dayal\u0131 sonu\u00e7lar \u00e7\u0131karmaya odaklan\u0131yor.&nbsp;<\/p>\n\n\n\n<p>B\u00fcy\u00fck miktarda veriyi i\u015flemek i\u00e7in bir\u00e7ok kullan\u0131c\u0131 Microsoft Excel veya Google E-Tablolar gibi yaz\u0131l\u0131mlara g\u00fcvenmektedir. \u00c7ok fazla potansiyele sahip olsalar da, bu ara\u00e7lar\u0131n b\u00fcy\u00fck miktarda veriyi kavrayamama da dahil olmak \u00fczere bir\u00e7ok eksikli\u011fi vard\u0131r.&nbsp;<\/p>\n\n\n\n<p>Python i\u00e7in durum b\u00f6yle de\u011fil. Bu, inan\u0131lmaz derecede h\u0131zl\u0131 b\u00fcy\u00fcyen en iyi programlama dillerinden biridir. Ara\u015ft\u0131rma s\u00f6z konusu oldu\u011funda Python'un bir\u00e7ok faydas\u0131 vard\u0131r. Bu makalede bunlara bir g\u00f6z ataca\u011f\u0131z<\/p>\n\n\n\n<h2 id=\"h-in-research-how-does-python-play-a-role\">Ara\u015ft\u0131rmalarda Python Nas\u0131l Bir Rol Oynuyor?<\/h2>\n\n\n\n<p>Akademisyenler ve di\u011fer ara\u015ft\u0131rmac\u0131lar i\u00e7in \u00e7e\u015fitli ara\u015ft\u0131rma becerileri mevcuttur. Yeni ba\u015flayan programc\u0131lar i\u00e7in mevcut olan bir\u00e7ok programlama dili aras\u0131nda Python, en kullan\u0131c\u0131 dostu ve eri\u015filebilir olanlardan biri olarak \u00f6ne \u00e7\u0131k\u0131yor. Python ile programlama \u00e7ok \u00e7e\u015fitli ara\u015ft\u0131rma g\u00f6revlerini yerine getirebilir. Python'un a\u00e7\u0131k kaynak paketleri ara\u015ft\u0131rmac\u0131lara \u00e7e\u015fitli \u015fekillerde yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n<h3 id=\"h-data-collection\">Veri Toplama<\/h3>\n\n\n\n<p>Python, kullan\u0131c\u0131lara ara\u015ft\u0131rma projelerinin \u00e7e\u015fitli y\u00f6nleri \u00fczerinde tam kontrol sa\u011flar ve bu da veri toplama s\u00f6z konusu oldu\u011funda caziptir. \u00d6rne\u011fin, elektronik anketler ve davran\u0131\u015fsal deneyler, zamanlaman\u0131n \u00f6l\u00e7\u00fclmesi ve g\u00f6rsel veya i\u015fitsel i\u00e7eri\u011fin sunulmas\u0131 \u00fczerinde daha kolay bir \u015fekilde olu\u015fturulabilir. \u00d6z\u00fcnde Python, programlama kullanarak neredeyse t\u00fcm Web verilerini alman\u0131za olanak tan\u0131r. Python arac\u0131l\u0131\u011f\u0131yla t\u00fcm bilgilere kolayca eri\u015filebilecek tek bir yer.<\/p>\n\n\n\n<h3 id=\"h-data-processing-and-management\">Veri \u0130\u015fleme ve Y\u00f6netimi<\/h3>\n\n\n\n<p>Python tabanl\u0131 paket, verileri d\u00fczenlemek ve y\u00f6netmek i\u00e7in bir\u00e7ok se\u00e7enek sunar. Uygulama, ayn\u0131 anda birden fazla dosya veya klas\u00f6r olu\u015fturman\u0131za, yerini de\u011fi\u015ftirmenize, \u00e7o\u011faltman\u0131za veya de\u011fi\u015ftirmenize olanak tan\u0131r.  Python'daki bir mod\u00fclat\u00f6r, kullan\u0131c\u0131lar\u0131n bilgisayar\u0131n i\u015fletim sistemiyle etkile\u015fime girmesine olanak tan\u0131r; bu, elektronik tablo olmayan b\u00fcy\u00fck miktarda veriyi i\u015flemek i\u00e7in \u00f6zellikle yararl\u0131 olabilir.<\/p>\n\n\n\n<h3 id=\"h-data-analysis\">Veri Analizi<\/h3>\n\n\n\n<p>Python ayr\u0131ca \u00e7ok say\u0131da istatistik t\u00fcr\u00fc ger\u00e7ekle\u015ftirebilir. \u00d6rne\u011fin pandas paketi, veri s\u00fctunlar\u0131 aras\u0131nda h\u0131zl\u0131 bir Pearson korelasyon hesaplamas\u0131 yapman\u0131z\u0131 sa\u011flar. Pandas ve istatistik modellerinin yan\u0131 s\u0131ra Scikit-learn de eklendi\u011finde Python'un veri analizi yetenekleri \u00f6nemli \u00f6l\u00e7\u00fcde artm\u0131\u015ft\u0131r.<\/p>\n\n\n\n<h2 id=\"h-what-makes-python-such-a-good-research-tool\">Python'u Bu Kadar \u0130yi Bir Ara\u015ft\u0131rma Arac\u0131 Yapan Nedir?<\/h2>\n\n\n\n<p>Ara\u015ft\u0131rma ortam\u0131 da dahil olmak \u00fczere, modern d\u00fcnyada bilgisayarlar ve ak\u0131ll\u0131 telefonlar hayat\u0131m\u0131z\u0131n pek \u00e7ok y\u00f6n\u00fcn\u00fc de\u011fi\u015ftirmi\u015ftir.  Bilim insanlar\u0131 veri depolamak i\u00e7in giderek daha fazla elektronik formatlara ge\u00e7i\u015f yap\u0131yor ve bu da muazzam hacimlerde veri \u00fcretilmesine neden oluyor.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Python programlama dili, ara\u015ft\u0131rma alan\u0131nda \u00e7ok \u00e7e\u015fitli g\u00f6revlere \u00e7\u00f6z\u00fcmler \u00fcreten veri bilimcileri i\u00e7in vazge\u00e7ilmez bir ara\u00e7t\u0131r. Ara\u015ft\u0131rmac\u0131lar bu platformda bulunan \u00e7e\u015fitli ara\u00e7lar\u0131 kullanarak verilerden \u00f6nemli i\u00e7g\u00f6r\u00fcler elde edebilirler. S\u0131radan g\u00f6revler i\u00e7in \u00e7ok fazla zaman harcamak yerine kodlama kullanarak ara\u015ft\u0131rmalar daha h\u0131zl\u0131 ve verimli bir \u015fekilde tamamlanabilir.&nbsp;<\/p>\n\n\n\n<ul>\n<li>Python'da \u00e7ok say\u0131da geni\u015fletme \u00f6zelli\u011fi bulunmaktad\u0131r. Bilimsel hesaplama i\u00e7in pop\u00fcler bir Python k\u00fct\u00fcphanesi olan NumPy, art\u0131k Fortran alt programlar\u0131n\u0131 Python'a d\u00f6n\u00fc\u015ft\u00fcren bir paket olan F2Py'yi i\u00e7eriyor. Python ayr\u0131ca, \u00f6zellikle b\u00fcy\u00fck veri k\u00fcmelerinin i\u015flenmesini gerektiren bilimsel hesaplama i\u00e7in m\u00fckemmel giri\u015f\/\u00e7\u0131k\u0131\u015f se\u00e7enekleri sunar.<\/li>\n\n\n\n<li>Python'da bir dizi bilimsel hesaplama i\u015flevi yerle\u015fiktir. SciPy k\u00fct\u00fcphanesi ve birka\u00e7 ba\u011f\u0131ms\u0131z 'Scikit-learn' ara\u00e7 setinden olu\u015fan SciPy ekosistemleri, \u00e7o\u011fu Python da\u011f\u0131t\u0131m\u0131na dahil edilmi\u015ftir. S\u0131n\u0131fland\u0131rma, regresyon, k\u00fcmeleme ve matris indirgemeye ek olarak, sklearn k\u00fct\u00fcphanesi \u00e7e\u015fitli verimli istatistiksel ara\u00e7lar sa\u011flar.<\/li>\n\n\n\n<li>Python'un dinamik k\u00fct\u00fcphaneleri ile grafiksel g\u00f6rselle\u015ftirme kolayla\u015f\u0131r.  Matplotlib, \u00e7o\u011fu kullan\u0131c\u0131n\u0131n zaten \u00e7al\u0131\u015fmaya al\u0131\u015fk\u0131n olaca\u011f\u0131 Python i\u00e7in MATLAB tabanl\u0131 bir \u00e7izim k\u00fct\u00fcphanesidir. A\u00e7\u0131k kaynakl\u0131 bir grafik k\u00fct\u00fcphanesi olan Plotly, y\u00fcksek seviyeli, etkile\u015fimli grafikler olu\u015fturmak i\u00e7in Plotly.js kullan\u0131r.<\/li>\n\n\n\n<li>Python'da \u00e7e\u015fitli g\u00f6rev otomasyon \u00f6zellikleri mevcuttur. Yerle\u015fik komut dosyas\u0131 \u00f6zellikleri sayesinde otomasyonu iyi bir \u015fekilde kolayla\u015ft\u0131ran bir dizi Python paketi vard\u0131r. Zaman alan g\u00f6revleri otomatikle\u015ftirmek ve verileri g\u00fcnl\u00fc\u011fe kaydetmek i\u00e7in az miktarda \u00e7aba gerekir.<\/li>\n\n\n\n<li>Yeni ara\u015ft\u0131rmac\u0131lar genellikle verilerini manip\u00fcle etmek, yeniden \u015fekillendirmek ve i\u015flemek i\u00e7in ne kadar zaman ay\u0131racaklar\u0131n\u0131 yanl\u0131\u015f hesaplarlar. Veri i\u015fleme Python'un en g\u00fc\u00e7l\u00fc y\u00f6n\u00fcd\u00fcr. Yeni ara\u015ft\u0131rmac\u0131lar i\u00e7in bu \u00e7ok iyi bir kaynakt\u0131r. SQL veritabanlar\u0131ndaki yinelenen giri\u015fler Python kullan\u0131larak belirlenebilir ve silinebilir.<\/li>\n<\/ul>\n\n\n\n<p>Python dilinin ara\u015ft\u0131rmada sonsuz say\u0131da kullan\u0131m\u0131 vard\u0131r, ancak bunlar en \u00f6nemli kullan\u0131mlard\u0131r. Bu dil, yeni ba\u015flayanlardan deneyimli bilim insanlar\u0131na kadar herkese fayda sa\u011flayabilir. Python'u \u00e7al\u0131\u015fmay\u0131 basitle\u015ftirmek i\u00e7in kullanman\u0131n yan\u0131 s\u0131ra zamandan tasarruf etmek veya gelecekte onu kullanarak ek ara\u015ft\u0131rmalar yapmak da m\u00fcmk\u00fcnd\u00fcr.&nbsp;<\/p>\n\n\n\n<h2 id=\"h-with-just-a-few-clicks-you-can-have-your-scientific-figures-illustrated-on-point\">Sadece Birka\u00e7 T\u0131klama ile Bilimsel Fig\u00fcrlerinizi Noktasal Olarak \u00c7izdirebilirsiniz<\/h2>\n\n\n\n<p>\u0130nfografiklerle bilimsel ill\u00fcstrasyonlar\u0131n\u0131z\u0131 ve ileti\u015fiminizi daha etkili hale getirin. <a href=\"https:\/\/mindthegraph.com\" target=\"_blank\" rel=\"noreferrer noopener\">Grafi\u011fe Dikkat Edin<\/a> arac\u0131 size \u00e7ok \u00e7e\u015fitli tasar\u0131m se\u00e7eneklerinde yard\u0131mc\u0131 olabilir ve daha geni\u015f bilimle ilgili 65.000'den fazla bilimsel olarak do\u011fru g\u00f6r\u00fcnt\u00fcye eri\u015fim sunar.<\/p>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"600\" height=\"338\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/09\/3iezpf5xkd3.gif\" alt=\"\" class=\"wp-image-20197\"\/><\/figure><\/div>\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"is-layout-flex wp-block-buttons\">\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"https:\/\/mindthegraph.com\/\" style=\"border-radius:50px;background-color:#dc1866\" target=\"_blank\" rel=\"noreferrer noopener\">Ara\u015ft\u0131rman\u0131z\u0131 d\u0131\u015far\u0131ya ta\u015f\u0131yal\u0131m<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:44px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Python, inan\u0131lmaz bir h\u0131zla b\u00fcy\u00fcyen en iyi programlama dillerinden biridir. Ara\u015ft\u0131rma s\u00f6z konusu oldu\u011funda bir\u00e7ok faydas\u0131n\u0131 anlay\u0131n.<\/p>","protected":false},"author":27,"featured_media":25907,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Python-based research environment<\/title>\n<meta name=\"description\" content=\"Python is one of the top programming languages that are growing incredibly fast. 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She is currently pursuing a master's degree in Bioentrepreneurship from Karolinska Institute. She is interested in health and diseases, global health, socioeconomic development, and women's health. 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