<center> <a href="https://www.coogger.com/@hakancelik/numpy-nedir"> <img alt="" src="https://www.coogger.com/media/images/numpy_fzRp3P5.png"> </a> <a href="https://www.coogger.com/@hakancelik/numpy-nedir">Read this content on coogger</a> </center>
author | hakancelik |
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permlink | numpy-nedir |
category | coogger |
json_metadata | "{"format": "markdown", "tags": ["coogger", "tr", "python", "numpy"], "app": "coogger/1.4.1", "ecosystem": {"version": "1.4.1", "body": "![](https://www.coogger.com/media/images/numpy_fzRp3P5.png)\r\n\r\nHerkese merhaba \u00a0arkada\u015flar [**python-opencv**](http://www.coogger.com/python-opencv/@hakancelik/) yaz\u0131lar\u0131 ile birlikte s\u00fcrekli kullanmakta oldu\u011fumuz **numpy** k\u00fct\u00fcphanesini bu listede anlatmay\u0131 planl\u0131yorum yine numpy tutorial' \u0131 \u00e7evirirerek yapacam herkese iyi \u00e7al\u0131\u015fmalar, konu anlat\u0131m\u0131na bir sonraki yaz\u0131da ba\u015flayaca\u011f\u0131m .\r\n\r\n## Numpy\r\nNumpy, Python'da bilimsel hesaplamalar i\u00e7in temel ( core ) k\u00fct\u00fcphanedir. Y\u00fcksek performansl\u0131 \u00e7ok boyutlu bir dizi nesnesi ve bu dizilerle \u00e7al\u0131\u015fmak i\u00e7in ara\u00e7lar sunar.\r\n\r\nbu seri boyunca\r\n\r\n```\r\n\r\n>>> import numpy\r\n>>> numpy.__version__\r\n'1.13.1'\r\n>>>\r\n```\r\n\r\n1.13.1 versiyon'u\u00a0kullanaca\u011f\u0131z."}}" |
created | 2018-03-29 12:11:21 |
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Hızlı kısa ve çabuk bir içerik olmuş :)
author | kriptokalesi |
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