<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 20 Apr 2026 19:19:05 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/jupyter-notebook/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Python 설치]]></title><description><![CDATA[Python, Jupyter Notebook 설치 Python 설치 파이썬은 많은 통합개발환경(IDE:Integrated Development Environment)를 통해서 코드를 작성할수 있지만 데이터 사이 언스라는 강좌의 특성상 Jupyter Notebook에서 코드를 작성하여 실행합니다. macOS와 Windows에서의 Jupyter Notebook의]]></description><link>http://direct.ecency.com/kr/@radajin/python-jupyter-notebook</link><guid isPermaLink="true">http://direct.ecency.com/kr/@radajin/python-jupyter-notebook</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[radajin]]></dc:creator><pubDate>Thu, 16 Aug 2018 07:34:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/RGgukq5E6HBM2jscGd4Sszpv94XxHH2uqxMY9z21vaqHt1prTGKt5HNejzPcQ8y647AnFC6KydYX1Sf1hMqDu8kPxhjKaadxqtLcYtJpQ4yzKz9Pnb3BQdRq7pViBqQ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Importing data to Google Colaboratory]]></title><description><![CDATA[Google Colaboratory is a Jupyter Notebook enviornment that doesn't require any setup and completely runs in the cloud. The notebooks are stored on Google Drive, so it can be easily shared. Over all of]]></description><link>http://direct.ecency.com/google-colab/@ankurankan/importing-data-to-google-colaboratory</link><guid isPermaLink="true">http://direct.ecency.com/google-colab/@ankurankan/importing-data-to-google-colaboratory</guid><category><![CDATA[google-colab]]></category><dc:creator><![CDATA[ankurankan]]></dc:creator><pubDate>Sun, 01 Apr 2018 11:52:39 GMT</pubDate></item><item><title><![CDATA[Printing a picture from a Python jupyter notebook.]]></title><description><![CDATA[%pylab inline import matplotlib.pyplot as plt import matplotlib.image as mpimg img=mpimg.imread('poster.jpg') imgplot = plt.imshow(img) plt.show() result *The image must be at the address where you run]]></description><link>http://direct.ecency.com/python/@south-man/printing-a-picture-from-a-python-jupyter-notebook</link><guid isPermaLink="true">http://direct.ecency.com/python/@south-man/printing-a-picture-from-a-python-jupyter-notebook</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[south-man]]></dc:creator><pubDate>Sat, 31 Mar 2018 08:45:57 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYMdHZoipneBpveRQtgojrVtWnjV3x8otBpLXtRSZsnsuQaSUg1iJj7afk1jMS64ugCpQi9akNJ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Apache Spark w/ jupyter 설정 & 설치]]></title><description><![CDATA[환경 python 을 사용해서 spark를 활용하기 위해 사전 준비 작업을 포스팅합니다. 여러 블로그에서 spark 자체의 jupyter-notebook기능을 활용해서 하는 것들을 보여줬었습니다. 저는 spark를 활용할 수 있는 가상환경을 만들고 이를 jupyter-notebook kernel 로 올려서 사용할 생각입니다. 이전과 마찬가지로 AWS, ubuntu]]></description><link>http://direct.ecency.com/apache-spark/@rawoon89/apache-spark-w-jupyter-practice-1</link><guid isPermaLink="true">http://direct.ecency.com/apache-spark/@rawoon89/apache-spark-w-jupyter-practice-1</guid><category><![CDATA[apache-spark]]></category><dc:creator><![CDATA[rawoon89]]></dc:creator><pubDate>Mon, 05 Mar 2018 10:48:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjWMGm4Xa2MvD5AT2bJsSA8F9WeC71v1s1fKfGkK9mMKuc3LcvF4KigbWg9UsrpEPGLGF61wN6mezW1L9k9UoMtc4EgtGet7pNS8P9WDMp8qt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[jupyter notebook] install and publish public server]]></title><description><![CDATA[설치 환경 AWS-EC2, ubuntu 14.04 bash , python3 환경에서 진행하였습니다. 설치 방법 가장 먼저 jupyter 를 설치합니다. $ pip3 install jupyter 로컬환경에서는 다음 명령으를 이용하면 localhost:8888 로 접속가능합니다. $ jupyter notebook 그러나 AWS EC2환경에서는 브라우저를 활용할]]></description><link>http://direct.ecency.com/aws-ec2/@rawoon89/jupyter-notebook-install-and-publish-public-server</link><guid isPermaLink="true">http://direct.ecency.com/aws-ec2/@rawoon89/jupyter-notebook-install-and-publish-public-server</guid><category><![CDATA[aws-ec2]]></category><dc:creator><![CDATA[rawoon89]]></dc:creator><pubDate>Tue, 27 Feb 2018 07:38:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZynrK7VMpTVkL7tZMBbe72izuvYzpnaiLcFA5pVnSVJmoapstNBmkW4zmPtcWquBWTubiCntVC?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>