[メモ]cygwin環境の構築 - Qiita
WindowsにCygwin環境を再構築することにしたのでついでに手順をメモ。 Python 3.6 Fortran90 C/C++ を使って科学技術的な計算をする人向け。 まず、 Cygwin上でmatplotlibは諦めよう 頑張ればできるのかもしれない。しかしその時間を開発にあてれば生産性は何倍にもなるだろう。 すこしのがまんで十分な環境が手に入る。 Anaconda導入 なにも考えることはない。 Python 3.6 Version 64bit-installer(32bitなら32bit)をダウンロードしてインストール。 https://www.continuum.io/Downloads 2019/03/22追記 Anacondaのドメインが変わっているのでこちらへ。 https://www.anaconda.com/distribution/ Cygwin導入 とりあえず公式
![[メモ]cygwin環境の構築 - Qiita](https://cdn-ak-scissors.b.st-hatena.com/image/square/10fcc97d54e744ec1626a88201641888f15c08f1/height=288;version=1;width=512/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fqiita-user-contents.imgix.net%252Fhttps%25253A%25252F%25252Fcdn.qiita.com%25252Fassets%25252Fpublic%25252Farticle-ogp-background-afbab5eb44e0b055cce1258705637a91.png%253Fixlib%253Drb-4.0.0%2526w%253D1200%2526blend64%253DaHR0cHM6Ly9xaWl0YS11c2VyLXByb2ZpbGUtaW1hZ2VzLmltZ2l4Lm5ldC9odHRwcyUzQSUyRiUyRnFpaXRhLWltYWdlLXN0b3JlLnMzLmFtYXpvbmF3cy5jb20lMkYwJTJGMTI0MDc2JTJGcHJvZmlsZS1pbWFnZXMlMkYxNDczNzE1Nzc0P2l4bGliPXJiLTQuMC4wJmFyPTElM0ExJmZpdD1jcm9wJm1hc2s9ZWxsaXBzZSZmbT1wbmczMiZzPWJmZjgxMTc5Mjg4M2EyZTIzNjcxNDRjYTFjZjVmNGEz%2526blend-x%253D120%2526blend-y%253D467%2526blend-w%253D82%2526blend-h%253D82%2526blend-mode%253Dnormal%2526s%253D967fb56d706b96e2254fcfd36f6cf8e5%3Fixlib%3Drb-4.0.0%26w%3D1200%26fm%3Djpg%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk2MCZoPTMyNCZ0eHQ9JTVCJUUzJTgzJUExJUUzJTgzJUEyJTVEY3lnd2luJUU3JTkyJUIwJUU1JUEyJTgzJUUzJTgxJUFFJUU2JUE3JThCJUU3JUFGJTg5JnR4dC1hbGlnbj1sZWZ0JTJDdG9wJnR4dC1jb2xvcj0lMjMxRTIxMjEmdHh0LWZvbnQ9SGlyYWdpbm8lMjBTYW5zJTIwVzYmdHh0LXNpemU9NTYmdHh0LXBhZD0wJnM9ZmUzOTlmYTExNDJkNmVhNTQyNTQ0OGZmZmI1NzBmYWU%26mark-x%3D120%26mark-y%3D112%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTgzOCZoPTU4JnR4dD0lNDBzdXMzMDQmdHh0LWNvbG9yPSUyMzFFMjEyMSZ0eHQtZm9udD1IaXJhZ2lubyUyMFNhbnMlMjBXNiZ0eHQtc2l6ZT0zNiZ0eHQtcGFkPTAmcz0wMGVkZGYxZGFkZDQyOGNmYWVjYzMzMjk5YTkzZDFmNw%26blend-x%3D242%26blend-y%3D480%26blend-w%3D838%26blend-h%3D46%26blend-fit%3Dcrop%26blend-crop%3Dleft%252Cbottom%26blend-mode%3Dnormal%26s%3D2626b71e478e9095dde601b17f86f9be)
Can't Install opencv - caused by conflict · Issue #2448 · conda/conda
# alabaster 0.7.7 py27_0 anaconda 4.0.0 np110py27_0 anaconda-client 1.4.0 py27_0 anaconda-navigator 1.1.0 py27_0 appnope 0.1.0 py27_0 appscript 1.0.1 py27_0 argcomplete 1.0.0 py27_1 astropy 1.1.2 np110py27_0 babel 2.2.0 py27_0 backports-abc 0.4 <pip> backports.ssl-match-hostname 3.4.0.2 <pip> backports_abc 0.4 py27_0 beautifulsoup4 4.4.1 py27_0 bitarray 0.8.1 py27_0 blaze 0.9.1 py27_0 bokeh 0.11.1
12 Python Data Visualization Libraries to Explore for Business Analysis | Mode
ThoughtSpot acquires Mode to define the next generation of collaborative BI >>Learn More
install Rodeo on OS X El Captain | Liyun's Blog
Today I try to install Rodeo in order to use python for data analysis on my macbook. It is a new macbook (and the New Macbook) so I started everything from scratch. I installed Anaconda as recommended and then I installed iPython notebook. Everything worked fine. $ python Python 3.5.1 |Anaconda 2.4.1 (x86_64)| (default, Dec 7 2015, 11:24:55) [GCC 4.2.1 (Apple Inc. build 5577)] on darwin Type "hel
Yhat End-to-End Data Science Platform: Rodeo
Spent the day with @YhatHQ's #RodeoIDE. It's great! Thanks to @TiffanyTimbers for recommending it. Try it for #Python programming! — Jeffrey LeDue (@JeffLeDue) November 27, 2016 #RodeoIDE https://t.co/LbLEyrEme2 is a #data centric #IDE for #python run scripts, evaluate data, auto-complete all within the IDE! — Nathan Ash (@Ompster) April 24, 2015 If you are pythonista Data Scientist but always env
Matplotlib: Python plotting — Matplotlib 2.0.0 documentation
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matp
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
PyAnsys — PyAnsys
Trackpy: Fast, Flexible Particle-Tracking Toolkit — trackpy 0.5.0 documentation
The definitive guide to setup my Python workspace
Conda revisions: letting you ‘rollback’ to a previous version of your environment « Robin's Blog
Fail to install PyX using Anaconda
Redirect
nbviewer.ipython.org - A simple way to share Jupyter Notebooks