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Welcome to Fabric!¶ Fabric is a high level Python (2.7, 3.4+) library designed to execute shell commands remotely over SSH, yielding useful Python objects in return. It builds on top of Invoke (subprocess command execution and command-line features) and Paramiko (SSH protocol implementation), extending their APIs to complement one another and provide additional functionality. To find out what’s ne
The context of our FiveThirtyEight graph Almost every FTE graph is part of an article. The graphs complement the text by illustrating a little story, or an interesting idea. We'll need to be mindful of this while replicating our FTE graph. To avoid digressing from our main task in this tutorial, let's just pretend we've already written most of an article about the evolution of gender disparity in
Welcome to Xcessiv’s documentation!¶ Xcessiv is a web-based application for quick and scalable hyperparameter tuning and stacked ensembling in Python. Features¶ Fully define your data source, cross-validation process, relevant metrics, and base learners with Python code Any model following the Scikit-learn API can be used as a base learner Task queue based architecture lets you take full advantage
文:Daniel Sim 分析:Lee Shangqian、Daniel Sim、Clarence Ng ここ数ヶ月、シンガポールのMRT環状線では列車が何度も止まるものの、その原因が分からないため、通勤客の大きな混乱や心配の種となっていました。 私も多くの同僚と同じように環状線を使ってワンノースのオフィスに通っています。そのため、11月5日に列車が止まる原因を調査する依頼がチームに来た時は、ためらうことなく業務に携わることを志願しました。 鉄道運営会社SMRTと陸上交通庁(LTA)による事前調査から、いくつかの電車の信号を消失させる信号の干渉があり、それがインシデントを引き起こすことが既に分かっていました。信号が消失すると列車の安全機能である緊急ブレーキが作動するため、不規則に電車が止まる原因となります。 しかし8月に初めて発生した今回のインシデントは、不規則に起こっているように見えるた
What is it? Pythran is a python to c++ compiler for a subset of the python language. It takes a python module annotated with a few interface description and turns it into a native python module with the same interface, but (hopefully) faster. It is meant to efficiently compile scientific programs, and takes advantage of multi-cores and SIMD instruction units. Pythran development is currently done
Let's pretend we need to build a recommendation engine for an eCommerce web site. There are basically two approaches you can take: content-based and collaborative-filtering. We'll look at some pros and cons of each approach, and then we'll dig into a simple implementation (ready for deployment on Heroku!) of a content-based engine. For a sneak peak at the results of this approach, take a look at h
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