Welcome to the Python Packaging User Guide, a collection of tutorials and references to help you distribute and install Python packages with modern tools. This guide is maintained on GitHub by the Python Packaging Authority. We happily accept contributions and feedback. 😊 Overview and Flow# Note Building your understanding of Python packaging is a journey. Patience and continuous improvement are
This plugin is up for adoption! We are looking for new maintainers. Visit our Adopt a Plugin initiative for more information. This plugin makes it possible to setup a custom environment for your jobs. Features: Removes inherited environment variables by the Jenkins Java process Injects environment variables at node (controller/agent) startup Executes a setup script before or/and after a SCM checko
VMware Tanzu Defined: Strategy Update. Watch the replay
VMware Tanzu Defined: Strategy Update. Watch the replay
HOME » テックブログ » AWS , CI , Docker » Jenkinsのジョブの実行環境にAmazon EC2 Container Service ( ECS ) を活用 CI環境の問題点 CI環境でよく起きる問題として以下のような問題がある。 SlowTest コードベースが肥大化していくと、それに合わせてテストコードも肥大化し、テストの実行にかかる時間がどんどん伸びていく。テストが全て完了するのに20,30分かかるようなことだと気軽にテストやデプロイなど行えない。 テストの実行環境 プロダクトによって、言語や実行環境が異なるとテスト環境もそれぞれ異なり、複数のプロダクトのCIを同じ環境で動作させようとすると、CI環境上に全てのプロダクトを動作させるのに必要なソフトウェアのインストールや管理が必要になり、CI環境のメンテナンスがカオスになる。 こういった問題を解消するのに
Amazon EC2 Container Service with autoscaling capabilitiesHow to install Use Amazon ECS Containers to setup (docker-based) elastic build executors. About Amazon EC2 Container Service (ECS) is AWS' service for Docker container orchestration letting you deploy Docker based applications on a cluster. This plugin lets you use Amazon ECS Container Service to manage Jenkins cloud agents. Jenkins delegat
VMware Tanzu Defined: Strategy Update. Watch the replay
This week, I gave a talk at Valley TechCon in Harrisonburg, VA (where I live), which is a conference that features tech businesses and practitioners from the Shenandoah Valley of Virginia, and is in its 2nd year. There were a bunch of cool topics and speakers, and it was great to see what other great tech is being built in my part of the world! I said I’d share my slides on my “SQL for Data Scienc
It’s abnormally hot in a large portion of the United States, and it’s going to stay that way for a few days. The New York Times has a heat tracker to show the areas with dangerous high temperatures and how long it will last. A searchable line chart shows background bands for heat index levels, and a subtle gray to black gradient on the line reinforces the peaks. Stay indoors and stay hydrated.
The last few years have seen deep learning make significant advances in fields as diverse as speech recognition, image understanding, natural language understanding, translation, robotics, and healthcare. In this talk I'll describe some of the machine learning research done by the Google Brain team (often in collaboration with others at Google). As part of our research, we have built two systems,
Abstract Realistic image manipulation is challenging because it requires modifying the image appearance in a user-controlled way, while preserving the realism of the result. Unless the user has considerable artistic skill, it is easy to "fall off" the manifold of natural images while editing. In this paper, we propose to learn the natural image manifold directly from data using a generative advers
Open source Reinforcement Learning for Torch: Introducing torch-twrl Advances in machine learning have been driven by innovations and ideas from many fields. Inspired by the way that humans learn, Reinforcement Learning (RL) is concerned with algorithms which improve with trial-and-error feedback to optimize future performance. Board games and video games often have well-defined reward functions w
This guide is patterned after my “Doing well in your courses”, a post I wrote a long time ago on some of the tips/tricks I’ve developed during my undergrad. I’ve received nice comments about that guide, so in the same spirit, now that my PhD has come to an end I wanted to compile a similar retrospective document in hopes that it might be helpful to some. Unlike the undergraduate guide, this one wa
This plugin lets you trigger new builds when your build has completed, with various ways of specifying parameters for the new build. These new builds appear as "Subprojects" in the Jenkins UI when you are looking at a project that triggers them. You can add multiple configurations: each has a list of projects to trigger, a condition for when to trigger them (based on the result of the current buil
This plugin adds two new parameter types to job configuration - node and label. The new parameters allow dynamic selection of the node or label where a job should be executed. The plugin can configure additional parameters for a job. These new parameter types are 'Node' and 'Label'. This is specially useful if you want to execute the job on different nodes without changing the configuration. It al
Fashion forecasting involves predicting trends and styles that customers will want to purchase seasons in advance. It is necessary because the fashion industry works well ahead of seasons to manufacture products on time. Forecasting includes studying market conditions, lifestyles, past data, street fashion, and designer collections. Understanding target customers through research like surveys and
編集部注:対談の内容を一部、修正して再掲しています。(2016年10月24日現在) クラウドとはAmazonのことであーる! 編集部 さて、今回のテーマはクラウドということでお願いします。 井上 神林さんはクラウド嫌いなんでしたっけ? 神林 僕ですか? 一般的には別に嫌いじゃないですよ。とはいえ、実際、好きか嫌いかっていうこと以前にですね、結局使い物になるクラウドって何を指すの? とか、海外勢と国内比べてどうなのかとか、そういう話があって、結構、定義がどうとかこうとかいう話になってしまったりして、好きとか嫌いとかそれ以前の話で。まずそもそもクラウドって何を指すのっていう。 井上 そうですね。まずはクラウドの定義から。 神林 まあ、NISTの定義とかどうでもいいんですけど、どこを指しているのかっていうのは話をはじめるにあたって、はっきりさせておいたほうがいいですね。僕だと、クラウドっていうの
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