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public | ||
.cache |
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[![Maintainability](https://api.codeclimate.com/v1/badges/5872e0a572ec8b74bd8d/maintainability)](https://codeclimate.com/github/iterative/dvc.org/maintainability) | ||
[![CircleCI](https://circleci.com/gh/iterative/dvc.org.svg?style=svg)](https://circleci.com/gh/iterative/dvc.org) | ||
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[DVC](https://github.com/iterative/dvc) project documentation and website source | ||
code. | ||
[DVC](https://github.com/iterative/dvc) project website's source code. | ||
[Documentation](https://dvc.org/doc) and [blog](https://dvc.org/blog) content. | ||
Contributions to are welcome! | ||
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## Installation | ||
# Contributing Docs | ||
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Make sure you have the latest LTS version of [Node.js](https://nodejs.org) and | ||
[Yarn](https://yarnpkg.com) installed. | ||
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Run `yarn`. | ||
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## Commands | ||
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- `yarn develop` - run dev server with hot reload. | ||
- `yarn build` - build static assets to `public` folder. | ||
- `yarn serve` - run static server over the `public` folder content to check | ||
build results. | ||
- `yarn lint-ts` - lint `.ts` and `.tsx` for compilance with code style and | ||
check its for type errors. | ||
- `yarn lint-css` - lint `.css` files for compilance with code style. | ||
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## ENV variables | ||
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- `GA_ID` – id of the Google Analytics counter. | ||
- `ANALYZE` - boolean prop to run webpack-analyzer | ||
- `SENTRY_DSN` - sentry dsn url for tracking errors | ||
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## Technologies | ||
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This docs engine was built using [Gatsby.js](https://www.gatsbyjs.org/). | ||
[Algolia](https://www.algolia.com/products/search/) uses to provide full text | ||
search. | ||
Please see our | ||
[Contributing guide](https://dvc.org/doc/user-guide/contributing/docs) for more | ||
details. | ||
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Please feel free to use it for your own sites and | ||
[reach out to us](https://dvc.org/support) if you have any questions. | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/0)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/0) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/1)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/1) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/2)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/2) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/3)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/3) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/4)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/4) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/5)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/5) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/6)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/6) | ||
[![](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/images/7)](https://sourcerer.io/fame/shcheklein/iterative/dvc.org/links/7) | ||
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# Contributing | ||
# Writing a blog post | ||
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We welcome contributions to the DVC docs by the community! | ||
Please, [contact us](mailto:[email protected]) if you'd like to write something | ||
cool together or publish your content on our [blog](https://dvc.org/blog). | ||
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You can refer to our | ||
[Contributing guide](https://dvc.org/doc/user-guide/contributing/docs) for more | ||
details. Thank you! | ||
Please see our | ||
[Writing a Blog Post guide](https://dvc.org/doc/user-guide/contributing/blog) | ||
for more details on how to write and submit a new blog post. | ||
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**If you need help:** | ||
# Getting help | ||
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If you have any questions, please join the [community](https://dvc.org/chat) and | ||
use the `#dev-docs` channel to discuss any issues in our website or docs. We are | ||
very responsive and happy to help. | ||
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# Writing blog posts | ||
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Create `.md` file in the `content/blog` folder. File name will be used as | ||
`slug`. | ||
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Write frontmatter in the following format: | ||
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```yml | ||
--- | ||
title: Hello World | ||
date: '2015-05-01T22:12:03.284Z' | ||
description: 'Hello World' | ||
descriptionLong: | | ||
Some long | ||
multiline | ||
text | ||
picture: /uploads/image.jpeg | ||
pictureComment: Some Comment | ||
author: ../authors/author_name.md | ||
tags: | ||
- Open Source | ||
- Machine Learning | ||
- Data Science | ||
- Version Control | ||
- AI | ||
--- | ||
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``` | ||
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- `title` - **Required.** Title of the post. | ||
- `date` - **Required.** Post date. Will be used to sort posts and in RSS. | ||
- `description` - **Required.** Short description to show in the feed. | ||
- `descriptionLong` - Optional long description to show before image on the post | ||
page. If not set, `description` will be used instead. | ||
- `picture` - Optional cover image. | ||
- `pictureComment` - Optional cover image comment. | ||
- `author` - **Required** Relative path to `.md` file with information about the | ||
author. | ||
- `tags` - Optional list of tags. | ||
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## Adding authors | ||
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Create `.md` file in the `content/authors` folder. | ||
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Write frontmatter in the following format: | ||
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```yml | ||
path: ../authors/relative_path_to_file.md | ||
name: Author's Name | ||
avatar: /uploads/avatar.jpeg | ||
``` | ||
- `path` - **Required** String that the CMS will insert to the author field in | ||
the blog post. Should be equal to the path from the blog post to the author's | ||
`.md` file. | ||
- `name` – **Required** Author's name. | ||
- `avatar` - **Required** relative path to the author's avatar. | ||
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# Copyright | ||
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This project is distributed under the Apache license version 2.0 (see the | ||
LICENSE file in the project root). | ||
Source code of this project is distributed under the Apache license version 2.0 | ||
(see the LICENSE file in the project root). | ||
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By submitting a pull request for this project, you agree to license your | ||
contribution under the Apache license version 2.0 to this project. | ||
Except where otherwise noted, documentation, blog content, images are licensed | ||
under a [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. | ||
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If you use images, please make a reference to the original site. | ||
By submitting a pull request for this project, you agree to license your | ||
contribution under the Apache license 2.0 (source code) or CC BY 4.0 | ||
(documentation). Exceptions could be made to content and any other materials | ||
that are published on our [blog](https://dvc.org/blog). |
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--- | ||
title: April '20 DVC❤️Heartbeat | ||
date: 2020-04-06 | ||
description: | | ||
Catch up on new DVC releases, talks, and projects in our community. | ||
This month, learn what we're up to in MLOps, CI/CD, and the | ||
intersection of data science and software engineering. | ||
descriptionLong: | | ||
Every month we share news, findings, interesting reads, community takeaways, | ||
and everything else along the way. | ||
Look here for updates about [DVC](https://dvc.org), our journey as a startup, | ||
projects by our users and big ideas about best practices in ML and data | ||
science. | ||
picture: ../../static/uploads/images/2020-04-06/april_header.png | ||
pictureComment: | ||
A view from [Barrancas del | ||
Cobre](https://en.wikipedia.org/wiki/Copper_Canyon), shot by Jorge Orpinel | ||
Pérez. Jorge has mastered the art of working on DVC remotely. | ||
author: ../authors/elle_obrien.md | ||
commentsUrl: https://discuss.dvc.org/t/april-20-heartbeat/347 | ||
tags: | ||
- Heartbeat | ||
- Google Drive | ||
- MLOps | ||
- CI/CD | ||
- Podcast | ||
- DivOps | ||
--- | ||
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Welcome to the April Heartbeat, our | ||
[monthly roundup of cool happenings](https://dvc-landing-april-heart-6d0onb.herokuapp.com/tags/heartbeat), | ||
good reads and other bright spots in our community. | ||
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## News | ||
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**Adapting to the pandemic.** Although the world seems different than when we | ||
posted last month, the DVC community is steady and strong. As a predominantly | ||
distributed company, we've been developing our infrastructure for remote work | ||
from the get-go. It isn't always _easy_ to schedule an all-hands meeting across | ||
9 time zones but we make it work. This experience has prepared us well for the | ||
COVID-19 pandemic: although there are new challenges (like caring for families | ||
while working from home) we've been able to weather the transition to fully | ||
remote work relatively well. | ||
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![](/static/uploads/images/2020-04-06/laptop_on_boat.jpeg)_Before social | ||
distancing started, DVC technical writer Jorge Orpinel Pérez has worked from a | ||
canoe. Check out more photos from his workations | ||
[on Instagram](https://www.instagram.com/workationer/)._ | ||
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**DVC sponsors DivOps.** In a time when many conferences are going remote out of | ||
necessity, we were fortunate to be part of an _intentionally_ remote conference | ||
this month! We sponsored [DivOps](https://divops.org/), a fully-online meeting | ||
led by women in DevOps. The DivOps lineup included speakers from GitHub, | ||
DropBox, Gremlin and more. DVC data scientist Elle (that's me!) gave a | ||
ten-minute talk about MLOps and CI/CD, so | ||
[please check out the video](https://dvc.org/blog/reimagining-devops-video). | ||
Another very relevant talk was from Anna Petrovicheva, CEO of | ||
[Xperience AI](http://xperience.ai/); Anna | ||
[spoke about her team's development workflow for deep learning projects](https://youtu.be/8nwpCQufeE0) | ||
and gave a clear overivew of how they use DVC. | ||
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**DVC on the airwaves.** In early March, Elle was interviewed on an episode of | ||
[The Data Stream podcast](https://open.spotify.com/show/5w4sAKB0fT6lGCELZAMIBh) | ||
about a DVC data science project, | ||
[building a public dataset of posts](https://dvc.org/blog/a-public-reddit-dataset) | ||
from the "Am I the Asshole?" subreddit. | ||
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<external-link | ||
href="https://open.spotify.com/episode/5JzIZLqnTF5aDh2B6UTemo?si=6LTQxq4xSDe0vhTpSLs1Jw" | ||
title="The Data Stream #3 - Who is the A-hole? With Elle" | ||
description="Ever wonder if it's possible to train a model to discover whether your friends are assholes or not? Today Elle comes on the show to talk about her project building a classifier to predict the results from reddit's hottest advice community: Am I the Asshole (or AITA for short)." | ||
link="spotify.com" | ||
image="/uploads/images/2020-04-06/data_stream.png"/> | ||
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## New releases | ||
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This month, DVC has | ||
[released some new features](https://github.com/iterative/dvc/releases) and | ||
updates: | ||
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- Did you know you can use Google Drive for remote storage with DVC? We've been | ||
hard at work delivering the best performance with Google Drive and are | ||
thrilled to invite users to try it out. Brand new | ||
[docs](https://dvc.org/doc/user-guide/setup-google-drive-remote#setup-a-google-drive-dvc-remote) | ||
explain how to get started. | ||
- We're introducing the `metrics diff` functionality, which lets you compare | ||
metrics from different commits side-by-side | ||
([check out the docs](https://dvc.org/doc/command-reference/metrics/diff) to | ||
learn more) | ||
- Windows users, we are here for you. Contributor | ||
[Charles Baynham](https://github.com/charlesbaynham) helped us get better | ||
performance on copy operations in Windows. | ||
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## From the community | ||
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**DVC and R working together** One of our favorite blogs this month came from | ||
Marcel Ribeiro-Dantas, a developer and PhD student at the | ||
[Institut Curie](https://institut-curie.org/). Marcel wrote about using DVC to | ||
manage projects in R, particularly defining and versioning pipelines of data | ||
processing and analysis that can be reproduced easily. While DVC is language | ||
agnostic, much of our user content has been Python-centric, so it's exciting to | ||
see a detailed post for the R-using data scientist (for more about R with DVC, | ||
see | ||
[Marija Ilić's post](https://dvc.org/blog/r-code-and-reproducible-model-development-with-dvc))! | ||
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<external-link | ||
href="https://mribeirodantas.xyz/blog/index.php/2020/03/05/r-dvc-and-rmarkdown/" | ||
title="Manage your Data Science Project in R" | ||
description="A simple project tutorial with R/RMarkdown, Packrat, Git, and DVC." | ||
link="mribeirodantas.xyz" | ||
image="/uploads/images/2020-04-06/marcel.jpeg"/> | ||
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Also, Marcel recently gave an interview on | ||
[The Data Hackers Podcast](https://medium.com/data-hackers/health-data-e-o-coronav%C3%ADrus-data-hackers-podcast-22-2b059d460cb1), | ||
a Portuguese-language show. Listen for a shout-out about DVC! | ||
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**DVC is in another book!** Last month we reported that DVC is part of a Packt | ||
book, | ||
["Learn Python by Building Data Science Applications"](https://www.packtpub.com/programming/learn-python-by-building-data-science-applications). | ||
This month, DVC got a mention in a just-released O'Reilly book, | ||
["Building Machine Learning Pipelines"](https://www.oreilly.com/library/view/building-machine-learning/9781492053187/) | ||
by Hannes Hapke and Catherine Nelson. | ||
|
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<external-link | ||
href="https://www.oreilly.com/library/view/building-machine-learning/9781492053187/" | ||
title="Building Machine Learning Pipelines" | ||
description="Automating Model Life Cycles with TensorFlow" | ||
link="oreilly.com" | ||
image="/uploads/images/2020-04-06/oreilly.jpeg"/> | ||
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**Some more links we like.** Here are a few other discussions that have caught | ||
our attention. | ||
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- **MLOps can be fun.** Jeroen France's blog, "MLOps: Not as boring as it | ||
sounds!", reads like a "coming of age" story about embracing engineering as a | ||
data scientist. It's part-motivational, part tutorial- definitely worth a | ||
read. Here's a sample: | ||
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> No-one wants to baby-sit, maintain, and troubleshoot their own models once | ||
> they are in production. Every data scientist secretly hopes they can pawn | ||
> that job off to an engineering team, or maybe an intern, right? Well, in | ||
> fact MLOps is going to make your data science life a lot better. | ||
- **Leveling up your Jupyter notebooks.** In a series called | ||
["How to Use Jupyter Notebooks in 2020"](https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-notebooks-in-2020-part-2/), | ||
Lj Miranda discusses how to use Jupyter Notebooks in a mature software | ||
development workflow. He makes several recommendations for tools, including | ||
DVC. | ||
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- **Reddit discussion about CI/CD** When we shared around our DivOps conference | ||
presentation on Reddit, some | ||
[great discussion happened](https://www.reddit.com/r/MachineLearning/comments/fshh9p/p_a_talk_about_adapting_cicd_systems_for_ml_full/). | ||
We chatted about how CI/CD might work for data scientists, who often begin a | ||
project with a phase of rapid exploration, and what version control for ML | ||
could look like without Git. | ||
|
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- **Smashing the data monolith.** Engineer Juan López López wrote a blog called | ||
["A complete guide about how to break the data monolith"](https://medium.com/packlinkeng/a-complete-guide-about-how-to-break-the-data-monolith-caa2ab2d01f6), | ||
which is a neat manifesto about treating infrastructure _and_ data as code. | ||
It's got nice coverage of DVC, code examples, and some deeply enjoyable | ||
artwork. | ||
|
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![](/static/uploads/images/2020-04-06/monolith.jpeg)_From Juan Juan López | ||
López's | ||
[blog](https://medium.com/packlinkeng/a-complete-guide-about-how-to-break-the-data-monolith-caa2ab2d01f6)._ | ||
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Thanks for reading. As always, let us know what you're making with DVC and what | ||
links are catching your interest in the blog comments, on | ||
[Twitter](https://twitter.com/DVCorg), and our | ||
[Discord channel](https://dvc.org/chat). Be safe and be in touch! |
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