Merge branch 'master' of github.com:iterative/dvc.org

content/blog/2020-03-31-reimagining-devops-video.md

@@ -16,6 +16,7 @@ tags:
   - CI/CD
   - DevOps
   - MLOps
+  - DivOps
 ---
 
 Last week, DVC was part of [DivOps](https://divops.org/), a fully remote

content/blog/2020-04-06-april-20-dvc-heartbeat.md

@@ -0,0 +1,172 @@
+---
+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
+---
+
+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.
+
+## News
+
+**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.
+
+![](/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/)._
+
+**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.
+
+**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.
+
+<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"/>
+
+## New releases
+
+This month, DVC has
+[released some new features](https://github.com/iterative/dvc/releases) and
+updates:
+
+- 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.
+
+## From the community
+
+**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))!
+
+<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"/>
+
+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!
+
+**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.
+
+<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"/>
+
+**Some more links we like.** Here are a few other discussions that have caught
+our attention.
+
+- **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:
+
+  > 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.
+
+- **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.
+
+- **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.
+
+![](/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)._
+
+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!

content/docs/command-reference/run.md

@@ -9,7 +9,7 @@ command and execute the command.
 usage: dvc run [-h] [-q | -v] [-d <path>] [-o <path>] [-O <path>]
                [-p <params>] [-m <path>] [-M <path>] [-f <filename>]
                [-w <path>] [--no-exec] [-y] [--overwrite-dvcfile]
-               [--ignore-build-cache] [--remove-outs] [--no-commit]
+               [--ignore-build-cache] [--no-commit]
                [--outs-persist OUTS_PERSIST]
                [--outs-persist-no-cache OUTS_PERSIST_NO_CACHE]
                [--always-changed]
@@ -162,10 +162,6 @@ data pipeline (e.g. random numbers, time functions, hardware dependency, etc.)
   command's code is non-deterministic (meaning it produces different outputs
   from the same list of inputs).
 
-- `--remove-outs` (_deprecated_) - remove stage outputs before executing the
-  `command`. If `--no-exec` specified outputs are removed anyway. See
-  `dvc remove` as well for more details. **This is the default behavior.**
-
 - `--no-commit` - do not save outputs to cache. A DVC-file is created and an
   entry is added to `.dvc/state`, while nothing is added to the cache.
   (`dvc status` will report that the file is `not in cache`.) Use `dvc commit`