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Domino Data Lab
Company blog · blog.dominodatalab.comdataai
Domino Data Lab is the company blog at blog.dominodatalab.com, writing about data and ai. Since 2014, 37 different Hacker News readers have linked it 467 times, most often “Advanced Jupyter Notebook Tricks (2015)”. It is still writing: the last post was on 2026-06-24, and you can follow it by feed.
The Domino Data Lab blog covers data science, machine learning, MLOps, and generative AI with tutorials, industry insights, and enterprise AI best practices.
Most-linked posts?
- Advanced Jupyter Notebook Tricks (2015)4 people · 5 mentions · first linked 2016-07-15
- Providing Digital Provenance: From Modeling Through Production [video]3 people · 4 mentions · first linked 2016-07-09
- Data Science vs. Engineering: Tension Points3 people · 4 mentions · first linked 2018-12-16
- How Machine Learning Amplifies Inequality in Society3 people · 3 mentions · first linked 2016-04-28
- Fitting Gaussian Process Models in Python3 people · 3 mentions · first linked 2017-03-08
- Advanced Jupyter Notebook Tricks – Part I3 people · 3 mentions · first linked 2015-11-15
- The Data Science Maturity Model2 people · 4 mentions · first linked 2016-11-22
- Comparing the Functionality of Open Source Natural Language Processing Libraries2 people · 4 mentions · first linked 2019-04-08
- Using Apache Spark to Analyze Large Neuroimaging Datasets2 people · 3 mentions · first linked 2016-08-25
- [video] 23 Data Visualizations and When to Use Them2 people · 3 mentions · first linked 2016-12-05
What Hacker News says?
- nl · 2017-04-04
Spark-like environments where not all packages are available in Pyspark and you need to move between native Scala/spark and Pyspark. What exactly do you mean here? Are you referring to the parts of Spark which don't currently have a Python API? Because those are becoming smaller and smaller. There is also Jupyter magics to let you change languages within a notebook. See %Rpush and %RPull from [1]. Not sure if there…
Comment linking /lesser-known-ways-of-using-notebooks/
on “Jupyter Notebook 5.0” Submitted You Can’t Do Data Science in a GUI as a story · 259 points
HN discussionFor a data science flavor, see https://blog.dominodatalab.com For web dev, Netlify posts frequently and even has podcasts: https://www.netlify.com/blog/
Comment linking /
on “Ask HN: Which companies have the best blogs written by their engineering team?”Submitted Data Science at The New York Times as a story · 185 points
HN discussion- nl · 2016-07-15
You can actually use R and Python in the same notebook. See https://blog.dominodatalab.com/lesser-known-ways-of-using-no... The %Rpush and %Rpull magics are what you need. Also, if you are using Spark, then Apache Toree[1] lets you use Python, R, Scala and SQL in the same notebook against Spark[2]. [1] https://toree.incubator.apache.org/documentation/user/how-it... [2] https://github.com/ibm-et/spark-kernel/wiki/Lan…
Comment linking /lesser-known-ways-of-using-notebooks/
on “JupyterLab: the next generation of the Jupyter Notebook” Submitted R vs. Python for Data Science [video] as a story · 159 points
HN discussionFull disclosure: I work in marketing at Domino. Domino offers prebuilt deep learning environments on its data science platform. Tensorflow, PyCUDA, Theano, H2O, a variety of R deep learning packages, and many other tools are available. The environments run on Amazon's Nvidia GRID and Tesla instances. This post is a little old but will give you an idea as to what you can accomplish: http://blog.dominodatalab.com/gpu-…
Comment linking /gpu-computing-and-deep-learning/
on “Setting Up a Deep Learning Machine from Scratch”Submitted Natural Language in Python Using SpaCy: An Introduction as a story · 110 points
HN discussion> Sure, and if you need to use another language from your Jupyter notebook, you can't. Not entirely true, BTW. https://blog.dominodatalab.com/lesser-known-ways-of-using-no...
Comment linking /lesser-known-ways-of-using-notebooks/
on “Jupyter, Mathematica, and the Future of the Research Paper”Submitted An Introduction to Model-Based Machine Learning as a story · 108 points
HN discussion- nl · 2017-09-06
They do model/feature storage and versioning just fine. Or at least Luigi does - I use it daily. And feature extraction and modelling is my main usecase. It works really well, across Spark, Scikit and R, saving data in HDFS. Some examples: https://blog.dominodatalab.com/luigi-pipelines-domino/ http://blog.richardweiss.org/2016/10/13/kaggle-with-luigi.ht... https://github.com/Atreya22/luigi_rosmann_sales
Comment linking /luigi-pipelines-domino/
on “Michelangelo: Uber’s Machine Learning Platform” Submitted Deep Learning Illustrated: Building Natural Language Processing Models as a story · 105 points
HN discussionThe submitted article was https://blog.dominodatalab.com/data-scientist-programmer-mut... with the title "Data Scientist? Programmer? Are They Mutually Exclusive?" Since it summarizes a talk, we changed the URL to that of the talk, in keeping with the HN guidelines' request for original sources ( https://news.ycombinator.com/newsguidelines.html ).
Comment linking /data-scientist-programmer-mutually-exclusive/?r=1
on “You Can’t Do Data Science in a GUI”Submitted A Benchmark for Streaming Anomaly Detection as a story · 102 points
HN discussionI just googled it, I don't know a lot about Jupyter, but yes: http://blog.dominodatalab.com/lesser-known-ways-of-using-not... http://ipython.readthedocs.org/en/stable/interactive/magics....
Comment linking /lesser-known-ways-of-using-notebooks/
on “Julia Computing Granted $600k by Moore Foundation”Submitted Using Bayesian Methods to Clean Up Human Labels as a story · 85 points
HN discussionI do not have any specific recommendations, aside from this guide to start: https://blog.dominodatalab.com/creating-interactive-crime-ma...
Comment linking /creating-interactive-crime-maps-with-folium/
on “Leaflet – A JavaScript library for mobile-friendly interactive maps”Submitted Deep Reinforcement Learning as a story · 76 points
HN discussionI think that depends on what you mean; Jupyter lets you run magic[0] commands (run bash commands in subprocesses), and there's also a bash kernel[1]. [0]: https://blog.dominodatalab.com/lesser-known-ways-of-using-no... [1]: https://github.com/takluyver/bash_kernel
Comment linking /lesser-known-ways-of-using-notebooks/
on “Data Science at the Command Line”Submitted Clustering in R as a story · 57 points
HN discussionFull Disclosure, I am the Chief Data Scientist of Domino Data Lab ( https://www.dominodatalab.com ), a company that builds tools for collaboration/scaling of data science a quantitative research teams. I spoke about our view on data provenance at UseR! 2016 and if you're curious you can watch the video here https://blog.dominodatalab.com/providing-digital-provenance-... . The rest of this comment is not about reprod…
Comment linking /providing-digital-provenance-modeling-production/
on “Data Science Workflow: Overview and Challenges”Submitted R in Ecology as a story · 56 points
HN discussionInteresting talk on the subject from a data scientist at Instacart: https://blog.dominodatalab.com/data-science-instacart/
Comment linking /data-science-instacart/
on “The software routing 260,000 grocery deliveries a week”Submitted R in Ecology as a story · 56 points
HN discussion404. Correct URL: http://blog.dominodatalab.com/topic-modeling-in-sept-11-news...
Comment linking /topic-modeling-in-sept-11-news-articles/
on “Topic modeling in 9/11 news articles”Submitted “Joel Test” for Data Science as a story · 54 points
HN discussionOne approach is to convert the code to use parallelism. For an example of how to do it in Python using joblib see this article: http://blog.dominodatalab.com/simple-parallelization/ Even if you can't afford a 32-core instance, you might get to use 4 cores in your laptop.
Comment linking /simple-parallelization/
on “What do Data Scientists use to train models fast?”Submitted Using Apache Spark to Analyze Large Neuroimaging Datasets as a story · 52 points
HN discussionSubmitted Domino raises $10.5M in funding for collaborative, reproducible data science as a story · 45 points
HN discussionSubmitted A Practitioner’s Guide to Deep Learning with Ludwig as a story · 44 points
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