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Dev tools · June 27, 2019

KB

Kyso – blog your data-science

Hi HN, We're the founders of Kyso (https://kyso.io), we want to make it really easy for data-scientists to be able to blog and share their work. Think of it like medium for data-science. For readers you can discover and nerd out on data stories. For data-scientist you can make a portfolio of charts, Jupyter notebooks and R notebooks. We support javascript plots - Bokeh and Plotly work, and you can integrate with Github. For teams, we offer a private area, which works similar to Airbnb's knowledge-repo, where the data-scientists in a company can post their analysis for the entire…

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What it does

In the maker’s words, at launch

Hi HN, We're the founders of Kyso (https://kyso.io), we want to make it really easy for data-scientists to be able to blog and share their work. Think of it like medium for data-science. For readers you can discover and nerd out on data stories. For data-scientist you can make a portfolio of charts, Jupyter notebooks and R notebooks. We support javascript plots - Bokeh and Plotly work, and you can integrate with Github. For teams, we offer a private area, which works similar to Airbnb's knowledge-repo, where the data-scientists in a company can post their analysis for the entire company to read. We did a Launch HN two years ago - but since then we've gone through Techstars NYC and pivoted twice, but now we are growing fast with over 50,000 readers per month on Kyso articles. Here are some example posts on Kyso to show you what we mean: - [Global Warming since 1850, Month by Month](https://kyso.io/KyleOS/temperature) - [Impact of Nuclear Incidents on Perceptions Globally](https://kyso.io/helenadomo/world_nuclear_plants) - [The Rise of Online Dating](https://kyso.io/KyleOS/dating) We'll be here for the next few hours so are super happy to answer any questions you have! Cheers, Eoin, Helena and Kyle from Kyso

Does the same job

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  • Kyso2019 · ▲115

    Blog your data science

  • KA
    Kyso – an easy way to share Jupyter notebooks2017 · ▲117

    Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!

  • KP
    Kyso – Publish Your Jupyter Notebooks as Blog Posts2018 · ▲22

    Hi HN - the founders of kyso here. Kyso (https://kyso.io) is a blogging platform for data science. We render your jupyter notebooks, including all code, interactive visualisations and rich markdown, as awesome data blogs. Upload existing notebooks, import your repos from Github and start brand new Jupyterlab environments in the cloud, all for free. And then publish and share your blogs with the community! Have a look here for a few example posts on our platform: https://kyso.io/jamesle/fifa18…

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    Self-Published Book – “Data Science in Production”2020 · ▲172

    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

  • DA
    dstack – an open-source tool to build data applications easily2020 · ▲134

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

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    GitHub for research and data science

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