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**Scicloj** is an open, free and dynamic hub for building a Clojure ecosystem for **data science**, **scientific computing** and **data engineering**.
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**Scicloj** is an open source group and community building project. It focuses on helping Clojure grow into new fields, use cases, and professions.
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In short, it is for anyone who is interested in using Clojure to work with data.
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While it began with a narrow focus on data science and scientific computing, throughout the years, it expanded its scope to the broader problem of Clojure growth.
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There are various places where activities move forward (for more info check the [Where](#where) section), and they are all open to discussion and contribution.
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## Who
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We are Clojurians coming from very different backgrounds and with very different levels of knowledge around Clojure and data science who share a common goal: making Clojure and data science better by combining them.
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We are Clojurians coming from very different backgrounds and with very different levels of knowledge around Clojure, data, science, and other domains.
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Everyone is welcome to contribute, to consume and to use **Scicloj** however they like.
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## Why
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A few people met on the internet one day and they all shared the same thought: Clojure is great, data science is cool, let's put them together to make a crying rainbow of awesomeness! The first issues encountered led to a couple of revelations: Clojure is indeed cool, but data science relies heavily on FOSS libraries and tools that in Clojureland are all scattered around and usually poorly documented.
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As data practitioners, we wish our work to be simple and easy. We wish to have elegant and dynamic ways to expess ourselves, explore, and build robust systems. Functional programming and Lisp offer promising ideas to support that, and these ideas meet in quite a pragmatic way -- and in harmony -- in Clojure.
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**Scicloj** is an umbrella for libraries, tutorials, ideas and open discussion trying to move further the idea that not only data science is possible with Clojure, but it can be a very nice experience as well (and it just works!).
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While Clojure already offers the common needs for typical data problems, it surely needs to keep growing with the depth and breadth of diverse domains, use cases, and communities.
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Making that happen is a technical challenge as well as a social one. It requires persistent work of open-souce collaboration and community buiilding.
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## How
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**Scicloj**tries to create broad discussions, where community members can reason together about their common goals.
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**Scicloj**creates broad discussions, where community members can reason together about their common goals.
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At the same time, it maintains dedicated task groups that can have discussion around certain topics, such as: machine learning, wrapping useful data science libraries for use with Clojure, writing tutorials, organizing the community, editing the **Scicloj** website, and more.
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At the same time, it maintains dedicated task groups that can have discussion and collaboration around certain topics.
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In addition to textual, everyday discussions, **Scicloj** encourages meetings in small groups, as well as larger gatherings.
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In addition to textual, everyday discussions, **Scicloj** encourages meetings in small groups, as well as larger gatherings.
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