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What is Scicloj?
Scicloj is a community project that helps Clojure grow into new fields, chiefly data science and scientific computing. It works on three fronts: building a data-science stack of tools and libraries for Clojure, running study groups and workshops with learning resources, and hosting open-source dev groups and mentoring for newcomers. Its audience is twofold: Clojurians who want to do data science, and data scientists curious about Clojure. See Scicloj for events and current activity.
A useful next step depends on which side you are on. If you already write Clojure and want to analyze data, start with the study-group and workshop materials rather than the library stack, since the learning resources are aimed at exactly that transition. If you come from Python or R and want to see how Clojure handles data work, the dev groups and mentoring path is the lower-commitment entry: you can join an existing open-source project and learn the ecosystem in context instead of evaluating libraries in isolation.
The trade-off is maturity and reach. A community-driven stack in a smaller ecosystem will have fewer ready-made libraries, fewer tutorials and a thinner hiring pool than the mainstream Python data-science world, so expect to read source and ask questions in group channels. In exchange, you get a platform where the people building the tools are the same people teaching them, which shortens the distance between learning and contributing. If you need a production-ready pipeline next month, that is a reason to be cautious; if you want to help shape tooling while learning, it is a reason to get involved early.
How can I get started learning data science with Clojure through Scicloj?
Start with Scicloj's learning resources and study groups, then join an open-source dev group once you can read and write basic Clojure data code. Scicloj describes itself as building a data-science and scientific-computing stack for Clojure, and it runs study groups and workshops for two overlapping audiences: Clojurians moving into data science, and data scientists moving into Clojure. That framing matters, because it tells you the entry point depends on which side you are starting from.
A practical first path
- Pick your starting side. If you already know Clojure, go straight to the data-science study materials and workshops. If you already know data science (pandas, R, notebooks), use the same resources but expect to spend extra time on Clojure basics and the REPL workflow first.
- Follow the events calendar. Scicloj points people to the Clojure Events Calendar feed for its sessions. Study groups and workshops are the lowest-friction way in, because you get a schedule and other learners rather than a pile of links.
- Work through learning resources alongside a small dataset. Choose one modest dataset you already understand and redo an analysis you have done before in another language. This isolates the new part — Clojure and its libraries — from the domain part.
- Join a dev group. Scicloj is explicitly a platform for open-source dev groups to meet, collaborate, and pool knowledge. Once you can follow code, this is where you learn how the stack is actually used.
- Take the open-source mentoring route. Scicloj says it encourages newcomers into open-source projects and supports them through the journey. That is the natural next step after a study group, and it converts learning into contributions.
Choosing between the two entry points
| Your background | Best first move | Main trade-off |
|---|---|---|
| Comfortable with Clojure | Data-science study group or workshop | You may need to unlearn habits from notebook-centric tools |
| Comfortable with data science, new to Clojure | Learning resources plus a workshop, with deliberate Clojure practice | Slower start; library idioms and REPL-driven work take time |
| New to both | Study group with a fixed weekly rhythm | Highest effort; progress depends on consistent practice |
A concrete example: if you have analysed CSV sales data in Python before, load the same file in Clojure, compute a few grouped summaries, and plot one chart. When that works, bring your questions to a study group session — specific problems get better help than "where do I start".
For background on the language itself, the official Clojure site covers installation and the REPL, and ClojureDocs is useful for looking up core functions as you read example code.
What tools and libraries does Scicloj provide for data science and scientific computing in Clojure?
Scicloj describes itself as building "a set of tools and libraries for data-science and scientific computing in Clojure," but its page does not name individual libraries or list their capabilities. What the page does describe is the surrounding structure: a data-science stack, study groups and workshops with learning resources, open-source dev groups, and mentoring for newcomers. So the honest answer is that Scicloj's offering is a stack plus a community and learning program, and the specific tool names need to be found in the project's own repositories and documentation rather than inferred from the introduction.
What the page supports
- A data-science stack for Clojure, aimed at data science and scientific computing work.
- Learning resources and study groups for two audiences: Clojurians moving into data science, and data scientists moving into Clojure.
- Dev groups where open-source projects meet and collaborate.
- Open-source mentoring for people joining projects.
How to use this as a reader
If you are a Clojure developer curious about data analysis, the study groups and workshops are the lower-risk entry point, since they pair resources with other learners. If you already work in Python or R and are evaluating Clojure, the relevant question is whether the stack covers your daily tasks—dataframes, plotting, numerical routines, notebooks—and that requires checking the actual library list, which this page does not provide. If you want to contribute rather than consume, the dev groups and mentoring track fit better than the learning resources.
A practical next step
Treat the page as a map of programs, not a catalogue. Start from Scicloj to find the current stack and event calendar, and compare against Clojure for the language fundamentals if you are new to the ecosystem. For the scientific-computing side, ClojureVerse is a reasonable place to see what practitioners actually discuss day to day. A useful decision criterion: choose Scicloj's learning track if you need guidance and peers, and go straight to the libraries if you only need to confirm feature coverage before committing.
How can I join a Scicloj study group or workshop?
Start with the Clojure Events Calendar feed linked from the Scicloj homepage: study groups and workshops are announced there, and that feed is the most direct route to a current session. Check it before committing to a learning plan, since a group only helps if a relevant session is running.
What to look for on the site
- Events feed — the calendar linked from the homepage, where upcoming study groups and workshops appear.
- Study groups and workshops — Scicloj describes these as its learning track, aimed both at Clojurians moving into data science and at data scientists moving into Clojure.
- Dev groups — open-source groups that meet to collaborate; a good second step once you have attended a session or two.
- Open-source mentoring — the route for newcomers who want to contribute to projects with guidance along the way.
- Get involved — the homepage prompt that gathers these entry points.
A practical sequence
- Open the events feed and note any session matching your level.
- Attend one session before choosing a track; the split between "Clojurian learning data science" and "data scientist learning Clojure" matters more than it looks.
- After a session, ask in that group about the dev group or mentoring path closest to your interests.
If you are choosing between Scicloj and a general Clojure community, the distinction is focus: Scicloj is explicitly oriented toward data science and scientific computing rather than general language learning. For broader Clojure material, Clojure covers the language itself, and ClojureDocs is useful for looking up functions between sessions.
How does Scicloj support newcomers in contributing to open-source Clojure projects?
Scicloj supports newcomers through an open-source mentoring effort: it encourages people to join open-source projects and helps them along the way, rather than leaving them to find a first issue alone. The site also frames this as part of a broader platform where open-source dev groups meet and collaborate, so a newcomer can plug into an existing group instead of starting from scratch.
Concretely, that support shows up in several forms described on the page:
- Open-source mentoring — guidance for newcomers joining projects and staying with them through the journey.
- Dev groups — a place for open-source groups to meet and build shared knowledge, which gives newcomers a low-pressure entry point.
- Study groups and workshops — learning resources aimed at Clojurians moving into data science and at data scientists moving into Clojure, which builds the skills needed to contribute.
- A data science stack — tools and libraries newcomers can contribute to, giving the mentoring a concrete target.
A useful next step: if you are new to open source, pick one dev group working on a library in the Scicloj data-science stack, attend a session, and ask the maintainers which small task suits a first contribution. As a rule of thumb, choose a group whose meetings you can attend regularly — steady presence matters more than prior Clojure experience.
For complementary community channels, the Clojure community itself is active at Clojure and discussions often happen on ClojureVerse.
How can I find Scicloj events and dev group meetings?
Scicloj points people to its events through the Clojure Events Calendar feed, which is the place to check for upcoming sessions. For dev group meetings specifically, Scicloj describes itself as a platform where open-source dev groups meet and collaborate, so the events feed is the practical starting point for finding those gatherings.
A sensible next step
- Open Scicloj and follow the link to the Clojure Events Calendar feed.
- Scan for entries labelled as study groups, workshops or dev group sessions, since Scicloj runs all three.
- Pick one session that matches your level: study groups and workshops are aimed at Clojurians moving into data science and at data scientists moving into Clojure, while dev groups suit people who want to contribute to open-source work.
Choosing between the two
| If you want to… | Look for |
|---|---|
| Learn the data-science stack in Clojure | Study groups and workshops |
| Collaborate on open-source code with others | Dev group meetings |
| Get help starting in open source | Open-source mentoring tied to a project group |
If you are new to the ecosystem, a study group is usually the gentler entry; dev group meetings assume you want to write and discuss code with a project team. Either way, subscribe to the calendar feed rather than checking back manually, so you see schedule changes.
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