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Description
An update by Kira McLean about some of the current community efforts at Scicloj.
Links:
Scicloj website: https://scicloj.github.io/
Dev & study groups: https://scicloj.github.io/docs/community/groups/
The past handbook project: https://github.com/scicloj/scicloj-data-science-handbook
The current cookbook project: https://github.com/scicloj/clojure-data-cookbook/blob/outline/outline-draft.md
A
Hello,
I'm
kira
and
I'm
here
with
a
brief
status,
update
from
the
closure
data
science
community.
So
first
I
just
want
to
share
a
little
bit
of
info
about
study
groups
that
we
have
on
the
go.
We
have
several
groups
that
meet
on
a
sort
of
regular
basis,
meaning
every
couple
weeks
or
every
month
or
so,
to
discuss
different
topics
related
to
working
with
data
in
closure.
A
So
one
of
the
older
groups
that
I've
been
helping
moderate
for
some
time
now
is
this
visual
tools
study
group.
So
this
is
just
the
cyclose
website
and
on
here
we
have
devon
study
groups.
So
this
visual
tools-
one-
has
been
meeting
regularly
for
a
few
months
now
since
february,
and
we
discuss
basically
data
visualization
and
literate
programming
in
closure.
A
So
a
lot
of
the
libraries
that
we
talk
about
are
listed
here
and
many
of
the
maintainers
and
authors
and
contributors
to
these
libraries
are
in
the
group
and
come
regularly
where
we
can
discuss
ongoing
development
and
problems.
People
might
be
having
or
projects
people
are
working
on.
So
each
meeting
is
a
little
bit
different
and
it
really
just
depends
what
people
are
interested
in
talking
about
that
week,
but
this
one
is
yeah
one
of
the
older
ones
and
has
been
going
on
for
some
time.
A
A
You
know
a
little
bit
less
than
the
summer
sometimes
and
has
a
very
similar
kind
of
concept
where
people
just
meet
and
talk
about
whatever
they're
working
on
except
the
topic
is
more
focused
on
sort
of
general
data
work
with
closure,
as
opposed
to
visualization,
specifically
so
there's
another
new
one.
This
one's
also
recently
started
up
joint
prob.
This
one
is
kind
of
exciting
because
it's
the
first
group
that
really
mixes
members
from
the
broader
data
science
community.
So
in
this
group
it's
mostly
discussing
probabilistic
statistics,
invasion
statistics.
A
So
this
one
is
an
interesting
group
and
it's
a
really
exciting
time,
because
it's
you
know
it's
really
useful
to
hear
from
the
wider
community
what
people
are
doing
and
how
people
are
working
with
data
and
how
closure
might
be
able
to
solve
some
of
their
problems
where
our
python
or
something
like
that
might
have
been
a
more
natural
choice.
So
this
one
also
just
recently
started
up
this
summer
and
is
really
exciting
and
promising
related
sort
of
to
that
kind
of
idea
of
broadening
the
community.
A
A
The
plan
for
this
course
is
to
meet
probably
about
once
a
month
starting.
This
fall
and
yeah
just
hear
what
people
are
working
on.
Go
over
a
little
bit
of
background
cover
sort
of
different
topic,
each
time
related
to
something
something:
enclosure
and
data.
I
guess
they
overlap
there
and
yeah.
There's
been
a
lot
of
interest.
There's
been
a
lot
of
exciting
sort
of
ideas
from
the
community
about
what
what
we
could
talk
about
and
how
this
could
be
useful.
A
So
this
is
another
one
to
keep
an
eye
on
and
all
of
these
communities
meet
regularly.
The
meetings
are
posted
in
pretty
much
all
of
the
closure
sort
of
channels,
so
the
closure
slack,
the
zulip
close,
reverse
twitter.
So
all
those
places
wherever
you
follow
sort
of
closure
news.
Hopefully
you
should
hear
about
it
and
yeah.
That's
a
good
segue
that
last
group
into
another
project,
that's
on
the
go
which
I'm
working
on
and
it's
this
closure
data
cookbook.
A
You
tend
to
get
kind
of
small,
isolated
libraries
which
are
really
nice,
but
these
libraries-
sometimes
it's
not
always
obvious
how
they
work
together.
So,
although
most
of
them
do
have
really
excellent
documentation,
it
tends
to
be
more
api,
doc
style
information,
with
kind
of
very
concrete
small
examples
for
using
a
particular
function
in
the
library,
as
opposed
to
combining
multiple
libraries
to
solve
a
bigger
data
science
problem,
and
so
that's
the
kind
of
thing
we're
hoping
to
build
with
this
this
project
here
and
it
builds
upon
some
previous
efforts
in
the
community.
A
So
some
people
might
be
familiar
with
this
cycle.
Data
science
handbook
project,
which
has
been
going
on
for
a
couple
years,
and
the
idea
with
this
was
to
basically
build
something
similar,
so
something
sort
of
along
the
lines
of
the
python
data
science
handbook
or
the
r
cookbook
that
exists
so
really
a
sort
of
example
based
reference
for
people
to
use
and
learn
how
to
use
the
different
libraries
that
are
available
for
for
their
problems.
A
So
this
closure
data
science
handbook
yeah,
like
I
said,
has
been
under
active
development
for
a
couple
years,
and
you
know
you
can
see.
There's
one
chapter
is
published
and
several
more
have
been
written,
but
talking
with
daniel
was
one
of
the
contributors
to
this.
At
the
time,
we
learned
a
couple
of
the
reasons
why
it
sort
of
fizzled
that
we're
hoping
to
address
and
and
do
differently
this
time
around.
A
A
So
the
idea
with
this
new
project
is
to
first
of
all
figure
out
the
tooling
situation
and
have
a
way
to
publish
it
that
is
easily
accessible
and
useful
and
obvious
how
to
get
running
yourself.
So,
ideally,
we'll
figure
out
some
sort
of
way
to
test
the
examples
to
make
sure
that
they're
up
to
date-
and
it
can
be
a
very
much
kind
of
a
live
resource.
A
So,
as
new
versions
of
libraries
come
out
and
new
versions
of
closure
come
out
will
be
able
to
keep
the
examples
up
to
date
and
hopefully
find
some
sort
of
some
sort
of
solution
that
that
works
for
most
people,
and
that
is
also
kind
of
easy
to
follow
and
easy
to
read.
So
this
is
one
of
the
topics
that
we
talk
about
a
lot
in
the
visual
tools
group.
A
Like
I
mentioned,
we
talk
about
literary
literate
programming
solutions,
enclosure
and
there
are
quite
a
few
newer,
interesting
projects
that
have
been
released
since
this
project
was
really
under
active
development.
So
there
are
some
promising
ideas
for
for
this
next
step
and
and
then
yeah.
The
other
thing
is
just
having
one
person
who,
in
this
case,
would
be
me
kind
of
with
a
high
level
view
of
the
project
and
kind
of
systematically
filling
it
out
and
figuring
out
what
what's
missing
so
yeah.
This
is
this
is
the
idea.
A
This
is
the
goal,
we're
hoping
this
could
also
serve
as
a
kind
of
resource
for
library
developers
and
people
who
who,
like
writing
code
better
than
the
documentation
to
see.
If
there
are
any
gaps
in
the
community,
so
we
have
all
these
things
that
we
know
data
people
need
to
do
or
people
working
with
data
need
to
do,
and
you
know
if
we
get
to
a
certain
section
and
it
turns
out
accomplishing
one
of
these
tasks
is
cumbersome
or
difficult.
A
A
The
the
grand
vision
ideally
is
to
really
kind
of
open
up
the
closure
data
ecosystem
and
show
people
that
it
can
be
a
really
viable
language
for
accomplishing
a
lot
of
really
common
data,
manipulation
and
data
science
kind
of
tasks,
and
so
hopefully,
this
book
can
provide
some
context
around
the
libraries.
Some
examples-
and
this
is
a
yeah.
This
is
a
style
of
teaching
that
I,
like
so
I've
done
workshops
in
the
past.