Notebooks with Org Babel

Org Babel turns an ordinary .org file into a notebook: prose, executable source blocks, and their captured output in one plain-text document that diffs, greps, and merges like any other file. Jotain configures it in lisp/init-org.el for that workflow specifically — languages preloaded, evaluation prompt made unobtrusive, plots redisplayed after every run. Nothing here is a separate mode. You are in org-mode the whole time.

The loop

Write a block, put point in it, press C-c C-c:

#+begin_src python
print(sum(range(10)))
#+end_src

#+RESULTS:
: 45

The #+RESULTS: block is written back into the buffer, so results are part of the document and survive a restart. C-c C-c on a block that already has results replaces them. Type <py then TAB to insert an empty Python block — org-tempo has entries for the languages this config actually runs. C-c ' opens the block in a real major-mode buffer with LSP, formatting, and everything else you get in a standalone file; C-c ' again returns.

The `C-c b` prefix

Cell-at-a-time is C-c C-c. Everything wider than one block is under C-c b in Org buffers:

Key	Command	What it does
`C-c b b`	`org-babel-execute-buffer`	Run every block in the file, top to bottom
`C-c b e`	`org-babel-execute-subtree`	Run every block under the current heading
`C-c b r`	`jotain-org-babel-restart-session-and-execute-buffer`	Kill the session of the block at point, then run the whole buffer — “restart kernel and run all”
`C-c b s`	`org-babel-switch-to-session`	Jump into the live REPL behind the block at point
`C-c b k`	`org-babel-remove-result-one-or-many`	Clear results; with a prefix arg, clear the whole buffer
`C-c b t`	`org-babel-tangle`	Write the blocks out to real source files

Org’s own C-c C-v babel map is untouched and still has everything else (C-c C-v v to expand a block, C-c C-v i to view header args, and so on).

Sessions

By default each block runs in a fresh process, so nothing carries over between them. Add :session to keep a live interpreter around, which is what makes an Org file behave like a notebook rather than a pile of scripts:

#+begin_src python :session notebook :results output
import pandas as pd
df = pd.read_csv("measurements.csv")
#+end_src

#+begin_src python :session notebook :results output
print(df.describe())
#+end_src

The second block sees df. C-c b s drops you into that interpreter to poke at state interactively; C-c b r throws it away and replays the file from the top, which is the reliable way to check that a notebook still runs end-to-end after you have been editing out of order. <jp TAB inserts a Python block with :session notebook :results output already filled in.

Results

:results decides what gets captured. The two that matter:

output — everything the block printed. This is Jotain’s default for Python, because the notebook habit is to print things and Org’s own default (value) shows nothing at all unless the block ends in a return.
value — the value of the last expression. Set it per block when you want a table or a number rather than a transcript.

A block that produces a table gets a real Org table back, which the rest of the document can reference by name:

#+name: totals
#+begin_src python :results value
return [["region", "n"], None, ["north", 41], ["south", 58]]
#+end_src

Plots

Write the figure to :file and Org inserts a link to it; the image is redisplayed automatically after every run, so re-running a cell updates the picture in place rather than leaving the previous one on screen.

#+begin_src python :session notebook :results file :file plot.png
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
plt.plot([1, 4, 9, 16])
plt.savefig("plot.png")
"plot.png"
#+end_src

Images are capped at 600px wide (org-image-actual-width) so a large figure does not push the text column off-screen. C-c C-x C-v toggles inline images if you want the raw links back.

Evaluation prompts and trust

Running a source block runs arbitrary code, so Org asks for confirmation by default — which is correct for a file someone sent you and unbearable for the notebook you are editing right now. Jotain replaces the blanket prompt with a trust check (jotain-org-babel-confirm-evaluate). A file is trusted when it lives either:

under org-directory — the notes tree, ~/notes by default, shared with org-capture, org-roam, and denote; or
inside the current project, as project-current sees it.

Trusted files evaluate straight away. Everything else — a downloaded .org, a mail attachment, a gist opened from a browser — still prompts on every block. To go back to Org’s stock behaviour:

(setopt org-confirm-babel-evaluate t)

Export

Export (C-c C-e) uses the results already in the buffer: org-babel-default-header-args sets :eval never-export, so producing an HTML or PDF copy never re-runs your code. What you see in the buffer is what gets published. Pass :eval yes on a block to opt it back into running at export time. The matching default is :exports both, so a block and its output both appear in the exported document. :exports results hides the code; :exports none hides both.

Tangling

C-c b t writes blocks out to real files, which is how a notebook graduates into a program:

#+begin_src python :tangle analysis/load.py
def load(path):
    ...
#+end_src

Indentation is preserved exactly as written (org-src-preserve-indentation), which is not Org’s default and is not optional for Python — Org’s re-indent-on-exit behaviour corrupts blocks where leading whitespace is syntax.

Languages

jotain-org-babel-languages in lisp/init-org.el lists what is enabled:

emacs-lisp  org
shell       eshell
python      C     R    haskell  js  css
sql         sqlite
awk         sed   calc
dot         gnuplot     latex

Every entry is backed by an ob-LANG library that ships with Org itself, so no source block depends on a package being installed. C covers C, C++ and D; shell covers bash, sh and the other shell dialects Org knows. A test (test/test-org-babel.el) requires each one, so a language that gets renamed or moved out to org-contrib during an Org bump fails CI rather than a C-c C-c months later. Enabling a language teaches Org how to run the block — it does not provide the interpreter. Python, R, gnuplot, dot and the rest come from the project’s own environment, the same way LSP servers do. Add one by editing the list:

(defconst jotain-org-babel-languages
  '(emacs-lisp org shell eshell python C R haskell js css
    sql sqlite awk sed calc dot gnuplot latex
    ruby))                               ; ← ob-ruby ships with Org

Python and IPython

init-lang-python.el points the Python REPL at ipython when it is on PATH, which gets you IPython’s completion, tracebacks and %magic in run-python and in :session blocks. When it is absent, python3 is used and nothing else changes. Blocks without a session always use plain python3 (org-babel-python-command), deliberately: a one-shot block handed an interactive ipython -i would wait for input instead of returning a result.

Structure templates

org-tempo expands <KEY + TAB. Jotain adds:

Key	Expands to
`<py`	`#+begin_src python`
`<jp`	`#+begin_src python :session notebook :results output`
`<sh`	`#+begin_src bash`
`<el`	`#+begin_src emacs-lisp`
`<sql`	`#+begin_src sql`
`<dot`	`#+begin_src dot :file diagram.png`

Org’s own entries (<s source, <q quote, <e example, and the rest) still work.

What this is not

This is Org Babel, not a Jupyter client. Blocks run through Org’s own ob-* backends and comint, so there are no Jupyter kernels, no .ipynb files, and no rich MIME output beyond images and tables. If you need actual kernels — a remote kernel, a language with no ob- backend, or .ipynb interchange — the emacs-jupyter package provides jupyter-python blocks alongside everything above. It is not included here because it needs the zmq dynamic module and a jupyter binary at runtime, neither of which this configuration ships. Long-running blocks also execute synchronously and will block Emacs. Use :session and a REPL you can watch (C-c b s) rather than waiting on a 30-minute C-c C-c.

Getting Started

Architecture

Configuration

Usage

Guides

Notebooks with Org Babel

Notebooks with Org Babel

The loop

The `C-c b` prefix

Sessions

Results

Plots

Evaluation prompts and trust

Export

Tangling

Languages

Python and IPython

Structure templates

What this is not

​Notebooks with Org Babel

​The loop

​The C-c b prefix

​Sessions

​Results

​Plots

​Evaluation prompts and trust

​Export

​Tangling

​Languages

​Python and IPython

​Structure templates

​What this is not

Notebooks with Org Babel

The loop

The `C-c b` prefix

Sessions

Results

Plots

Evaluation prompts and trust

Export

Tangling

Languages

Python and IPython

Structure templates

What this is not