jupyter-translate 2024.0.1

A Python script for translating Jupyter notebook files.

Jupyter Translate: a Python script for translating Jupyter notebook files

[version 2024]

This script was created as a general-purpose translator for Jupyter notebooks, translating across different languages (the default source language is English). Install it with:

pip install jupyter_translate

After installed, you can use it but running the following command in the terminal:

jupyter_translate test_Notebook_en.ipynb --target pt

A new file named test_Notebook_en_pt.ipynb will be created (or the code of the language you decided to use). There is also a script for automatically translating all .ipynb files in a folder and its subfolders. Additionally, you can use a version of the script that converts from/to any language, like:

jupyter_translate test_Notebook_pt.ipynb --source pt --target en

The program translates markdown content, comments in code cells, and messages formatted in print(f" ... ").

Translator Options:

By default, jupyter-translate uses googletrans on its backend. However, you can specify a different translator using the --translator option. Here’s how to use it:

jupyter_translate test_Notebook_en.ipynb --target pt --translator='mymemory'

Currently supported translators are:

• google (default)
• mymemory

**Caution:** If you are using `mymemory` as backend translator, the language codes are different. The script will show you the codes. Make sure to specify the correct `--source` and `--target` language codes supported by the selected translator. The --language option can be set to any of the following (codes from default `googletrans`:

Code	Language	Code	Language	Code	Language	Code	Language
af	afrikaans	sq	albanian	am	amharic	ar	arabic
hy	armenian	az	azerbaijani	eu	basque	be	belarusian
bn	bengali	bs	bosnian	bg	bulgarian	ca	catalan
ceb	cebuano	ny	chichewa	zh-cn	chinese (simplified)	zh-tw	chinese (traditional)
co	corsican	hr	croatian	cs	czech	da	danish
nl	dutch	en	english	eo	esperanto	et	estonian
tl	filipino	fi	finnish	fr	french	fy	frisian
gl	galician	ka	georgian	de	german	el	greek
gu	gujarati	ht	haitian creole	ha	hausa	haw	hawaiian
iw	hebrew	hi	hindi	hmn	hmong	hu	hungarian
is	icelandic	ig	igbo	id	indonesian	ga	irish
it	italian	ja	japanese	jw	javanese	kn	kannada
kk	kazakh	km	khmer	ko	korean	ku	kurdish (kurmanji)
ky	kyrgyz	lo	lao	la	latin	lv	latvian
lt	lithuanian	lb	luxembourgish	mk	macedonian	mg	malagasy
ms	malay	ml	malayalam	mt	maltese	mi	maori
mr	marathi	mn	mongolian	my	myanmar (burmese)	ne	nepali
no	norwegian	ps	pashto	fa	persian	pl	polish
pt	portuguese	pa	punjabi	ro	romanian	ru	russian
sm	samoan	gd	scots gaelic	sr	serbian	st	sesotho
sn	shona	sd	sindhi	si	sinhala	sk	slovak
sl	slovenian	so	somali	es	spanish	su	sundanese
sw	swahili	sv	swedish	tg	tajik	ta	tamil
te	telugu	th	thai	tr	turkish	uk	ukrainian
ur	urdu	uz	uzbek	vi	vietnamese	cy	welsh
xh	xhosa	yi	yiddish	yo	yoruba	zu	zulu
fil	Filipino	he	Hebrew

Other options:

--delay:
The delay in seconds between retries in case of connection issues. The default is 10 seconds. Adjusting this can help if you're facing connectivity issues, especially behind firewalls.

jupyter_translate my_notebook.ipynb --target es --delay=15

--rename:
If specified, this option will rename the original notebook file after the translation is complete. This can be useful if you want to keep the translated version as the primary file.

jupyter_translate my_notebook.ipynb --target es --rename

--print:
Use this option if you want to print the translations directly to the console as they happen.

jupyter_translate my_notebook.ipynb --target es --print

Implementation notes:

To set up a working Conda environment to use this tool, you must install a newer version of deep-translator via pip, as well as a few other libraries. You can do this with the included environment file. In your terminal, enter:

conda env create --file environment.yml
conda activate jtranslate

You can also reset the environment by running:

conda deactivate
conda remove --name jtranslate --all
conda env create -f environment.yml
conda activate jtranslate

Note: Copy and execute each line one by one—do not run them as a block. Caution: The googletrans API, as used by deep-translator, may face connectivity issues if you're behind a firewall. To improve accessibility in such environments, consider using the --delay option to introduce a pause between retries.

If you have any question or suggestion, use the pull request or discussion option in github.