Clean looking engineering calculations for IPython
Project description
ipycalc
Engineering calculations in Jupyter, formatted for clear review and professional reports.
ipycalc helps engineers move from raw notebook math to readable, auditable calculations. Write equations in Python, add descriptions and references, and get polished output that is easier to check, share, and print.
Why Use ipycalc?
- Turn opaque code cells into presentation-ready engineering calculations.
- Keep the speed and flexibility of Python while improving readability.
- Add units, references, and notation in one place.
- Export cleaner PDFs with the built-in
nbconverttemplate. - Reuse project variables across notebooks without manual copy/paste.
If you already use Jupyter for design work, ipycalc helps close the gap between computation and documentation.
Quick Start
- Install:
pip install ipycalc
- Import in your notebook:
from ipycalc import calc
- Start a calc cell with
%%calc.
Basic Syntax
Variable Description: variable_name = python_expression -> result_decimal_places*result_unit # Reference Text
Example (flexural strength of a concrete beam):
Syntax Reference
:(required) Description appears before this character.=(optional) Assign a Python expression to a variable. Omit to reprint a previously defined variable.->(optional) Separates the expression from result formatting rules.*(optional) Set decimal places to the left and result units to the right.#(optional) Add right-side reference text (equation references, code references, notes).
Useful Notes
- Subscripts: use
_to indicate the start of a subscript. - Greek in expressions: write names directly (for example
epsilon). - Greek in descriptions/reference text: use Jupyter Markdown LaTeX (for example
$\epsilon$). psiis ambiguous with pressure units; use\grpsiwhen you need the Greek character.- Stacked fractions: wrap numerator and denominator in parentheses, for example
(num)/(denom)renders as $\dfrac{num}{denom}$. - Conditionals: use Python inline ternary notation.
- Square roots: use
sqrt. - Prime notation: use
^prime. - Manual line breaks: insert
\\where needed to avoid overflow in print layouts. - Printing:
ipycalcincludes annbconverttemplate namedipycalcthat behaves likewebpdf, but with improved margins and better page-break behavior after headers. - Numbered/sectioned printing: use the
ipycalc_numberedexporter to automatically number section headers (h2and below). This is useful for formal calculation packages where references to section numbers are required. - Tag a cell with one of the following tags to change the way it prints to PDF:
hide_cellexcludes the entire cell.hide_inputprints output only.
- In Jupyter, export with:
File -> Save and Export Notebook As... -> IpycalcFile -> Save and Export Notebook As... -> Ipycalc_numbered
- From the command line, you can also export with
jupyter nbconvert --to ipycalcorjupyter nbconvert --to ipycalc_numbered.
Sharing Variables Between Notebooks
ipycalc can save variables from one notebook and import them into another. This is useful for multi-notebook workflows, such as loads feeding into member design.
Saving variables:
from ipycalc import save_vars
save_vars('my_notebook.ipynb')
This writes user-defined variables (including pint quantities with units) to .ipycalc_vars/my_notebook.json in the notebook's directory. The notebook file itself is never modified.
Importing variables:
from ipycalc import import_vars
import_vars('my_notebook.ipynb') # import all saved variables
import_vars('my_notebook.ipynb', 'P', 'L') # import specific variables only
Both functions are also available directly inside a %%calc cell with no import statement required.
Variables are saved and loaded by filename only. Both notebooks must be in the same working directory.
Project Status
ipycalc is actively evolving. Validate results as part of your normal engineering QA process.
Special thanks to @connorferster and the handcalcs project for inspiration:
https://github.com/connorferster/handcalcs
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