Skip to main content

Clean looking engineering calculations for IPython

Project description

ipycalc

Simple Engineering Calculations in Python

Turn the contents of a Jupyter cell into a formatted calculation by following the steps below:

  1. Install ipycalc using pip install ipycalc
  2. Use from ipycalc import calc to bring ipycalc into your notebook's namespace.
  3. Use %%calc as the first line of a cell to indicate that you want to run ipycalc on the contents of a cell.

The basic calculation syntax is:

Variable Description: variable_name = python_expression -> result_decimal_places*result_unit # Reference Text

Key components of the ipycalc syntax are:

  • : (required) The description must come before this character.
  • = (optional) Used to assign a python expression to a variable name. Omit this if you simply want to reprint a previously defined variable.
  • -> (optional) Separates the python expression from the results formatting rules.
  • * (optional) Indicate the number of decimals you want to see in the result to the left of the *, and the units you want to see in the result to the right.
  • # (optional) Indicates reference text to the side of the calculation - handy for equation references or code references.

Here are a few useful things to keep in mind when using ipycalc:

  • Subscripts can be added by using the _ character to indicate the start of a subscript.
  • To stack fractions place the numerator and denominater in parentheses: (num)/(denom) yields $\dfrac{num}{denom}$.
  • If statements and else statements are available using python's inline if statement notation.
  • Square roots can be displayed using sqrt.
  • Prime characters can be displayed using ^prime.
  • If text gets to lengthy in your description or reference, you can add \\ to force a line break. This will help print lengthy lines within the page margins.
  • ipycalc assists you with printing your notebooks. It has a built in nbconvert template called ipycalc that works just like the webpdf template, except it fixes the the bad margins in the webpdf template, and avoids page breaks right after headers. Any cells tagged with hide_cell will not be rendered. Any cells tagged with hide_input will only show the output upon printing. You can select it from the file menu via "File -> Save and Export Notebook As... -> Ipycalc"

IPycalc is still in its infancy. I'm sure there are bugs, so be cautious and use your head. A special thanks to @connorferster for handcalcs which inspired this project: https://github.com/connorferster/handcalcs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipycalc-0.0.57.tar.gz (124.4 kB view details)

Uploaded Source

Built Distribution

ipycalc-0.0.57-py3-none-any.whl (132.5 kB view details)

Uploaded Python 3

File details

Details for the file ipycalc-0.0.57.tar.gz.

File metadata

  • Download URL: ipycalc-0.0.57.tar.gz
  • Upload date:
  • Size: 124.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for ipycalc-0.0.57.tar.gz
Algorithm Hash digest
SHA256 3072e9ba3cce2914667d4bdf7f42f704f433b81cd472d7daca574257a37a239c
MD5 82c7cf49057d0e96d2606be9e1228e88
BLAKE2b-256 c017d1f2ef84ec81610f74343703b6d4c57128bad433825c96ee701ccfc17719

See more details on using hashes here.

File details

Details for the file ipycalc-0.0.57-py3-none-any.whl.

File metadata

  • Download URL: ipycalc-0.0.57-py3-none-any.whl
  • Upload date:
  • Size: 132.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for ipycalc-0.0.57-py3-none-any.whl
Algorithm Hash digest
SHA256 5faa9920f27f438b29d16e2edcca7ddd76e83f11eb2c5a3c95dd8eb44c51a384
MD5 13a60dbfae6085777fede0fc84cfc675
BLAKE2b-256 5bffedd0a5d7bd6e6a6c70d7de45ba89933021b103bf977dee695030787b3e44

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page