The easiest way to document your python library with jupyter and markdown.
Pleaes note jupydocs is currently under active development.
It can be used for testing, but should not be used for deployment.
It will change!
Installation
pip install jupydocs
Quickstart
from jupydocs.numpydocstring import NumpyDocString
def custom_sum(x, y):
"""A new take on the class `sum` function.
Does 1 + 1 always need to equal 2? Not anymore! Thanks to the `custom_sum`
function 1 + 1 will never equal 2 again.
Parameters
----------
x : float
A number.
y : float
A number.
Returns
-------
num : Float
A new take on the traditional sum function. x * 2 + y * 3. Not at all
useful. But fun!
Example
-------
>>> from examplepackage.example import custom_sum
>>> custom_sum(2, 3)
13
"""
return x * 2 + y * 3
docstring = NumpyDocString(custom_sum)
docstring.render_md()
custom_sum
A new take on the class sum function.
Does 1 + 1 always need to equal 2? Not anymore! Thanks to the custom_sum function 1 + 1 will never equal 2 again.
Parameters
| NAME | TYPE | DESCRIPTION |
|---|---|---|
| x | float | A number. |
| y | float | A number. |
Returns
| NAME | TYPE | DESCRIPTION |
|---|---|---|
| num | Float | A new take on the traditional sum function. x * 2 + y * 3. Not at all useful. But fun! |
Example
>>> from examplepackage.example import custom_sum
>>> custom_sum(2, 3)
13
print(docstring.render_md(return_str=True))
## custom_sum
A new take on the class `sum` function.
Does 1 + 1 always need to equal 2? Not anymore! Thanks to the `custom_sum` function 1 + 1 will never equal 2 again.
### Parameters
| NAME | TYPE | DESCRIPTION |
|:-------|:-------|:--------------|
| x | float | A number. |
| y | float | A number. |
### Returns
| NAME | TYPE | DESCRIPTION |
|:-------|:-------|:---------------------------------------------------------------------------------------|
| num | Float | A new take on the traditional sum function. x * 2 + y * 3. Not at all useful. But fun! |
### Example
```python
>>> from examplepackage.example import custom_sum
>>> custom_sum(2, 3)
13
```
Metadata
Release files for jupydocs 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| jupydocs-0.1.2.tar.gz | 6.5 kB | Without provenance | Details for jupydocs-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jupydocs-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for jupydocs-0.1.2-py3-none-any.whl |
Total release size: 12.8 kB
Release files / jupydocs-0.1.2.tar.gz
| Download URL | jupydocs-0.1.2.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.4 CPython/3.7.6 Darwin/19.6.0
|
Release files / jupydocs-0.1.2-py3-none-any.whl
| Download URL | jupydocs-0.1.2-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9bc499b6c9db304db6cd0b461763fd8524cffcb03be2f2adb63357c00f29659c
|
|
BLAKE2b-256 checksum How to use checksums |
152e66c941f33588b4b8223513d38dcfce921c50f7568d1c504b408d1c24019d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.4 CPython/3.7.6 Darwin/19.6.0
|
Security for jupydocs 0.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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