Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python.

Last update: Jul 13, 2022

Related tags

PDF Files Processing zen_knit

Overview

About Zen-Knit:

Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python. Inspired from Pweave. Zen-Knit is good for creating reports, tutorials with embedded python

Features:

Python 3.6+ compatibility
Support for IPython magics and rich output.
Execute python code in the chunks and capture input and output to a report.
Use hidden code chunks, i.e. code is executed, but not printed in the output file.
Capture matplotlib graphics.
Evaluate inline code in documentation chunks marked using `{ }
Publish reports from Python scripts. Similar to R markdown.
integrate it in your process. It will fit your need rather than you need to adjust for tool.

Install

From PyPi:

pip install --upgrade zen-knit

or download the source and run:

python setup.py install

License information

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

How to Use it

pip install zen-knit

knit -f doc/example/html_example.pyz -ofd doc/example/output/

knit -f doc/example/pdf_example.pyz -ofd doc/example/output/

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Comments

Mac MathExtension error with MacTex
I recieve the error TypeError: MathExtension.extendMarkdown() missing 1 required positional argument: 'md_globals'

when attempting to knit the following file:

--- date: CURRENT_DATE output: format: html html: css: skleton --- # Header Text ```{run=true, echo=true, render=true} print(2) ```

I pip installed zen-knit into a conda environment, brew installed pandoc, and installed MacTex via the pkg installer.

MacOS 12.4

Any suggestions for what might be going wrong?
opened by marcel-goldschen-ohm 2

Performing the following operations using python on PDF.

x-ray is a Python library for finding bad redactions in PDF documents.

0.2.5(Apr 17, 2022)

.py integration
Source code(tar.gz)
Source code(zip)
0.2.2(Feb 9, 2022)

Source code(tar.gz)
Source code(zip)
0.2.1(Feb 5, 2022)

Source code(tar.gz)
Source code(zip)
0.2.0(Feb 2, 2022)

Source code(tar.gz)
Source code(zip)

0.1.9(Jan 15, 2022)

allowing to pass latex_header in pdf

example:

title: Zen Markdown Demo
author: Dr. P. B. Patel
date: CURRENT_DATE
output: pdf
latex_header: \usepackage{booktabs}

Source code(tar.gz)
Source code(zip)

0.1.8(Jan 9, 2022)

Source code(tar.gz)
Source code(zip)
0.1.7(Jan 5, 2022)

Source code(tar.gz)
Source code(zip)

Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python.

Related tags

Overview

About Zen-Knit:

Features:

Install

License information

How to Use it

You might also like...

This book will take you on an exploratory journey through the PDF format, and the borb Python library.

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Comments

Mac MathExtension error with MacTex

Releases(0.2.5)

0.2.5(Apr 17, 2022)

0.2.2(Feb 9, 2022)

0.2.1(Feb 5, 2022)

0.2.0(Feb 2, 2022)

0.1.9(Jan 15, 2022)

0.1.8(Jan 9, 2022)

0.1.7(Jan 5, 2022)

Owner

Zen Reportz

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Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python.

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