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/

You might also like...

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

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.

pikepdf is a Python library for reading and writing PDF files.

Python PDF Parser (Not actively maintained). Check out pdfminer.six.

A python library for extracting text from PDFs without losing the formatting of the PDF content.

Performing the following operations using python on PDF.

Python script that split PDF files.

Python lib for Simple PDF text extraction

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

Simple python tool created for downloading PDF.

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

A bulk pdf generator. This application can generate PDFs in bulk by using just one click.

Compare-pdf - A Flask driven restful API for comparing two PDF files

Trata PDF para torná-lo compatível com PDF/X e com impressoras em escala de cinza.

pikepdf is a Python library for reading and writing PDF files.

Python lib for Simple PDF text extraction

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

Excalibur: A web interface to extract tabular data from PDFs

WeasyPrint is a smart solution helping web developers to create PDF documents.

A simple pdf size compressing telegram robot witten in python.

DietPDF aims at reducing PDF file size while not degrading quality nor losing metadata

this is simple program, that converts pdf file to png

Convert Lecture Videos to PDF

Python PDF Parser (Not actively maintained). Check out pdfminer.six.

Simple pdf editor while preserving structure and format.

A Python tool to generate a static HTML file that represents the internal structure of a PDF file

Converting Html files to pdf using python script, pdfkit module and wkhtmltopdf.

minipdf is a package for creating simple, single-page PDF documents.

PyPDF2 is a pure-python PDF library capable of splitting, merging together, cropping, and transforming the pages of PDF files.

Simple python tool created for downloading PDF.

Split given PDF document into 4 page groups and convert them to booklet format