Discover how to manipulate PDFs using Python. Gain hands-on experience with real-life scenarios and broaden your knowledge in handling and processing PDF files efficiently.

PDF Management Using Python_468 x 60 copy.png

mypdftoolbox.tar.gz

pdf_compare

pdf_did_metadata

pdf_xmp_metadata

pdf_compute_checksum

pdf_merger

pdf_pages_splitter

pdf_pages_rotator

pdf_pages_remover

pdf_pages_shuffler

pdf_pages_watermarker

pdf_convert2img

pdf_extract_tables

pdf_extract_images

pdf_extract_links

pdf_annotator

pdf_redactor

pdf_parser

pdf_convert2docx

pdf_convert2pptx

pdf_compress

pdf_secure

pdf_crack

pdf_create

pdf_sign

pdf_scan

pdf_comment

pdf_compare_files

pdf_attach

pdf_extract_attachments

pdf_embed_js

pdf_change_rights

This course will provide you with hands-on experience in PDF manipulation using the Python programming language. It integrates the most common real-life scenarios into its proceedings and supplies you with a framework of "how to do it". 

This course is addressed to Python programmers who seek to broaden their knowledge in the Python programming language. Moreover, it targets those who are eager to gain in-depth experience in handling and processing PDF files which constitute a large part of our day-to-day lives.

PDF Management in Python

# A compilation of the best resources ##

We've selected a collection of appropriate and relevant resources that align with the course objectives and goals.

The following resources have further details about the PDF and the Python libraries for your reference:

* [The history of PDF](https://www.prepressure.com/pdf/basics/history/2)

* [PDF Explained by John Whitington](https://www.oreilly.com/library/view/pdf-explained/9781449321581/ch04.html)

* [Hidden Data and Metadata in Adobe PDF Files](http://www.itsecure.hu/library/file/Biztons%C3%A1gi%20%C3%BAtmutat%C3%B3k/Alkalmaz%C3%A1sok/Hidden%20Data%20and%20Metadata%20in%20Adobe%20PDF%20Files.pdf)

* [Tesseract OCR](https://opensource.google/projects/tesseract)

* [Adobe Acrobat Reader Vulnerability Statistics](https://www.cvedetails.com/product/497/Adobe-Acrobat-Reader.html?vendor_id=53)

* [The scope of each PDF version](https://www.prepressure.com/pdf/basics/version)


## Python libraries ###

* [PyPDF4](https://github.com/claird/PyPDF4/)

* [PikePDF](https://github.com/pikepdf/pikepdf/)

* [ReportLab](https://www.reportlab.com/)

* [PyMuPDF](https://github.com/pymupdf/PyMuPDF/)

* [Filetype](https://github.com/h2non/filetype.py/)

* [Pillow](https://python-pillow.org/)

* [tabula-py](https://github.com/chezou/tabula-py/)

* [PDFNetPython3](https://www.pdftron.com/documentation/python/get-started/python3/)

* [PDFTron PDF SDK](https://www.pdftron.com/pdf-sdk/)

* [python-docx](https://github.com/atriumlts/python-docx/)

* [python-pptx](https://github.com/scanny/python-pptx/)

* [pdf2docx](https://github.com/dothinking/pdf2docx/)

* [pandas](https://pandas.pydata.org/)

* [pytesseract](https://github.com/madmaze/pytesseract/)

* [pyopenssl](https://www.pyopenssl.org/en/stable/)

* [Borb](https://github.com/jorisschellekens/borb/)

* [scikit-image](https://scikit-image.org/)

* [imutils](https://github.com/PyImageSearch/imutils/)


Explore this collection of recommended resources.

Appendix B - Further Reading

Introduction

PDF Management Core Functions

Pages Processing

Content Processing

Document Processing

Conclusion

Appendices

Appendix B - Further Reading

A compilation of the best resources