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.

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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

# Introduction ##

**PDF compression** involves optimizing the document structure by shrinking its pictures, graphics, and objects, while maintaining its quality to a certain extent.

The primary reason for compressing a PDF file is to decrease its size in order to optimize its storage, and to improve its transfer via email or other online communication channels. This is mainly done for files that have size constraints related to email attachments, or to the data transferred via messenger applications.

 
# What are PDF compression types ##

The PDF support two types of compression:

* **Lossy**: This type of compression applies to images and graphics included within a PDF file, as it decreases their size by sacrificing bits of their information and lowering their resolution. However, we should note that this ends up with an output of lower quality.
  
* **Lossless**: This compression algorithm creates reference points for textual patterns and stores them in a catalog.
This allows others to reconstruct the original data from the compressed data without any loss of quality. It best fits PDF documents containing text.


# Scope ##
 
This lesson aims to show us how to develop a custom-built PDF compression tool, using a lightweight command-line-based utility developed in the Python programming language.

Compressing a PDF File

Introduction

PDF Management Core Functions

Pages Processing

Content Processing

Document Processing

Conclusion

Appendices

Compressing a PDF File

Introduction

What are