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PDF merging

As explained in Learn AI-Assisted Python Programming, Second Edition

PDF merging is the process of combining multiple PDF documents or pages into a single ordered PDF document.

PDF merging combines separate PDF files into one ordered document. It replaces repetitive manual work, such as placing each person’s cover page before their report. section 9.0 section 9.4

A practical merging workflow separates the task into these steps:

  • Find the matching cover and report files. section 9.4
  • Place the one-page cover before every page of its report. section 9.4
  • Write each combined sequence as a finalized PDF. section 9.4.1

Cover pages for reports

For files named cover1.pdf and 1.pdf, produce a final PDF beginning with cover1.pdf and continuing through every page of 1.pdf. PyPDF2 can read both inputs, add their pages to a writer, and save the result as a new file. Alternatively, subprocess can call pdftk with the cat and output arguments. section 9.4 section 9.4.1

Figure 9.1 Illustration of the desired process of creating combined .pdfs by merging the report cover in the cover directory with the report in the report’s directory. Note that the reports may be more than one page.
figure

Use the process illustration to trace how a cover-directory PDF and report-directory PDF become one combined PDF, including reports longer than one page. section 9.4

How Learn AI-Assisted Python Programming, Second Edition covers it

How deep it goes
Explains matching inputs, preserving multi-page reports, adding pages, and writing output, while deferring PDF internals.
Examples
Uses numbered reports and covers, PyPDF2 page loops, and a pdftk concatenation command.
What it assumes
Assumes basic Python file handling while teaching why PDFs require format-aware tools instead of text methods.
What you can do after
Apply it via PyPDF2 or operate it through pdftk to generate combined PDFs.
How it connects
Connects PDF files with Python, PyPDF2, subprocess, and the pdftk command-line tool.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Learn AI-Assisted Python Programming, Second Edition. The section links point to the parts of the book it draws on.