Python | Machine Learning | Coding | R
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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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Python | Machine Learning | Coding | R
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### 2. Handling Complex EPUBs
For problematic EPUBs, try this pre-processing:

def clean_html(html_file):
with open(html_file, 'r+', encoding='utf-8') as f:
content = f.read()
soup = BeautifulSoup(content, 'html.parser')

# Remove problematic elements
for element in soup(['script', 'iframe', 'object']):
element.decompose()

# Fix image paths
for img in soup.find_all('img'):
if not os.path.isabs(img['src']):
img['src'] = os.path.abspath(os.path.join(os.path.dirname(html_file), img['src']))

# Write back cleaned HTML
f.seek(0)
f.write(str(soup))
f.truncate()


---

## πŸ”Ή Full Usage Example
if __name__ == "__main__":
import argparse

parser = argparse.ArgumentParser(description='Convert EPUB to PDF')
parser.add_argument('epub_file', help='Input EPUB file path')
parser.add_argument('pdf_file', help='Output PDF file path')
args = parser.parse_args()

success = epub_to_pdf(args.epub_file, args.pdf_file)
if not success:
exit(1)


Run from command line:
python epub_to_pdf.py input.epub output.pdf


---

## πŸ”Ή Troubleshooting Common Issues
| Problem | Solution |
|---------|----------|
| Missing images | Ensure enable-local-file-access is set |
| Broken CSS paths | Use absolute paths in CSS references |
| Encoding issues | Specify UTF-8 in both HTML and pdfkit options |
| Large file sizes | Optimize images before conversion |
| Layout problems | Add CSS media queries for print |

---

## πŸ”Ή Alternative Libraries
If pdfkit doesn't meet your needs:

1. WeasyPrint (pure Python)

   pip install weasyprint


2. PyMuPDF (fitz)

   pip install pymupdf


3. Calibre's ebook-convert CLI

   ebook-convert input.epub output.pdf


---

## πŸ”Ή Best Practices
1. Always clean temporary files after conversion
2. Validate input EPUBs before processing
3. Handle metadata (title, author, etc.)
4. Batch process multiple files with threading
5. Log conversion results for debugging

---

### πŸ“š Final Notes
This solution preserves:
βœ”οΈ All images in original quality
βœ”οΈ Chapter structure and formatting
βœ”οΈ Text encoding and special characters

For production use, consider adding:
- Progress tracking
- Parallel conversion of chapters
- EPUB metadata preservation
- Custom cover page support

#PythonAutomation #EbookTools #PDFConversion πŸš€

Try enhancing this script by:
1. Adding a progress bar
2. Preserving table of contents
3. Supporting custom cover pages
4. Creating a GUI version

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πŸ“š JaidedAI/EasyOCR β€” an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.

### πŸ” Key Features:

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import easyocr

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Transformer Lesson - Part 1/7: Introduction and Architecture

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πŸš€ Comprehensive Tutorial: Build a Folder Monitoring & Intruder Detection System in Python

In this comprehensive, step-by-step tutorial, you will learn how to build a real-time folder monitoring and intruder detection system using Python.

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Create a background program that:
- Monitors a specific folder on your computer.
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πŸš€ Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions

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This repo is awesome. It features RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more.

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500 Essential Web Scraping Interview Questions

Start: https://hackmd.io/@husseinsheikho/WS-Interview

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Python | Machine Learning | Coding | R
500 Essential Web Scraping Interview Questions Start: https://hackmd.io/@husseinsheikho/WS-Interview βœ‰οΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk πŸ“± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
500 Essential Web Scraping Interview Questions with Answers - part 1 (1 to 238)

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500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)

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This repository contains a collection of everything needed to work with libraries related to AI and LLM.

More than 120 libraries, sorted by stages of LLM development:

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🌟 link: https://github.com/Shubhamsaboo/awesome-llm-apps

πŸ‘‰ @codeprogrammer
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πŸ₯‡ This repo is like gold for every data scientist!

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