Python | Machine Learning | Coding

Python | Machine Learning | Coding | R via @like

كود #Python لقراءة ملف #PDF وعرض النصوص وعدد الصفحات داخل الملف على #الشاشة باستخدام مكتبة #PyPDF2 مرفقا بالشرح ضمن الكود.

للمزيد قم بمشاركة المنشور ودعوة اصدقاءك للاستفادة والافادة: @CodeProgrammer

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Python | Machine Learning | Coding | R via @like

Title: #Python script to convert #image to #pdf.

كود #بايثون لتحويل #الصورة الى ملف #PDF مرفقا بخطوات بالشرح ضمن الكود.

ملاحظة: يمكن اضافة مجموعة صور بالاعتماد على #list

للمزيد قم بدعوة اصدقاءك للاستفادة : @CodeProgrammer

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Python | Machine Learning | Coding | R

Title: #Merge multiple #PDFs to one #PDF using #Python

كود #بايثون ل #دمج عدة ملفات #PDF بملف #PDF واحد باستخدام مكتبة #PyPDF2 مرفقا بالشرح بالاضافة ل #Source_Code لهذا الكود.

للمزيد قم بمشاركة المنشور ودعوة اصدقاءك للاستفادة: @CodeProgrammer

14.1K viewsedited 21:06

Python | Machine Learning | Coding | R

Title: Encrypt PDF File Using #Python.

#منشور_علمي متقدم يتحدث عن كيفية #تشفير ملف #PDF وتعيين كلمة سر له باستخدام مكتبة #PyPDF2

كافة التفاصيل والشروحات والاكواد البرمجية متوفرة ضمن المنشور.

🔴 قناة لتحميل الكتب البرمجية:
@DataScience_Books

🟢 مجموعة القناة:
@PythonArab

🟡 للمزيد قم بدعوة اصدقاءك للاستفادة:
@CodeProgrammer

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13.7K views18:05

Python | Machine Learning | Coding | R

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Title: Convert #PDF file text to #audio using #Python.

#منشور_برمجي يتحدث عن طريقة قراءة ملف PDF بشكل صوتي وذلك باستخدام مكتبتي #pyttsx3 و #PyPDF2.
جميع الشروحات والتفاصيل اللازمة والاكواد متوفرة ضمن المنشور.

🔴 انضم لقناة الباحثين البرمجية:
@DataScience_Books

🟢 انضم لمجتمع بايثون العربي:
@PythonArab

🟡 شارك القناة للآخرين:
@CodeProgrammer

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9.36K views08:54

Python | Machine Learning | Coding | R

Topic: Python Script to Convert a Shared ChatGPT Link to PDF – Step-by-Step Guide

---

### Objective

In this lesson, we’ll build a Python script that:

• Takes a ChatGPT share link (e.g., https://chat.openai.com/share/abc123)
• Downloads the HTML content of the chat
• Converts it to a PDF file using pdfkit and wkhtmltopdf

This is useful for archiving, sharing, or printing ChatGPT conversations in a clean format.

---

### 1. Prerequisites

Before starting, you need the following libraries and tools:

#### • Install pdfkit and requests

pip install pdfkit requests

#### • Install wkhtmltopdf

Download from:
https://wkhtmltopdf.org/downloads.html

Make sure to add the path of the installed binary to your system PATH.

---

### 2. Python Script: Convert Shared ChatGPT URL to PDF

import pdfkit
import requests
import os

# Define output filename
output_file = "chatgpt_conversation.pdf"

# ChatGPT shared URL (user input)
chat_url = input("Enter the ChatGPT share URL: ").strip()

# Verify the URL format
if not chat_url.startswith("https://chat.openai.com/share/"):
    print("Invalid URL. Must start with https://chat.openai.com/share/")
    exit()

try:
    # Download HTML content
    response = requests.get(chat_url)
    if response.status_code != 200:
        raise Exception(f"Failed to load the chat: {response.status_code}")

    html_content = response.text

    # Save HTML to temporary file
    with open("temp_chat.html", "w", encoding="utf-8") as f:
        f.write(html_content)

    # Convert HTML to PDF
    pdfkit.from_file("temp_chat.html", output_file)

    print(f"\n✅ PDF saved as: {output_file}")

    # Optional: remove temp file
    os.remove("temp_chat.html")

except Exception as e:
    print(f"❌ Error: {e}")

---

### 3. Notes

• This approach works only if the shared page is publicly accessible (which ChatGPT share links are).
• The PDF output will contain the web page version, including theme and layout.
• You can customize the PDF output using pdfkit options (like page size, margins, etc.).

---

### 4. Optional Enhancements

• Add GUI with Tkinter
• Accept multiple URLs
• Add PDF metadata (title, author, etc.)
• Add support for offline rendering using BeautifulSoup to clean content

---

### Exercise

• Try converting multiple ChatGPT share links to PDF
• Customize the styling with your own CSS
• Add a timestamp or watermark to the PDF

---

#Python #ChatGPT #PDF #WebScraping #Automation #pdfkit #tkinter

https://t.me/CodeProgrammer

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3.65K viewsedited 06:08

Python | Machine Learning | Coding | R

Photo

# 📚 Python Tutorial: Convert EPUB to PDF (Preserving Images)
#Python #EPUB #PDF #EbookConversion #Automation

This comprehensive guide will show you how to convert EPUB files (including those with images) to high-quality PDFs using Python.

---

## 🔹 Required Tools & Libraries
We'll use these Python packages:
- ebooklib - For EPUB parsing
- pdfkit (wrapper for wkhtmltopdf) - For PDF generation
- Pillow - For image handling (optional)

pip install ebooklib pdfkit pillow

Also install system dependencies:

# On Ubuntu/Debian
sudo apt-get install wkhtmltopdf

# On MacOS
brew install wkhtmltopdf

# On Windows (download from wkhtmltopdf.org)

---

## 🔹 Step 1: Extract EPUB Contents
First, we'll unpack the EPUB file to access its HTML and images.

from ebooklib import epub
from bs4 import BeautifulSoup
import os

def extract_epub(epub_path, output_dir):
    book = epub.read_epub(epub_path)
    
    # Create output directory
    os.makedirs(output_dir, exist_ok=True)
    
    # Extract all items (chapters, images, styles)
    for item in book.get_items():
        if item.get_type() == epub.ITEM_IMAGE:
            # Save images
            with open(os.path.join(output_dir, item.get_name()), 'wb') as f:
                f.write(item.get_content())
        elif item.get_type() == epub.ITEM_DOCUMENT:
            # Save HTML chapters
            with open(os.path.join(output_dir, item.get_name()), 'wb') as f:
                f.write(item.get_content())
    
    return [item.get_name() for item in book.get_items() if item.get_type() == epub.ITEM_DOCUMENT]

---

## 🔹 Step 2: Convert HTML to PDF
Now we'll convert the extracted HTML files to PDF while preserving images.

import pdfkit
from PIL import Image  # For image validation (optional)

def html_to_pdf(html_files, output_pdf, base_dir):
    options = {
        'encoding': "UTF-8",
        'quiet': '',
        'enable-local-file-access': '',  # Critical for local images
        'no-outline': None,
        'margin-top': '15mm',
        'margin-right': '15mm',
        'margin-bottom': '15mm',
        'margin-left': '15mm',
    }
    
    # Validate images (optional)
    for html_file in html_files:
        soup = BeautifulSoup(open(os.path.join(base_dir, html_file)), 'html.parser')
        for img in soup.find_all('img'):
            img_path = os.path.join(base_dir, img['src'])
            try:
                Image.open(img_path)  # Validate image
            except Exception as e:
                print(f"Image error in {html_file}: {e}")
                img.decompose()  # Remove broken images
    
    # Convert to PDF
    pdfkit.from_file(
        [os.path.join(base_dir, f) for f in html_files],
        output_pdf,
        options=options
    )

---

## 🔹 Step 3: Complete Conversion Function
Combine everything into a single workflow.

def epub_to_pdf(epub_path, output_pdf, temp_dir="temp_epub"):
    try:
        print(f"Converting {epub_path} to PDF...")
        
        # Step 1: Extract EPUB
        print("Extracting EPUB contents...")
        html_files = extract_epub(epub_path, temp_dir)
        
        # Step 2: Convert to PDF
        print("Generating PDF...")
        html_to_pdf(html_files, output_pdf, temp_dir)
        
        print(f"Success! PDF saved to {output_pdf}")
        return True
    
    except Exception as e:
        print(f"Conversion failed: {str(e)}")
        return False
    finally:
        # Clean up temporary files
        if os.path.exists(temp_dir):
            import shutil
            shutil.rmtree(temp_dir)

---

## 🔹 Advanced Options
### 1. Custom Styling
Add CSS to improve PDF appearance:

def html_to_pdf(html_files, output_pdf, base_dir):
    options = {
        # ... previous options ...
        'user-style-sheet': 'styles.css',  # Custom CSS
    }
    
    # Create CSS file if needed
    css = """
    body { font-family: "Times New Roman", serif; font-size: 12pt; }
    img { max-width: 100%; height: auto; }
    """
    with open(os.path.join(base_dir, 'styles.css'), 'w') as f:
        f.write(css)
    
    pdfkit.from_file(/* ... */)

🔥1

490 views10:48

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