This guide demonstrates how to generate a PDF using Python, specifically employing the WeasyPrint library. The PDF generated will include a page with a fixed header and dynamic data presented in a table format.

• Fixed Header: The PDF will contain a fixed header that remains consistent across all pages.
• Dynamic Data Table: The PDF will include a table presenting dynamic data.
• WeasyPrint Package: WeasyPrint, a powerful library for rendering HTML and CSS to PDF, is utilized for PDF generation.

To install WeasyPrint, follow these steps:

1. Install Dependencies: Before installing WeasyPrint, ensure that the necessary system-level dependencies are installed. These dependencies may vary based on your operating system. Refer to the official WeasyPrint documentation for detailed instructions.

2. Install WeasyPrint: You can install WeasyPrint using pip, Python's package installer. Run the following command in your terminal or command prompt:

   pip install WeasyPrint
   

3. Verify Installation: After installation, verify that WeasyPrint is correctly installed by importing it in a Python environment. Open a Python interpreter or a Python script and import WeasyPrint:

   import weasyprint

   If no errors occur, WeasyPrint is successfully installed.

Refer to your Python script to generate the PDF. Ensure that you have the necessary data and HTML/CSS templates to generate the PDF according to your requirements.

Here's a basic example of how to use WeasyPrint to generate a PDF:

import pretty_pdf

# Get table data 
def get_table_data():
    table_rows = ""
    for i in range(2000):
        table_rows += "<tr>"
        for j in range(6):
            table_rows += f"<td>Data {i + 1}-{j + 1}</td>"
        table_rows += "</tr>"
    return table_rows

if __name__ == "__main__":
    title = "Generate PDF using Python with WeasyPrint"
    header = ["ID", "COLUMN 2", "COLUMN 3", "COLUMN 4", "COLUMN 5", "COLUMN 6"]
    data = get_table_data()
    pretty_pdf.generate_pdf("download.pdf", title, header, data)