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  1. Dictionaries are Pythons most powerful data collection • Dictionaries allow us to do fast database-like operations in Python • Dictionaries have different names in different languages

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  2. Jul 16, 2023 · In this comprehensive guide, we will introduce you to PyPDF2, a popular Python library for working with PDF files, and provide a step-by-step tutorial on how to use it effectively.

    • Tushar Aggarwal
  3. In this step-by-step tutorial, you'll learn how to work with a PDF in Python. You'll see how to extract metadata from preexisting PDFs . You'll also learn how to merge, split, watermark, and rotate pages in PDFs using Python and PyPDF2.

  4. Sep 5, 2018 · I am currently working on a project where I want to extract text from a PDF and then check if one of the words in the extracted text appears in a certain dictionary. If so, I want to us example.replace(file, x, y) to replace the word from my text with the value from my dictionary.

  5. Sep 30, 2024 · Convert HTML/webpage to PDF There are many websites that do not allow to download the content in form of pdf, they either ask to buy their premium version or don't have such download service in form of pdf. Conversion in 3 Steps from Webpage/HTML to PDF Step1: Download library pdfkit $ pip install pdfkit Step2: Download wkhtmltopdf For Ubuntu/Debia

  6. Jul 3, 2024 · Convert a PDF to a Document using Python. The pdf2docx module uses PyMuPDF to extract information from PDFs, including text, pictures, and illustrations. It can generate new layouts by adjusting margins, sections, and columns. It offers features like text orientation, direction, and font attributes.

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  8. Interacting with dictionaries in Python is very easy, coherent, and explicit. This makes them a powerful tool that we can exploit for different purposes. In arrays, speci cally in list and tuple, we routinely use indexing techniques to retrieve values. In dictionaries, however, we use keys to do that.

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