The tabula-py is a library vastly used by data science professionals to parse data from PDFs of unconventional format to tabulate it. If you are using Anaconda, you can install PDFrw using the following command: conda install PDFrw To install PDFrw for Python, we use the following pip command: pip install PDFrw The main differences between these two libraries are the ability of PyPDF2 to encrypt files and the ability of PDFrw to integrate with ReportLab. The PDFrw library is another alternative to PyPDF2. If you are using Anaconda, you can install PyPDF2 using the following command: conda install pyPDF2 To install PyPDF2 for Python, we use the following pip command: pip install pyPDF2 In this tutorial, we will run our code using PyPDF2 since PyPDF4 is not fully compatible with Python 3.
Now pyPDF, PyPDF2, and PyPDF4 versions of this library exist and the main difference between pyPDF and PyPDF2+ is that PyPDF2+ versions are made compatible with Python 3. The later developments of the package came as a response to making it compatible with different versions of Python and optimization purposes. The main libraries for dealing with PDF files are PyPDF2, PDFrw, and tabula-py.
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