How to Install and Uninstall python-pdfminer-doc.noarch Package on AlmaLinux 8

Last updated: November 25,2024

1. Install "python-pdfminer-doc.noarch" package

This tutorial shows how to install python-pdfminer-doc.noarch on AlmaLinux 8


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python-pdfminer-doc.noarch
            
                    
    
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2. Uninstall "python-pdfminer-doc.noarch" package

Here is a brief guide to show you how to uninstall python-pdfminer-doc.noarch on AlmaLinux 8:


    
        
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                sudo dnf remove
            
                        
                python-pdfminer-doc.noarch
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python-pdfminer-doc.noarch package on AlmaLinux 8

Last metadata expiration check: 0:49:50 ago on Mon Sep 5 03:22:42 2022.
Available Packages
Name : python-pdfminer-doc
Version : 20220319
Release : 2.el8
Architecture : noarch
Size : 183 k
Source : python-pdfminer-20220319-2.el8.src.rpm
Repository : epel
Summary : Documentation for pdfminer
URL : https://github.com/pdfminer/pdfminer.six
License : MIT
Description :
: Pdfminer.six is a community maintained fork of the original PDFMiner. It is a
: tool for extracting information from PDF documents. It focuses on getting and
: analyzing text data. Pdfminer.six extracts the text from a page directly from
: the sourcecode of the PDF. It can also be used to get the exact location, font
: or color of the text.
:
: It is built in a modular way such that each component of pdfminer.six can be
: replaced easily. You can implement your own interpreter or rendering device
: that uses the power of pdfminer.six for other purposes than text analysis.
:
: Check out the full documentation on Read the Docs
: (https://pdfminersix.readthedocs.io/).
:
: Features:
:
: • Written entirely in Python.
: • Parse, analyze, and convert PDF documents.
: • PDF-1.7 specification support. (well, almost).
: • CJK languages and vertical writing scripts support.
: • Various font types (Type1, TrueType, Type3, and CID) support.
: • Support for extracting images (JPG, JBIG2, Bitmaps).
: • Support for various compressions (ASCIIHexDecode, ASCII85Decode, LZWDecode,
: FlateDecode, RunLengthDecode, CCITTFaxDecode)
: • Support for RC4 and AES encryption.
: • Support for AcroForm interactive form extraction.
: • Table of contents extraction.
: • Tagged contents extraction.
: • Automatic layout analysis.