How to Install and Uninstall python3-beaker Package on Kali Linux

Last updated: November 05,2024

1. Install "python3-beaker" package

Please follow the instructions below to install python3-beaker on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-beaker
            
                    
    
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2. Uninstall "python3-beaker" package

Please follow the guidelines below to uninstall python3-beaker on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-beaker
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-beaker package on Kali Linux

Package: python3-beaker
Source: beaker
Version: 1.12.1-1.1
Installed-Size: 215
Maintainer: Debian Python Team
Architecture: all
Depends: python3:any
Recommends: python3-pkg-resources
Suggests: python3-sqlalchemy, python3-nss | python3-pycryptodome | python3-pycryptopp, python3-pylibmc | python3-memcache, python3-pymongo, python3-redis
Size: 49388
SHA256: 46c82a4fb859df7455010068006ced82eb5094b141643870e4aae6d02a1555a1
SHA1: 4d080fed60edf27127cd8afb13c4770c4bb444a5
MD5sum: 17c03aa19d007f4d6dfc8c16b33896f2
Description: cache and session library for Python 3
Beaker is a web session and general caching library that includes WSGI
middleware for use in web applications.
.
As a general caching library, Beaker can handle storing for various times any
Python object that can be pickled with optional back-ends on a fine-grained
basis.
.
Features:
* Fast, robust performance
* Multiple reader/single writer lock system to avoid duplicate simultaneous
cache creation
* Cache back-ends include dbm, file, memory, memcached, and database (using
SQLAlchemy for multiple-db vendor support)
* Signed cookies to prevent session hijacking/spoofing
* Cookie-only sessions to remove the need for a database or file backend
(ideal for clustered systems)
* Extensible Container object to support new back-ends
* Caches can be divided into namespaces (to represent templates, objects,
etc.) then keyed for different copies
* Create functions for automatic call-backs to create new cache copies after
expiration
* Fine-grained toggling of back-ends, keys, and expiration per Cache object
Description-md5:
Homepage: https://beaker.readthedocs.io
Section: python
Priority: optional
Filename: pool/main/b/beaker/python3-beaker_1.12.1-1.1_all.deb