How to Install and Uninstall python3-pprofile Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 20,2024

1. Install "python3-pprofile" package

Please follow the steps below to install python3-pprofile on Ubuntu 21.10 (Impish Indri)


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

In this section, we are going to explain the necessary steps to uninstall python3-pprofile on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-pprofile
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-pprofile package on Ubuntu 21.10 (Impish Indri)

Package: python3-pprofile
Architecture: all
Version: 2.0.5-1
Priority: optional
Section: universe/python
Source: pprofile
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Josue Ortega
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 125
Depends: python3:any (>= 3.6~), python3-pkg-resources
Suggests: python3-ipython
Filename: pool/universe/p/pprofile/python3-pprofile_2.0.5-1_all.deb
Size: 27168
MD5sum: 8d4d545aff641fa27f95b59d1392b963
SHA1: de34d313d5d4fc883c9e3d1996fa33745eda0a09
SHA256: 7a80e8dd3ff7fada695ea092b4e83fcf7fa4c820dc9a50a1a75f56d0f8b2106a
SHA512: cb4f2eca42725e01f06b73d38f492b95134e82c4805b762d76e8fa5f7a0a6f48131688bbae7834fc76e4f04f63f08d32fda3aed783a5c84f7ac0ef5908948a1e
Homepage: https://github.com/vpelletier/pprofile
Description-en: Line-granularity, deterministic and statistic Python 3 profiler
Line granularity allows locating precisely where time is spent in code.
Thread awareness automatically propagates profiling to all threads (all
threads in statistic mode, or threads spawned by profiled code in
deterministic mode).
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Deterministic profiling gives precise measures, but at a large speed
cost (best used on minimal test scenario).
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Statistic profiling gives rough measure, but has an extremely low
overhead (suitable for live code profiling).
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Does not require marking methods to profile, allowing non-method
profiling (module imports, class & function declarations and other
module-level code).
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This package installs the library for Python 3.
Description-md5: dd7d3aa5b7f0f10b55518961cffc3be3