Saturday, August 30, 2025

How to upgrade pip module in python ?

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % python3 -m pip install --upgrade pip

Defaulting to user installation because normal site-packages is not writeable

Requirement already satisfied: pip in /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (21.2.4)

Collecting pip

  Downloading pip-25.2-py3-none-any.whl (1.8 MB)

     |████████████████████████████████| 1.8 MB 4.3 MB/s 

Installing collected packages: pip

  WARNING: The scripts pip, pip3 and pip3.9 are installed in '/Users/anurag/Library/Python/3.9/bin' which is not on PATH.

  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.

Successfully installed pip-25.2

WARNING: You are using pip version 21.2.4; however, version 25.2 is available.

You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.

anurag@Anurags-MacBook-Air ~ % 

anurag@Anurags-MacBook-Air ~ % 




anurag@Anurags-MacBook-Air ~ % python3 -m pip --version

pip 25.2 from /Users/anurag/Library/Python/3.9/lib/python/site-packages/pip (python 3.9)

anurag@Anurags-MacBook-Air ~ % 

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About the Author : Anurag Pandey | Database cloud Architect | Oracle | SQL Server | PostgreSQL | AI and Data Platform Enthusiast

Anurag Pandey is a Database Architect with expertise in Oracle, PostgreSQL, SQL Server, Linux, and enterprise database platforms and specializes in database architecture, performance tuning, high availability, disaster recovery, cloud modernization, and operational excellence. With extensive experience in enterprise-scale environments, Anurag is passionate about leveraging AI, automation, and modern data platforms to improve reliability, scalability, and business outcomes. He actively contributes to technical communities through knowledge sharing, architecture guidance, and thought leadership in database and data engineering domains.

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