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Active1 year, 2 months ago
Im attempting to install pip with python 2.6 on my dev machine to try to match a deployment environment that also uses python 2.6.
Python 2.6 is installed OK. I've tried installing pip using get-pip.py as outlined here https://pip.pypa.io/en/stable/installing/ with the version of the get-pip.py script from https://bootstrap.pypa.io/2.6/get-pip.py
However it fails with the following:
Obviously, upgrading to newer python defeats my purpose.
The information at the URL recommended for the warning
InsecurePlatformWarning
suggests that I install more things using pip... >.<PS I've tried using easy-install from setuptools-40.0.0 as well, but I could not get this to work. I'm not sure if I'm using it correctly as the setuptools installation documentation has circular links (from the documentation to Pypi, back to the documentation)
Toby
TobyToby
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1 Answer
For Python 2.6 you need older
setuptools
. The last setuptools version that works with Python 2.6 is 36.8.Download setuptools-36.8.0.zip, unpack and run
python2.6 setup.py install
.After that get-pip.py should install
pip
for you.The last version of
phdphdpip
supporting Python 2.6 is 9.0.3: https://pypi.org/project/pip/9.0.3/#files31.6k66 gold badges3333 silver badges5757 bronze badges
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Python is a dynamic object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Many Python programmers report substantial productivity gains and feel the language encourages the development of higher quality, more maintainable code. Python runs on Windows, Linux/Unix, Mac OS X, OS/2, Amiga, Palm Handhelds, and Nokia mobile phones. Python has also been ported to the Java and .NET virtual machines.
Python Features
- very clear, readable syntax
- strong introspection capabilities
- intuitive object orientation
- natural expression of procedural code
- full modularity, supporting hierarchical packages
- exception-based error handling
- very high level dynamic data types
- extensive standard libraries and third party modules for virtually every task
- extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython)
- embeddable within applications as a scripting interfac