如何在Anaconda环境中使用Python 3.2？解决版本不支持报错

Alright, let's tackle this problem. You can absolutely create an Anaconda environment with Python 3.2, even though the default Anaconda channels don't host it anymore. Here are two workable methods to make it happen:

方法一：手动安装Python 3.2的conda包 #

Since the official channels no longer provide Python 3.2 packages, we'll create an empty environment first and then install the Python 3.2 package manually:

• First, create an empty conda environment without any default packages:

  conda create -n myenv --no-default-packages
  

• Activate the empty environment:

  conda activate myenv
  

• Find and download the Python 3.2 conda package matching your system (e.g., for OSX-64, you can get the python-3.2.5-0.tar.bz2 package from archived Anaconda repositories). Once downloaded, install it with conda:

  conda install /path/to/your/downloaded/python-3.2.5-0.tar.bz2
  

• After installing Python 3.2, you can add other packages compatible with this old version. Keep in mind most modern packages won't support Python 3.2, so you'll need to specify older versions when installing via pip, like:

  pip install numpy==1.8.2
  

方法二：使用旧版本的Anaconda发行版 #

If you don't mind using an older Anaconda installation, you can download Anaconda 2.1.0—this version natively supports Python 3.2. After installing this old Anaconda release, you can either use its default environment or create new ones with Python 3.2 directly.

Important Note #

Python 3.2 reached its end-of-life in 2016, meaning it no longer receives security updates or bug fixes. Unless you have a strict requirement to use this specific version, it's strongly recommended to upgrade to a supported Python version (3.8 or newer) to avoid potential risks.

内容的提问来源于stack exchange，提问作者Cranjis