How to Create Python Environment with Conda (Python 2 + 3, Multiple Versions Tutorial)

Need to work with **multiple versions of Python (Python 2 and Python 3)** on the same system without running into conflicts? This tutorial will teach you how to **create isolated Python environments using Conda**—so you can switch seamlessly between Python 2.x and Python 3.x for legacy and modern projects.

Whether you're managing a legacy codebase that still runs on Python 2.7 or testing compatibility with different Python versions, Conda makes it incredibly easy. With just a few simple commands, you’ll learn how to create and manage separate virtual environments—each with a specific version of Python.

**What You’ll Learn:**

* How to create a Conda environment with Python 2.x
* How to create another Conda environment with Python 3.x
* How to switch between them easily
* How to verify the Python version inside each environment
* How to list all environments and manage them

**Commands Used:**

* `conda create --name py2env python=2.7`
* `conda create --name py3env python=3.11`
* `conda activate py2env`
* `conda activate py3env`
* `python --version`
* `conda env list`
* `conda deactivate`

This approach allows you to test, develop, or run legacy Python 2 apps while still using the latest features of Python 3 in a clean, organized, and conflict-free setup.

**Why This Matters:**

* Safely run legacy Python 2 scripts
* Avoid dependency and version conflicts
* Run parallel development and testing
* Maintain backward compatibility
* Use different Python versions on the same machine

Note: Python 2 has reached end-of-life and should only be used when absolutely necessary. It's strongly encouraged to migrate projects to Python 3.

Pro Tip: Use `conda install` inside each environment to add packages relevant to that Python version.

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