Hey folks,
I’m working on a project that uses Python to automate image uploads and tagging via Cloudinary. Recently, I noticed some packages I want to use need a newer version of Python. I’m a bit nervous about updating Python because I don’t want to break existing scripts or environments.
Can someone walk me through how to update Python safely on Windows or macOS, and ideally without messing up my current setup?
Appreciate it!
Absolutely, keeping Python updated is a smart move, especially as new features, performance improvements, and security fixes are released regularly. That said, you’re right to be cautious: updating Python improperly can lead to broken virtual environments or compatibility issues with existing scripts.
Open Command Prompt and run:
bash
python --version
If this returns something like Python 3.8.10
and you want the latest (say 3.12+), it’s time to update.
Go to the official Python site and download the Windows installer for the latest stable version.
Important:
- Select Add Python to PATH before clicking Install.
- Choose Upgrade Now if you’re replacing the existing version.
- Alternatively, choose Customize Installation to install alongside your current version (recommended if you want to test first).
After installation, reopen the Command Prompt:
bash
python --version
It should now show the updated version (e.g., Python 3.12.0
).
In Terminal:
bash
python3 --version
macOS usually ships with an older Python version (e.g., 2.7 or 3.8), which you don’t want to mess with.
If you don’t have Homebrew, install it:
bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
Then install the latest Python:
bash
brew install python
This installs Python 3 (e.g., Python 3.12+) as python3
.
Ensure /opt/homebrew/bin
(or similar) is in your shell config (like .zshrc
or .bash_profile
):
bash
export PATH="/opt/homebrew/bin:$PATH"
Then restart Terminal and check:
bash
python3 --version
Most distributions include Python 3, but it might not be the latest. Use a tool like deadsnakes
(Ubuntu) or uv
for version management.
For Ubuntu:
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python<version>
Code language: HTML, XML (xml)
For Fedora:
# Fedora 42 ships with Python 3.13 by default, but if you want to install a different version, try:
sudo dnf install python<version>
Code language: PHP (php)
bash
python -m ensurepip --upgrade
python -m pip install --upgrade pip
Your old virtual environments will use the old Python path. It’s best to create new ones after updating:
bash
python -m venv new_env
Then reinstall packages:
bash
source new_env/bin/activate
pip install cloudinary pillow requests
uv
is quickly gaining traction among Python developers because it’s blazingly fast, all-in-one, and written in Rust. Unlike traditional tools like pip
, virtualenv
, or pyenv
, uv
combines dependency management, packaging, and Python version management into a single, streamlined experience.
One standout feature is its ability to manage multiple Python versions without external tools. With uv
, you can automatically download and use specific Python versions per project using the uv venv
command. It ensures that your virtual environment uses the correct interpreter, even across different machines or CI pipelines.
For example:
uv venv --python 3.11
Code language: CSS (css)
This will create a virtual environment using Python 3.11 — even if it’s not installed system-wide. No more juggling pyenv
, asdf
, or downloading installers manually.
Plus, uv
installs dependencies much faster than pip
, thanks to parallel resolution and caching. It supports pyproject.toml
out of the box and works seamlessly with modern workflows.
If you’re looking for a one-stop solution that simplifies Python environment management while saving time, uv
is worth checking out.
Platform | Method | Notes |
Windows | Download the installer from python.org | Use “Add to PATH” and “Upgrade Now” |
macOS | Use Homebrew (brew install python ) | Adds python3 binary |
Linux | Use apt , pyenv , or source build | Avoid overwriting the system Python |
All | Recreate virtual environments | Match pip and Python versions |
Updating Python is a necessary step to future-proof your development environment, especially when working with modern libraries, APIs, or services like Cloudinary. The good news is it’s easy if you follow platform-specific instructions and take precautions with your virtual environments (or update your tooling to Poetry and uv).