Getting started with Pyzo
To get started with Pyzo, you need to install the Pyzo IDE (in which you write your code) and a Python environment (in which you run your code).
Step 1: install the Pyzo IDE
Most users can select one of these:
- Windows: Pyzo installer (64bit). If your AntiVirus complaints, read this.
- MacOS: Pyzo dmg. If you get a warning about Apple being unable to check the file, you must right-click-open the file.
- Linux: Pyzo tarball (build on Ubuntu 18.04, 64bit).
Otherwise, see all releases for more downloads (e.g. 32/64 bit Windows zipfiles, and older versions). Linux users can also install Pyzo using Linux system packages. See the installation page for more information.
Step 2: install Python environment
To run Python code, you need a Python interpreter. Pyzo works with most Python interpreters. If you're not sure what to use, don't worry, you can install multiple environments side-by-side, and use each one from Pyzo. Just make sure to use Python 3 (not Python 2).
We recommend starting with either of these:
- The regular Python. Additional packages can be installed using
- The Anaconda distribution comes with a lot of scientific packages.
- The Miniconda distribution is a lighter version that starts
with fewer packages. Additional packages can be installed using
We recommend installing in the default location, or at least a location that can be written to without admin privileges, so that addtional packages can be installed.
Step 3: Configure Pyzo shell
In Pyzo you can configure one or more shells to target your Python environment(s). Pyzo is usually pretty good at detecting any installed Python environments, and will try to guide you to selecting a suitable one.
Step 4: Install additional packages
Depending on you needs, you might need a few extra packages. In Pyzo's shell, type:
Hooray, you just installed a new package! For details see this guide. For scienctific computing, you may want to install this set of the most important scientific packages (a.k.a. the scipy-stack):
install numpy scipy pandas matplotlib sympy pyqt
You should now be set up to start coding! You can also learn more about using the IDE and about using Python.
Pyzo and the Python environment can safely be updated/reinstalled independently from each-other.
Similarly, you can install multiple Python environments and use/manage them all via Pyzo.
Individual packages within a Python environment can be updated via