![]() ![]() It essentially tells the compiler how to compile your script and where to look for relevant data. This file is created when you run the PyInstaller command on a Python script. pyinstaller -onefile PyInstaller Spec Fileįor more advanced users there is the spec file. This creates one giant executable file instead of creating a lot of files which are mixed with your compiled executable. Personally, I like to modify it slightly by adding the “onefile” option. You would simply compile your Python code by typing the code below in your terminal: pyinstaller PyInstaller is designed to worked in a command prompt or terminal environment. You can install by simply typing the code in the code block below: pip install pyinstallerĭuring the pip install process the PyInstaller library is added to your environment PATH meaning that you can call it in a terminal by typing in pyinstaller into the command prompt. PyInstaller is a Python library that can be installed using Python’s package manager, pip. I will also go over a few basic steps and considerations if you are considering compiling your Python code. We will look at how to troubleshoot problems that are often encountered when compiling and how to troubleshoot them. There are some small differences when compiling which unfortunately I cannot cover because I do not own a MacOS system. ![]() This tutorial will be done using the Windows operating system. PyInstaller is a specially designed compiler for Python code that can compile for Windows, MacOS, and Linux systems. In this tutorial we will look at compiling Python code using PyInstaller. Or perhaps you want to hide your code but distribute your workflow, compiling can obfuscate your code and as far as I know, not many people (if any) can extract the Python code from a compiled program. Your code can be more useful if you can easily introduce it to a wide range of people - this would include non-technical users who may never have even opened a command prompt or terminal. Distributing your workflow to non-technical users.Why would you want to do this? There are two primary reasons why developers would want to compile their code: py file extension to a traditional executable. Compiling Python code involves transforming your Python code from a. ![]()
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