This is because all the necessary libraries are bundled directly within the. Keep in mind that when creating an executable with dependencies, the resulting file might be larger than the original script. exe file, anyone with a Windows system will be able to run your program without needing to install Python or additional libraries. PyInstaller bundles your Python script and its dependencies into a single file or folder, making it easier to distribute your application. To convert your Python script into an executable with all dependencies, you can use tools like PyInstaller. Including all dependencies in your executable ensures that your users won’t encounter errors due to missing components. For instance, if your Python script uses the requests library to make HTTP calls, your program won’t work on a system that does not have this library installed. In Python, creating an executable with all dependencies means that the resulting file will have everything it needs for your program to function correctly.ĭependencies are external libraries or modules that your program relies on to function. A standalone executable can be especially helpful when distributing your application, as it eliminates the need for end-users to install additional components. Additionally, it’s essential to include all dependencies to ensure that your program will run smoothly on any computer.Īn executable file, or simply an executable, allows users to run your program without needing to worry about installing the appropriate version of Python or any other necessary libraries. When working with Python, you may want to create an executable file that can run on systems that do not have Python installed. exe) file with all its dependencies included, making it simple for others to run your application on their Windows machines without needing to install Python or manage packages. One solution to this dilemma is converting your Python script into an executable (. PEP 693, the Python 3.12 Release Schedule.Developing a Python application can be a rewarding experience, but sharing your creation with others might seem daunting, especially if your users are not familiar with Python environments.(This should not affect most users as it is an internal detail, but it may cause problems for Cython-generated code.)įor more details on the changes to Python 3.12, see What's new in Python 3.12. The internal representation of integers has changed in preparation for performance enhancements.
(They will become syntax errors in the future.) Invalid backslash escape sequences in strings now warn with SyntaxWarning instead of DeprecationWarning, making them more visible.A number of other old, broken and deprecated functions, classes and methods have been removed.The setuptools package continues to provide the distutils module. The deprecated smtpd and distutils modules have been removed (see PEP 594 and PEP 632.(They had been deprecated since Python 3.1 or 3.2). In the unittest module, a number of long deprecated methods and classes were removed.The deprecated wstr and wstr_length members of the C implementation of unicode objects were removed, per PEP 623.New override decorator for methods ( PEP 698).New type annotation syntax for generic classes ( PEP 695).Many large and small performance improvements (like PEP 709 and support for the BOLT binary optimizer), delivering an estimated 5% overall performance improvement.Support for the Linux perf profiler to report Python function names in traces.More exceptions potentially caused by typos now make suggestions to the user.