This course will take you from beginner to expert in Python, easily and smartly.This course will dive right into Python and get you productive from the very beginning.

If you have any questions, please leave them in the comment section.Welcome to the Complete Python Scripting for Automation. In the article, you have learned what is the usage of writing #!/usr/bin/env on the first line of a Python script, we have seen using both #!python, #!/usr/bin/env and other alternatives of this shebang. However, if you are running your script on a bash, then it is a good idea to use the #!/usr/bin/env instead of #!python. In this case, #!python could be used to explicitly specify the version of Python to use. Windows has a default behavior of using a default Python interpreter when no shebang is present. In many cases both #!python and #!/usr/bin/env python are used to specify the path to the Python interpreter that should be used to run a Python script on the first line. For example, if your script is called app.py, you can run the following command to set the permissions and make the script executable: This shebang line is used in combination with the chmod command to set the file permissions to executable. By including the shebang line at the beginning of the script and then using the chmod command to set the file permissions to the executable, you can run the script directly from the command line. The shebang can also be used to set the execute permissions for a Python script. Remember, if the default version of python is 3, then it will run on that specific version. For the code to be run on python version 3, you have to write it as follows:Īnd for the default version of python, which in most systems is python version 2, you can write it like this. This is specifically useful when you are using python version 3 and python version 2. Let’s say your script is specifically designed to be run on python version 3.4 the first line of your python code should be like this: This can also lead to errors if you are using a virtual environment in Python. This means that it will make your script less portable since the user running the script will need to know the path to the Python interpreter on their system.

Writing scripts in python