One of the benefits is that you can run a Python script with arguments. A CLI allows you to have more control over your script. You'd want to create a CLI for more advanced repetitive use cases. Create a CLI and run Python scripts on the command line. This may not be the case on another person's PC. If you're sharing your code with a different person, your script will expect the Python interpreter in the exact location. The second method has an additional drawback.
Now, you don't have to type in Python every time. Then you have to make the script an executable by running the following command on your terminal. You can specify the interpreter path at the top of the page, as shown below. Yet, if you use the script often and the interpreter will remain the same, the best option is an executable. You could also change the Python interpreter without editing the script file. The second option is you can make the Python script file an executable. First, you can type Python (or Python3) followed by the path to your script file. You can run Python scripts on the terminal in two ways. As a programmer, you'll have many instances where you need to execute Python scripts on the go. Since Python is a very concise language, these sorts of one-liners are prevalent. I use this one very often to quickly generate secure passwords. Python -c "import secrets print(secrets.token_urlsafe(64))" The following Python command generates a random token of 64 characters. I use this very often to generate secret tokens. You can use the "-c" option to follow up with a command to execute. There are instances where you need to execute some Python commands instantly. Run Python command from the terminal and get output instantly. The following method comes in handy in many ways. Yet, there are instances where we don't even want to go into a different environment. You could run the command and see the output then and there. The notable advantage of REPLs is that we don't have to wait until the entire program evaluates. Python manage.py shell # To get a Django shell
Most data scientists use Jupyter notebooks, an evolved version of REPLs. Even the most experienced still use REPLs to test out various aspects of their application.įor instance, Django developers use the shell to test out database queries for their app. This is where you'd probably write your print ("Hello World!") It'll take you to an interpreter environment. It's the easiest way to execute Python commands. When you're learning Python, you'd almost always have used a REPL. As it suggests, the REPL environment will evaluate each line you enter and print its results immediately on the terminal. REPL stands for Read-Evaluate-Pring-Loop. Python REPL: the beginner-friendly way to run Python commands Run a Python script file in the terminal.Use the "-c" option on the command prompt.In this post, we'll quickly run through the following methods. Each has its merits, so they work well in one instance and not in the other. Since Python is an interpreted language, you don't have to compile it before doing so.īut you could do it in several different ways. You can run Python commands from your terminal or command prompt.