how to run a python script in linux command line
Автор: CodeSolve
Загружено: 2024-02-23
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title: running python scripts in linux command line: a step-by-step tutorial
introduction:
running python scripts from the command line in a linux environment is a common task for developers and system administrators. this tutorial will guide you through the process, providing step-by-step instructions and code examples.
step 1: install python:
make sure python is installed on your linux system. most linux distributions come with python pre-installed. to check the installed version, open the terminal and type:
if python is not installed, you can install it using your package manager. for example, on ubuntu, you can use:
step 2: create a python script:
create a simple python script using your preferred text editor. for example, let's create a script named hello.py:
save the file and make it executable:
step 3: navigate to the script's directory:
open the terminal and navigate to the directory where your python script is located. use the cd command to change directories:
replace "/path/to/your/script" with the actual path to your script's directory.
step 4: run the python script:
once you are in the script's directory, you can execute the script using the following command:
this command tells the shell to run the script using the python interpreter specified in the script's shebang line (#!/usr/bin/env python3).
note: if you encounter a permission denied error, make sure the script is executable (use chmod +x hello.py) and try again.
step 5: using python interpreter directly:
alternatively, you can run the script using the python interpreter directly:
this command explicitly specifies the python interpreter to use.
conclusion:
running python scripts in the linux command line is a straightforward process. make sure python is installed, create a script, navigate to its directory, and execute it using the appropriate command. this tutorial covered the basics, but as you explore more, you'll discover additional options and features available in the linux command line for ...
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