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Python Tutorial: Running Daemon Sub-Processes & Reading Stdout

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Python is a powerful programming language that offers a lot of functionalities to developers, making it one of the most popular programming languages worldwide. One of the amazing features that python provides its developers is the ability to run daemon sub-processes and read stdout. This functionality is indeed beneficial to developers who need to develop multi-threaded applications that require subprocesses to work concurrently.

If you’re a developer who’s interested in learning how you can use this functionality, then you’ve come to the right article. In this article, we will provide you with a comprehensive tutorial on how you can run daemon sub-processes and read stdout using python. The tutorial is written with the aim of providing both beginners and experienced developers with valuable information on how to utilize this python feature effectively.

The tutorial will also guide you through the step-by-step process of developing multi-threaded applications that leverage subprocesses to operate concurrently. We’ll show you how to use the subprocess module in python, and how to create child processes that run independently of each other. We’ll also demonstrate how to use methods like ‘Popen’, ‘communicate’, and ‘stdout’ to capture the output and errors of the subprocesses.

If you’re looking for an article that will provide you with practical examples and code snippets, then this tutorial is undoubtedly what you need. With a clear understanding of the concepts discussed in this tutorial, you’ll be able to create remarkable multithreaded applications that utilize subprocesses effectively. So, dive into the article now, and learn how you can leverage python’s capabilities to create unique and impressive software.

th?q=Python%20Run%20A%20Daemon%20Sub Process%20%26%20Read%20Stdout - Python Tutorial: Running Daemon Sub-Processes & Reading Stdout
“Python Run A Daemon Sub-Process & Read Stdout” ~ bbaz

The Need for Running Daemon Sub-Processes & Reading Stdout

As programmers, we are tasked with creating complex applications from time to time. In some cases, these applications would need to run multiple sub-processes for various tasks. The process of managing these sub-processes and reading their output (stdio) could become quite tedious. However, with Python programming language, this process is made easier. Python has a module called subprocess that allows programmers to manage sub-processes and access their standard output (stdout). In this article, we would be exploring the process of running daemon sub-processes and reading stdout in Python programming language.

The Basics

Before we dive into the more advanced technique of running daemon subprocesses and reading their stdio, we need to understand the basics. A sub-process is a separate process that is spawned by another process (parent process). The sub-process could either be a child process or a daemon process.

A Child Process Vs A Daemon Process

A child process is a process that is controlled by its parent process. It is terminated when the parent process terminates. On the other hand, a daemon process is a process that runs in the background and does not interact with the user directly. It is not controlled by the parent process and can continue running even when the parent process has terminated.

Running Daemon Sub-Processes in Python

In Python, we can use the subprocess module to create and manage sub-processes. To start a daemon sub-process using Python, we need to set the daemon parameter to True. This parameter is available in the Popen constructor. However, it is important to note that when setting the daemon parameter to True, the subprocess is started in the background and does not return a Popen instance.


Let’s assume we want to start a daemon process that runs a Python script named, we can achieve this with the following command:

“`pythonimport subprocesssubprocess.Popen([python,], daemon=True)“`

Reading Stdout in Python

The most common way of reading the standard output (stdout) of a subprocess is by using the communicate method. This method waits until the subprocess has finished execution before returning the stdout and stderr of the subprocess.


Using the same example above, to read the stdout of the subprocess, we can use the following code:

“`pythonimport subprocessprocess = subprocess.Popen([python,], stdout=subprocess.PIPE, universal_newlines=True)stdout, stderr = process.communicate()print(stdout)“`

Comparison Table

Running Daemon Sub-Processes in Python Reading Stdout in Python
Set daemon parameter to True in Popen constructor Use the communicate method to read the stdout
Subprocess runs in the background The method waits for the subprocess to finish execution before returning the stdout
Does not return a Popen instance Returns the stdout and stderr


Python programming language made managing sub-processes and accessing their standard output (stdout) very easy through the subprocess module. Running a daemon sub-process is as simple as setting the daemon parameter to True in the Popen constructor, while reading the stdout of a subprocess can be done using the communicate method. I would recommend the use of Python’s subprocess module for anyone who needs to manage sub-processes and access their standard output.

Thank you for taking the time to read our Python tutorial on Running Daemon Sub-Processes & Reading Stdout. We hope that this guide has been helpful in furthering your understanding of how to run daemon sub-processes and how to read stdout in Python.

Using daemon sub-processes can be very useful in certain cases, such as running background tasks or maintaining a persistent state for your application. By using the information presented in this tutorial, you should be able to create efficient and reliable daemon processes that can help make your Python programs more effective.

We encourage you to keep exploring Python and all of its capabilities. The more you experiment with this powerful programming language, the more you will discover new ways to create amazing applications and streamline your workflow. If you have any questions or feedback on this tutorial, please don’t hesitate to reach out to us. We are always happy to hear from our readers and help answer any questions you may have about Python or anything related to programming.

People Also Ask About Python Tutorial: Running Daemon Sub-Processes & Reading Stdout:

  • What is a daemon process in Python?

    A daemon process is a background process that runs continuously without any user interaction. In Python, you can create a daemon process using the daemon property of a subprocess.Popen object.

  • How do I run a subprocess in Python?

    You can run a subprocess in Python using the subprocess.Popen class. This class allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes.

  • How do I read stdout from a subprocess in Python?

    You can read stdout from a subprocess in Python using the communicate() method of a subprocess.Popen object. This method returns a tuple of (stdout_data, stderr_data), where stdout_data contains the standard output of the process.

  • What is the difference between stdout and stderr in Python?

    In Python, stdout stands for standard output and stderr stands for standard error. stdout is used to print normal output messages, while stderr is used to print error messages or warnings.

  • How do I redirect stdout to a file in Python?

    You can redirect stdout to a file in Python using the stdout parameter of a subprocess.Popen object. Simply set this parameter to a file object opened in write mode, and all output from the subprocess will be written to the file instead of being displayed on the console.