How to check python version in jupiter

Python Tutorial: How to check Python version in Jupyter Notebook

Python is a popular programming language that is widely used for data analysis, machine learning, web development, and many other applications. If you are using Jupyter Notebook for your Python projects, it’s important to know which version of Python you are using. This information can help you ensure compatibility with specific Python libraries or modules, and can also help you troubleshoot any issues that may arise during your project.

In this tutorial, we will show you how to check the version of Python installed in your Jupyter Notebook environment. We will cover two methods: the first method will show you how to check the version using command line interface (CLI), while the second method will show you how to check the version within a Jupyter Notebook code block. Let’s get started!

Method 1: Using the sys module

If you are working on a project in Jupyter Notebook, it is essential to know which version of Python is running. Knowing the Python version can help you ensure that your code runs without any compatibility issues. In this section, we will discuss how to check the Python version in Jupyter Notebook using the sys module.

The sys module provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. One such variable is the python version.

To check the Python version using the sys module, you need to execute the following code:

 import sys print("Python version:", sys.version) 

When you run this code, it will output the version of Python installed on your system. The output will look something like this:

 Python version: 3.8.5 (default, Jan 27 2021, 15:41:15)  [GCC 9.3.0] 

Here, `sys.version` returns a string containing a human-readable description of the Python version, including information about the compiler used to build Python.

In addition to `sys.version`, you can also use `sys.version_info` to get more detailed information about the Python version. This method returns a tuple containing five elements: major, minor, micro, release level, and serial.

 import sys print("Python version info:", sys.version_info) 

This code will output something like this:

 Python version info: sys.version_info(major=3, minor=8, micro=5, releaselevel='final', serial=0) 

Here, we can see that we are running Python 3.8.5 with a release level of ‘final’ and a serial number of 0.

Using these methods provided by the sys module can help you determine which version of Python is running in Jupyter Notebook. This information can be useful when developing Python applications that need to be compatible with specific Python versions.

Method 2: Using the platform module

Another way to check the Python version in Jupyter Notebook is by using the built-in `platform` module. This method is particularly useful if you want to retrieve more information about the Python installation, such as the operating system and architecture.

To use the `platform` module, you must first import it into your notebook. Here’s how you can do it:

Once you’ve imported the `platform` module, you can call its `python_version()` function to get the current Python version:

 print(platform.python_version()) 

This will output a string containing the current Python version installed on your system.

You can also use other functions provided by the `platform` module to get more information about your Python installation. For example, you can use the `machine()` function to get the name of the machine where Python is running:

This will output a string containing the machine name, such as `’x86_64’` or `’i386’`.

Similarly, you can use the `system()` function to get the name of the operating system:

This will output a string containing the name of your operating system, such as `’Windows’`, `’Linux’`, or `’Darwin’` (for macOS).

Overall, using the `platform` module provides a more detailed way of checking your Python version and installation details in Jupyter Notebook.

Conclusion

In this tutorial, we have learned how to check the Python version in Jupyter Notebook. We have seen that there are different ways to achieve this. The simplest way is to use the `sys` module and `sys.version` attribute to get the Python version.

We have also seen that Jupyter Notebook has an in-built magic command `%python –version` that can be used to check the Python version.

It is important to know the Python version you are using because it affects the compatibility of your code with various libraries and packages. Some libraries may not work with older versions of Python, while others may require the latest version of Python.

By knowing your Python version, you can ensure that your code runs smoothly and without any compatibility issues.

We hope that this tutorial has been helpful in guiding you on how to check the Python version in Jupyter Notebook. If you have any questions or comments, feel free to leave them below.
Interested in learning more? Check out our Introduction to Python course!

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How to check python version in jupiter

Last updated: Apr 13, 2023
Reading time · 3 min

# How to check your Python version in Jupyter Notebook

The easiest way to check your Python version in Jupyter Notebook is to:

1. Import the python_version method from the platform module.
2. Call the python_version() method to print the Python version as a string.

Start Jupyter Notebook by issuing the jupyter-notebook command from your terminal.

Click on New and select Python 3 (ipykernel).

Now, import the python_version method from the platform module and call it.

Copied! 
from platform import python_version print(python_version()) 

Once you import and call the method, click on the Run button or press Ctrl + Enter .

The screenshot shows that my Python version is 3.11.3.

The code sample imports the python_version method from the platform module.

Unlike the sys.version attribute, the string always contains the patch component (even if it’s 0 ).

If you have virtual environments that you are trying to switch to from within Jupyter Notebook:

1. Click on Kernel.
2. Hover over Change kernel.
3. Select your virtual environment.

If you encounter any issues when switching virtual environments, restart the kernel.

If you need to create a new virtual environment in Jupyter Notebook, follow the instructions in this article.

# Check your Python interpreter in Jupyter Notebook using the sys module

You can use the sys module if you need to check your Python interpreter in Jupyter Notebook.

Copied! 
import sys print(sys.executable) # 👉️ /usr/bin/python3.11 

The sys.executable attribute returns the absolute path of the executable binary of the Python interpreter.

If Python can’t determine the path to the interpreter, then sys.executable returns an empty string or a None value.

There is also a sys.version attribute that returns a string containing:

• the version number of the Python interpreter
• additional information about the build number and the compiler

Copied! 
import sys print(sys.executable) # /usr/bin/python3.11 # 👇️ 3.11.3 (main, Apr 5 2023, 14:14:37) [GCC 11.3.0] print(sys.version) # 👇️ sys.version_info(major=3, minor=11, # micro=3, releaselevel='final', serial=0) print(sys.version_info) 

The sys.version_info attribute returns a tuple that contains five components of the version number:

All components except for the release level are integers.

The release level component can be one of the following:

You can access specific tuple elements at an index.

Copied! 
import sys # 👇️ sys.version_info(major=3, minor=11, # micro=3, releaselevel='final', serial=0) print(sys.version_info) print(sys.version_info[0]) # 3 print(sys.version_info[1]) # 11 print(sys.version_info[2]) # 3 print(sys.version_info[3]) # final 

# Using the !python —version command to check your version

You can also use the !python —version command to check your Python version in Jupyter Notebook.

Copied! 
!python --version # same as above !python -V 

The !python -V command is an alias of the !python —version command.

Notice that the command is prefixed with an exclamation mark.

This is necessary when issuing the command in a Jupyter cell.

The exclamation mark ! is used to run a shell command in Jupyter.

You can use the !jupyter —version command if you need to check your Jupyter version.

# Using the menu to check your Python version in Jupyter Notebook

You can also use the Help menu to check your Python version in Jupyter Notebook:

• The version of the notebook server
• The Python version that is run in Jupyter Notebook
• Additional information about the current kernel

If you encounter issues when checking your version, try restarting the kernel.

# Additional Resources

You can learn more about the related topics by checking out the following tutorials:

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