Keynotes for Using Python Jupyter Notebook.Different Types of Cells in Jupyter Python Notebook.How to Write and Run Jupyter Python Notebook | Your First Program.Installing Jupyter Python Notebook For Python 2 and 3.(COA) Computer Organization & Architecture.In this blog post, we discussed three methods to determine the Python version in your Jupyter notebook: using the built-in sys module, checking the Jupyter notebook interface, and using the command line.īy following these methods, you can ensure that your Jupyter notebook environment meets the requirements for your data science projects and avoid potential issues related to Python version mismatches. Knowing which Python version is running in your Jupyter notebook is essential for compatibility, syntax, and project requirements. In this example, we have two Python kernels available: Python 3 (with an unspecified minor version) and Python 3.8. Python3.8 /opt/anaconda3/share/jupyter/kernels/python3.8 Python3 /opt/anaconda3/envs/myenv/share/jupyter/kernels/python3 The Python version can be found in the path or directory name, such as “python3” or “python3.8”.įor example, the output may look like this: Available kernels: The output will display a list of available Jupyter kernels, along with their paths.Type the following command and press Enter:.This command lists the available Jupyter kernels and their associated Python versions. If you prefer working with the command line or need to check the Python version before launching your Jupyter notebook, you can use the jupyter kernelspec list command. ![]() In such cases, it’s recommended to use the sys module method described earlier. Please note that this method may not always be accurate, especially if you have multiple Python environments or kernels installed. ![]() It should display the Python version, such as “Python 3”. Look for the kernel indicator in the top right corner of the window.Open your Jupyter notebook in the browser.To check the Python version using the interface: When using the default Jupyter Notebook or JupyterLab, the Python version is often displayed in the top right corner of the window. Method 2: Using the Jupyter Notebook InterfaceĪnother way to determine the Python version running in your Jupyter notebook is to check the notebook interface itself. Running this cell will display the Python version as a string, such as “3.8.5 (default, Jan 27 2021, 15:41:15)”. In a new code cell, type the following code:. ![]() You can use the sys.version_info attribute to get the Python version as a tuple of integers. The sys module provides access to some variables used or maintained by the interpreter and functions that interact with the interpreter. One of the easiest ways to determine the Python version running in your Jupyter notebook is to use the built-in sys module. Now that we understand the importance of knowing which Python version is running in your Jupyter notebook, let’s discuss the different methods you can use to find this information. Project Requirements: If you are working on a project that requires a specific Python version, you need to ensure that your Jupyter notebook is running the correct version to avoid potential issues during development. ![]() Knowing which version you are using will help you avoid potential syntax errors when writing code in Jupyter notebooks. Syntax Changes: There have been significant syntax changes between Python 2 and Python 3. Knowing your Python version will help you determine if your current environment is suitable for a particular package. Why is Knowing Your Python Version Important?īefore diving into the methods to determine which Python version is running in your Jupyter notebook, let’s discuss why it’s important to know this information in the first place.Ĭompatibility: Some Python packages or libraries may require a specific version of Python to run correctly.
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