How to Check the Python Version in a Jupyter Notebook
Python is a dynamic language with an active development community. As a result, there are often multiple versions of Python available, and it’s essential to know which version you’re using, especially when working on projects or running code in a Jupyter Notebook. In this blog post, we’ll explore several methods to check the Python version within a Jupyter Notebook.
Method 1: Using the sys Module
Python’s sys module provides information about the Python interpreter. You can use it to check the Python version. Here’s how:
import sys
print("Python version")
print(sys.version)
Running this code cell in your Jupyter Notebook will display the Python version.
Method 2: Using platform Module
The platform module can also provide information about the Python version:
import platform
print("Python version")
print(platform.python_version())
This method will display the Python version similar to the previous approach.
Method 3: Using the ! Shell Command
You can also use a shell command within a Jupyter Notebook cell to check the Python version. Simply prefix the command with an exclamation mark !:
!python --version
Running this cell will print the Python version in the output.
Method 4: Displaying Python Version Information
To get more detailed information about the Python version, you can use the sysconfig module:
import sysconfig
print("Python version information")
print(sysconfig.get_config_var('py_version'))
This will provide information about the Python version, including details like the compiler used and build flags.
Knowing the Python version you’re using is crucial for ensuring compatibility with libraries and packages in your projects. In this blog post, we’ve explored multiple methods to check the Python version within a Jupyter Notebook. Whether you prefer using Python modules or shell commands, these methods will help you quickly determine your Python version.
Keeping your Python environment up-to-date is essential for staying current with the latest features and security updates. So, make it a habit to check your Python version regularly, especially when starting a new project or working in a Jupyter Notebook.
Feel free to use this blog post as a reference to help you and others check the Python version within a Jupyter Notebook. If you want to get updated, like my facebook page https://www.facebook.com/LearningBigDataAnalytics and stay connected.
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About The Author
Minhajur Rahman Khan
Professional Experience in Machine Learning with R & Python, Oracle Certified Associate, Google Certified Data Analytics Specialization, IBM Certified Data Science Professional, IBM Certified Data Analyst Professional... For more details visit: https://www.linkedin.com/in/minhajrk/