How to check the installed version of Python | Jupyter Notebook | Python Data Science for beginners

How to check the installed version of Python

 

Python is a popular, high-level programming language that is widely used for various types of software development, including web development, data science, machine learning, and more. It is a powerful, versatile and easy-to-learn language that has a large and active community of developers.

To check the version of Python that is currently installed on your system, you can use the following methods:

Method 1: Using the command prompt or terminal

  • Open the command prompt or terminal
  • Type python –version and press enter

This will display the version of Python that is currently installed on your system.

Method 2: Using the Python interpreter

  • Open the command prompt or terminal
  • Type python and press enter
  • Type import sys and press enter
  • Type sys.version and press enter

This will display the version of Python that is currently installed on your system.

Method 3: Using Jupyter Notebook

  • Open Jupyter notebook
  • Type !python –version in a cell and press Shift + Enter

This will display the version of Python that is currently installed on your system.

It is important to know the version of Python that is installed on your system because different versions may have different features and compatibility with other libraries. Updating to a newer version of Python may also resolve any issues you are experiencing with the current version.

In addition, when you are working with other people or sharing your code with others, it is important to specify the version of Python you are using to ensure that the code is reproducible.

In conclusion, checking the version of Python installed on your system is an important step in managing your Python environment. The above methods can be used to check the version of Python installed on your system and helps in updating and managing the library. It is important to know the version of python that is installed because different version have different features and compatibility with other libraries.

 

In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to check the installed version of Python.



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