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

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How to check installed version of Pandas

 

Pandas is a powerful library for data manipulation and analysis in Python. It provides data structures and functions for working with structured data, such as data frames and series, which are similar to tables and arrays in other programming languages. Pandas is widely used for cleaning, manipulating, transforming and analyzing data in Python, and it is an essential library for many data science and machine learning tasks.

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

Method 1: Using the python interpreter

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

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

Method 2: Using the pip package manager

  • Open the command prompt or terminal
  • Type pip show pandas and press enter

This will display the details of the pandas package including the version number.

Method 3: Using Jupyter Notebook

  • Open Jupyter notebook
  • Type !pip show pandas in a cell and press Shift + Enter

This will display the details of the pandas package including the version number.

It is important to know the version of Pandas that is installed on your system because different versions may have different features and compatibility with other libraries. Updating to a newer version of Pandas 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 Pandas you are using to ensure that the code is reproducible.

In conclusion, checking the version of Pandas installed on your system is an important step in managing your Python environment and ensuring that your code is compatible with the libraries you are using. The above methods can be used to check the version of Pandas installed on your system and helps in updating and managing the library.

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 installed version of Pandas.

 

How to check installed version of Pandas:



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