How to check installed version of NumPy
NumPy is a powerful library for scientific computing in Python. It provides an array object, a powerful N-dimensional array that is the foundation for many other libraries such as SciPy, Matplotlib and Pandas. NumPy is widely used for mathematical and scientific computations in Python, and it is an essential library for many data science and machine learning tasks.
To check the version of NumPy 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 numpy and press enter
- Type numpy.version and press enter
This will display the version of NumPy that is currently installed on your system.
Method 2: Using the pip package manager
- Open the command prompt or terminal
- Type pip show numpy and press enter
This will display the details of the numpy package including the version number.
Method 3: Using Jupyter Notebook
- Open Jupyter notebook
- Type !pip show numpy in a cell and press Shift + Enter
This will display the details of the numpy package including the version number.
It is important to know the version of NumPy that is installed on your system because different versions may have different features and compatibility with other libraries. Updating to a newer version of NumPy 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 NumPy you are using to ensure that the code is reproducible.
In conclusion, checking the version of NumPy 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 NumPy 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 NumPy.
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