NumPy is a general-purpose array processing package which provides tools for handling the n-dimensional arrays. It provides various computing tools such as comprehensive mathematical functions and linear algebra routines.

Pandas is an easy-to-use data analysis and manipulation tool, built on top of the Python programming language. Scikit-learn is a simple and efficient tool for predictive data analysis. It provides various tools for model fitting, data preprocessing, model selection, model evaluation, and many other utilities. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Key features of Numpy:

• Multidimensional Arrays.
• It contains tools for integrating code from other languages.
• Open-source.
• Efficient Element-wise Operations.

Key features of Pandas:

Key features of Scikit-learn:

Key features of Matplotlib:

To check the installation of NumPy, Pandas, Scikit-learn and Matplotlib go through the steps given: 1. Open the windows command prompt as administrator. 2. Change the directory to C:\. 3. Activate the virtual environment by running the following command: myenv\Scripts\activate 4. Verify that above mentioned libraries are installed by running the following commands: i)pip show numpy ii)pip show pandas iii) pip show scikit-learn iv) pip show matplotlib If each tool is installed correctly, you will see output that includes the version, location and dependencies of each tool.

Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open-source licenses. 

Default ports:

• RDP: 3389