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What is Anaconda and Jupyter Notebook
Anaconda and Jupyter Notebook are two popular tools used in data science and scientific computing with Python.

Anaconda is a free, open-source distribution of the Python programming language that is designed for data science and scientific computing. It includes many of the most popular Python packages used for data science, such as NumPy, Pandas, Matplotlib, and Scikit-learn, as well as tools for managing packages and environments. Anaconda also includes a package manager called Conda, which makes it easy to install and manage packages for Python and other programming languages.

Jupyter Notebook, formerly known as IPython Notebook, is a web-based interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is often used for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and more. Jupyter Notebook supports many programming languages, including Python, R, Julia, and others, but it is most commonly used with Python.

Jupyter Notebook is included in the Anaconda distribution and can be launched from the Anaconda Navigator or from the command line. Once launched, Jupyter Notebook provides a web-based interface that allows you to create and edit notebooks, run code cells, visualize data, and share your work with others.

Overall, Anaconda and Jupyter Notebook are powerful tools that make it easy to get started with data science and scientific computing in Python. They provide a wide range of functionality and are widely used in the data science community.
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