Jupyter Notebook documents take statements similar to REPL additionally it also provides code completion, plots, and rich media. Anaconda is a Python distribution which includes over 400 Python packages for science, math, engineering, and data analysis. Jupyter Notebook is an interactive web UI environment to create notebook documents for python, R languages. Anaconda is the most used distribution platform for python & R programming languages in the data science & machine learning community as it simplifies the installation of packages like pandas, NumPy, SciPy, and many more. In this article you have learned how to install Anaconda distribution on windows and using Jupyter notebook. I have tried my best to lay out step-by-step instructions, In case I miss any or If you have any issues installing, please comment below. This completes installing Anaconda on windows and running Jupyter Notebook. On Jupyter, each cell is a statement, so you can run each cell independently when there are no dependencies on previous cells. It also easily creates, saves, loads, and switches between environments on your local computer.

Conda quickly installs, runs, and updates packages and their dependencies. Tip If you are unsure which option to download, choose the most recent version of Anaconda3.

You can also choose a version with a GUI or a command line installer. Now select New -> PythonX and enter the below lines and select Run. Conda is an open-source package and environment management system that runs on Windows, macOS, and Linux. You can download any of these 3 options with legacy Python 2.7 or current Python 3.

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