Only the individual version is going to be discussed here. If you’re a team or an enterprise, then you’ll have to check out the other paid-for versions. You can easily install Anaconda by heading to their website and downloading the free individual version. Let’s start with the installation of Anaconda. Activating the newly created environment.In this brief tutorial, you will learn how to: You can easily install Jupyter Notebooks via the Anaconda GUI, in fact, it is the recommended way to install Jupyter. If you’re a beginner at Python, then you’ll most definitely want to use Jupyter Notebooks for your Python projects and practice. If you require additional packages to run your project, simply install them via the Anaconda GUI, conda or pip.Īnaconda handles the package management, managing dependencies between different packages and also allows you to switch between Python 2 and 3. Moreover, many of the most commonly used and famous packages like numpy, scikit-learn, scipy and pandas come pre-installed with Anaconda.

What is Anaconda?Īnaconda allows you to easily manage your data science projects by providing you the power to manage packages and environments, while also installing the latest version of Python on your system. With that said, many people prefer to simply install Anaconda for Python. You can manage your packages and create new environments programmatically after installing Python on your system. This not only reduces the size of your Python projects but also improves the readability, maintainability and overall durability by ensuring that only the required packages are maintained. A virtual environment is a way to isolate projects into different environments to reduce clashes between dependencies, improve project structure and remove extra packages. It is advisable to use virtual environments while working with Python.

Anaconda windows