![]() ![]() This page will demo the free option, but I'm assuming that the paid product is similar after install. The company supports Python data tooling and makes the distribution available as a free product, but also as a supported enterprise paid for product. Using Anaconda TLDR: Use these to create an environment using AnacondaĪnaconda is both a product and a company. If you are new to Python, only doing "data science" work, or using Windows, I recommend using Anaconda. You can use the Python executable that you can get from the Python website, or you can use the Anaconda distribution. You have two main options for installing a Python environment. These examples will use Python 3 (which I recommend as Python 2 is no longer being developed). Here are instructions for getting a Python stack installed on Windows, Mac, and Linux. You can set up your environment using either method with three commands
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