![]() ![]() Enterprise Edition includes additional capabilities around deploying models and machine learning projectsįor most people investigating Python for learning purposes it will make sense to start with individual edition, however you may find yourself needing to consider commercial edition if you are using data science for your employer.Team Edition adds additional security and governance capabilities for teams. ![]() Commercial Edition provides cloud-based repositories and curated packages and package verification and is licensed for commercial use.Individual Edition geared at individual practitioners, researchers, hobbyists, and students.The pricing page will have the most up-to-date listing of editions when you read this as well as an up-to-date feature comparison.Īs of late 2021 there are currently 4 editions of Anaconda: These packages and others not mentioned here cover the breadth of what you’ll do learning data science and on most data science projects, but you can also install additional packages into an Anaconda environment as needed. Computer vision libraries like Pillow and OpenCV.A number of dashboarding applications such as Dash for creating interactive dashboards.Matplotlib, plotly, and others for data visualization.TensorFlow, PyTorch, SciKit Learn, and Keras for machine learning.NumPy for efficient numerical analysis of series of data.Pandas for working with DataFrames that allow you to manipulate tabular data.The list of libraries included with Anaconda changes over time, so make sure to check out the current documentation for a complete list, but some highlights include: Okay, so Anaconda is good, but what is it, exactly?Īnaconda is a Python development platform that comes packaged with libraries and tools useful for data science and python development purposes. ![]()
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