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Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.
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What is Anaconda Python & R?
- I Get It, Anaconda Saves Time, That’S It?
- What’s Included with Anaconda?
- Anaconda vs. Miniconda
Imagine a scenario where a co-worker is joining your data analysis project. You show her what your program looks like, she tries to run it on her own system, but gets the following error: It looks like your co-worker does not have all the required packages installed to run your program. If both of you would have Anaconda installed you wouldn’t run ...
An open-source package and environment management system called Conda, which makes it easy to install/update packages and create/load environments.Machine learning libraries like TensorFlow, scikit-learn and Theano.Data science libraries like pandas, NumPy and Dask.Visualization libraries like Bokeh, Datashader, matplotlib and Holoviews.If you have the feeling that installing Anaconda with all its packages is overkill because you still live in 1995 and your computer space is extremely limited consider giving Miniconda a shot. Miniconda only includes the Python interpreter and the package manager Conda so the choice of which packages to install is up to you. Don’t know which to cho...
Anaconda® Distribution is a Python/R data science distribution that contains: conda - a package and environment manager for your command line interface. Anaconda Navigator - a desktop application built on conda, with options to launch other development applications from your managed environments.
This document is here to help you get started with Anaconda Distribution, which includes conda, Anaconda Navigator, and over 300 scientific and machine learning packages. Should I use Anaconda Navigator or conda?
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Anaconda Code empowers you to write Python code and run it locally, directly within Excel. This gives you flexibility and control over the Python environment in your workbook, allowing you to add and remove packages as needed, all while keeping code and data securely within your workbook.