An enterprise security policy blocks outbound internet traffic for desktops. An entry-level data analyst therefore needs a single installer that will (1) place Python on her Windows laptop, (2) pre-load core analysis libraries such as pandas, NumPy, SciPy and Jupyter Notebook, and (3) give her a point-and-click interface for creating isolated environments and installing additional packages even when working offline. According to the CompTIA Data+ list of common packages/libraries, which tool best meets these requirements?
Anaconda Distribution is specifically designed to give data professionals an "all-in-one" setup. The installer ships with its own copy of Python plus hundreds of vetted open-source packages- including pandas, NumPy, SciPy and Jupyter- that work together out of the box. It also installs Conda and Anaconda Navigator, a graphical utility that lets users create, clone and manage environments or install additional packages; Navigator even provides an offline mode when internet access is unavailable. pip is only a command-line package installer and does not bundle Python or provide a GUI. tidyverse is an R-centric collection of libraries, not a self-contained Python environment. Visual Studio Code is a code editor/IDE; while it can open notebooks, it does not deliver Python or data-science libraries by itself. Therefore, Anaconda Distribution is the only choice that satisfies all of the stated requirements.
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CompTIA Data+ DA0-002 (V2)
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