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- Anyone who wants a brief introduction to Python and the key components of its data science stack, and - Python programmers who want a quick refresher on using Python for data analysis. We do not expect any of our readers to have a formal background in computer science, although some familiarity with programming would be nice to have.
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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
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A basic Python program is loaded and executed by the CPython virtual machine, so both the runtime and the program itself consume computing resources. A Cython program is compiled to C code, which is further compiled to machine code, so the virtual machine is used only briefly when the program is loaded.
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A-A-P, a tool used to download, build and install software via Makefile-like "recipes"; Anaconda (installer), an open-source system installer for Linux distributions primarily used in Fedora Linux, CentOS, and Red Hat Enterprise Linux.