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  2. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    The design of a dashboard is more loosely defined. Dashboards are usually a series of graphics, charts, gauges and other visual indicators that can be monitored and interpreted. Even when there is a strategic link, on a dashboard, it may not be noticed as such since objectives are not normally present on dashboards.

  3. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Used to teach, explain and/or simply concepts. For example, organisation charts and decision trees. idea generation (conceptual & exploratory). [64] Used to discover, innovate and solve problems. For example, a whiteboard after a brainstorming session. visual discovery (data-driven & exploratory). [64] Used to spot trends and make sense of data.

  4. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    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.

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:

  6. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming. Vim, with "lang#python" layer enabled. [2]

  7. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]

  8. Home Assistant - Wikipedia

    en.wikipedia.org/wiki/Home_Assistant

    The project was started as a Python application by Paulus Schoutsen in September 2013 and first published publicly on GitHub in November 2013. [24]In July 2017, a managed operating system called Hass.io was initially introduced to make it easier to use Home Assistant on single-board computers like the Raspberry Pi series.

  9. Python Package Index - Wikipedia

    en.wikipedia.org/wiki/Python_Package_Index

    The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.