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Letzte Überarbeitung
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en:jupyter-anaconda [2021/12/03 10:25]
andres_romero angelegt |
en:jupyter-anaconda [2022/03/04 07:53]
martin |
| [[https://www.anaconda.com/products/individual|Anaconda]] is an open source environment for the Python and R programming languages that already includes many different software modules such as development environment [[https://www.spyder-ide.org/|Spyder]], command line interpreter [[http://ipython.org/|IPython]] and the web-based interactive environment [[https://jupyter.org/|Jupyter]]. The installation takes about 3 GigaByte on your local hard disk. | [[https://www.anaconda.com/products/individual|Anaconda]] is an open source environment for the Python and R programming languages that already includes many different software modules such as development environment [[https://www.spyder-ide.org/|Spyder]], command line interpreter [[http://ipython.org/|IPython]] and the web-based interactive environment [[https://jupyter.org/|Jupyter]]. The installation takes about 3 GigaByte on your local hard disk. |
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| [[https://docs.conda.io/en/latest/miniconda.html|Miniconda]] is a minimal version of Anaconda, but it includes all features relevant for our tutorials. Compared to Anaconda, Miniconda also lacks the GUI tools (Graphic User Interface Tools) and thus you have to rely on the input and output in Terminal (Command Window) to start the Jupyter notebooks. Miniconda is a minimal version of Anaconda. Miniconda requires about 1 GigaByte of your hard disk. | [[miniconda:en|Miniconda]] is a minimal version of Anaconda, but it includes all features relevant for our tutorials. Compared to Anaconda, Miniconda also lacks the GUI tools (Graphic User Interface Tools) and thus you have to rely on the input and output in Terminal (Command Window) to start the Jupyter notebooks. Miniconda is a minimal version of Anaconda. Miniconda requires about 1 GigaByte of your hard disk. |
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| In the context of the project, the implementation of Jupyter Notebook included in Miniconda and Anaconda is mainly used, supplemented by a Python environment specially developed for the project. | In the context of the project, the implementation of Jupyter Notebook included in Miniconda and Anaconda is mainly used, supplemented by a Python environment specially developed for the project. |