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  • Python: Anaconda managerment Python

    Xx_Introduction

    The open-source Anaconda Individual Edition (formally Anaconda Distribution) is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 19 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:
    Quickly download 7,500+ Python/R data science packages
    Manage libraries, dependencies, and environments with Conda
    Develop and train machine learning and deep learning models with scikit-learn, TensorFlow, and Theano
    Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba
    Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews

    links
    https://www.anaconda.com/
    https://www.cnblogs.com/yanghongtao/p/10928218.html

    Ax_Specification

    Anaconda Navigtor: a graphical user interface for managing toolkits and environments, and many of the following administrative commands can also be implemented manually in the Navigator.Jupyter notebook: a web-based interactive computing environment for editing human-readable documents that show the process of data analysis.Qtconsole: an executable IPython simulation terminal graphical interface program, compared with the Python Shell interface, qtconsole can directly display the code generated graphics, achieve multi-line code input execution, and many built-in useful functions and functions.Spyder: a cross-platform, scientific computing integrated development environment using the Python language.

    Bx_Environment Configuration

    add system environment variable path

    Cx_Usage


    xa_CMD check

    conda -V
    

    xb_Use anaconda prompt

    xc_input anaconda environment

    activate
    

    xd_create new environment

    conda create -n [name] python=[version]
    y
    

    new python enironment no module.need you get install.

    xe_show list

    conda env list
    

    xf_use commmand

    activate [environment name]
    

    xg_extend packet

    #install
    conda install [packet]
    or
    pip install [packet]
    #remove
    conda remove [packet]
    or
    pip uninstall [packet]
    

    e.g

    xh_check parket list

    conda list
    

    xi_import and export enironment

    #export
    conda env export > [path.yaml]
    #import
    conda env create -f [path.yaml]
    





    Dx_Aanaconda + Pycharm

    Pycharm :setting => project => project Interpreter =>Add local
    add python.exe interpreter


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  • 原文地址:https://www.cnblogs.com/enomothem/p/12493250.html
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