Python3基础 sys.path.append 增加模块的搜索路径

Posted 2021-01-10 xingchuxin

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•                    python : 3.7.0
•                           OS : Ubuntu 18.04.1 LTS
  
•                          IDE : PyCharm 2018.2.4
•                      conda : 4.5.11
•            type setting : Markdown

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code

"""
@Author : 行初心
@Date   : 18-10-2
@Blog   : www.cnblogs.com/xingchuxin
@GitHub : github.com/GratefulHeartCoder
"""
import sys
import os


def main():
    path = os.path.abspath(os.curdir)
    print(path)
    path = str(path)

    # 用+连接字符串，好用 。但是连接大量的字符串就不好了。要用自带的函数
    new_path = path + ‘/MyModuleFile‘
    print(new_path)

    print("旧", sys.path)

    # 将MyModuleFile(跟主代码在一起的文件夹)添加到搜索路径当中
    sys.path.append(new_path)

    print("新", sys.path)
    # 也可以进行优化，删除不必要的显示后成为一个函数。方便以后调用


if __name__ == ‘__main__‘:
    main()

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result

/home/coder/anaconda3/envs/py37/bin/python /home/coder/PycharmProjects/base/demo.py
/home/coder/PycharmProjects/base
/home/coder/PycharmProjects/base/MyModuleFile
旧 [‘/home/coder/PycharmProjects/base‘, ‘/home/coder/PycharmProjects/base‘, ‘/home/coder/anaconda3/envs/py37/lib/python37.zip‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7/lib-dynload‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7/site-packages‘, ‘/home/coder/pycharm-2018.2.4/helpers/pycharm_matplotlib_backend‘]
新 [‘/home/coder/PycharmProjects/base‘, ‘/home/coder/PycharmProjects/base‘, ‘/home/coder/anaconda3/envs/py37/lib/python37.zip‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7/lib-dynload‘, ‘/home/coder/anaconda3/envs/py37/lib/python3.7/site-packages‘, ‘/home/coder/pycharm-2018.2.4/helpers/pycharm_matplotlib_backend‘, ‘/home/coder/PycharmProjects/base/MyModuleFile‘]

Process finished with exit code 0

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resource

• [文档] https://docs.python.org/3/
• [规范] https://www.python.org/dev/peps/pep-0008/
• [规范] https://zh-google-styleguide.readthedocs.io/en/latest/google-python-styleguide/python_language_rules/
• [源码] https://www.python.org/downloads/source/
• [ PEP ] https://www.python.org/dev/peps/
• [平台] https://www.cnblogs.com/

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Python具有开源、跨平台、解释型、交互式等特性，值得学习。
Python的设计哲学：优雅，明确，简单。提倡用一种方法，最好是只有一种方法来做一件事。
代码的书写要遵守规范，这样有助于沟通和理解。
每种语言都有独特的思想，初学者需要转变思维、踏实践行、坚持积累。