pip list Check dependencies pip check Verify package info pip show package_name System requirements validation RequirementVerification MethodExample Output Python Version python -V Python 3.9.7 Dependencies pip check No broken dependencies System Libraries ldd (Linux) / otool -L (macOS) / dumpbin /dep...
1. 文件路径glob importglob path_li = glob.glob('data/*.wav')# 获得 data 文件夹下所有 '.wav' 文件的路径# Return: list 类型 2. 文件路径os 1 path 路径操作 os.path.abspath(path)返回文件的绝对路径 如果path带磁盘目录(如C:),则返回值不变 如果path带磁盘目录,则返回os.path.join(os.getcwd...
There are so many amazing Python libraries out there that it's hard to keep track of all of them. That's why we share with you our hand-picked selection of some top libraries.
Python 常用自带 libraries - collections 1.collections库 1.1Counter对象 常用方法 .elements() 返回:iter 类型;返回所有的元素(会重复出现) .most_common(n): 参数:n:nn个最常见的元素及出现次数,按频数由高到低排序;默认为 None,返回所有的元素 返回:list 类型,每个元素为二元 tuple 类型 .total(): 返回:...
An opinionated list of awesome Python frameworks, libraries, software and resources. - vinta/awesome-python
stdlib-list This package includes lists of all of the standard libraries for Python 2.6 through 3.13. IMPORTANT: If you're on Python 3.10 or newer, youprobably don't need this library. Seesys.stdlib_module_namesandsys.builtin_module_namesfor similar functionality. ...
Python continues to take leading positions in solving data science tasks and challenges. Last year we made ablog postoverviewing the Python’s libraries that proved to be the most helpful at that moment. This year, we expanded our list with new libraries and gave a fresh look to the ones ...
https://Maximusarthur/awesome-python:A curated list of awesome Python frameworks, libraries, ...
So many Python libraries exist that offer powerful and efficient foundations for supporting your data science work and machine learning model development. While the list may seem overwhelming, there are certain libraries you should focus your time on, as they are some of the most commonly used tod...
# Libraries import matplotlib.pyplot as plt # Make data: I have 3 groups and 7 subgroups # 设置数据 group_names=['groupA', 'groupB', 'groupC'] group_size=[12,11,30] subgroup_names=['A.1', 'A.2', 'A.3', 'B.1', 'B.2', 'C.1', 'C.2', 'C.3', 'C.4', 'C.5...