{"id":15914369,"url":"https://github.com/huangcongqing/python-libraries","last_synced_at":"2026-03-09T23:02:17.803Z","repository":{"id":49306772,"uuid":"174358782","full_name":"HuangCongQing/python-libraries","owner":"HuangCongQing","description":"python库(numpy,pandas...)学习","archived":false,"fork":false,"pushed_at":"2025-01-23T02:51:16.000Z","size":21682,"stargazers_count":1,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-18T14:53:40.217Z","etag":null,"topics":["matplotlib","numpy","pandas","python3","xgboost"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HuangCongQing.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-03-07T14:23:01.000Z","updated_at":"2025-01-23T02:51:19.000Z","dependencies_parsed_at":"2023-02-18T04:00:44.753Z","dependency_job_id":"f781b785-a191-4161-844c-8e40dce09c2c","html_url":"https://github.com/HuangCongQing/python-libraries","commit_stats":{"total_commits":159,"total_committers":3,"mean_commits":53.0,"dds":"0.12578616352201255","last_synced_commit":"8530845353885409e3597b3c4dbb13910e1089cd"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpython-libraries","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpython-libraries/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpython-libraries/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpython-libraries/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HuangCongQing","download_url":"https://codeload.github.com/HuangCongQing/python-libraries/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245022436,"owners_count":20548541,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["matplotlib","numpy","pandas","python3","xgboost"],"created_at":"2024-10-06T17:02:00.177Z","updated_at":"2026-03-09T23:02:17.796Z","avatar_url":"https://github.com/HuangCongQing.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# python-libraries\n\npython库(numpy,pandas...)学习\n\n总结文档：https://www.yuque.com/huangzhongqing/lang/vl43ut\n\n加载github jupyter文件网址：https://nbviewer.jupyter.org/\n\n注：开始用py文件写的，后面用的jupyter写的，可以写文档，更方便日后看，更容易看懂！\n**环境： win7 python35**\n\n* python基础：https://github.com/HuangCongQing/Python\n\n# libraries\n\n* 虚拟环境安装 ： [anaconda_environments](anaconda_environments)\n  * tensorflow=1.11.0\n  * torch==1.4.0\n\n#### [01Numpy](./01Numpy)\n\n* 矩阵运算\n\n1. [学习莫凡讲解视频](https://www.bilibili.com/video/av16378934/)\n\n```\nC =np.concatenate((A,B,B,A),axis=0) #行操作，纵向合并\nprint(C)\nC =np.concatenate((A,B,B,A), axis=1) #列操作，横向合并\n```\n\n#### [02Pandas](./02Pandas)\n\n* 数据分析处理库Pandas，基于Numpy\n\n#### [03Matplotlib](./03Matplotlib)\n\n画图-可视化工具\n\n笔记：ttps://www.yuque.com/huangzhongqing/lang/gv9n6f\n\n菊安酱和菜菜的Python可视化\n\n中文版[数据分析最有用的 Top 50 Matplotlib 图（附完整的Python代码](https://cloud.tencent.com/developer/article/1535159#:~:text=%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E6%9C%80%E6%9C%89%E7%94%A8%E7%9A%84%20Top%2050%20Matplotlib%20%E5%9B%BE%EF%BC%88%E9%99%84%E5%AE%8C%E6%95%B4%E7%9A%84Python%E4%BB%A3%E7%A0%81%EF%BC%89%20%28%E4%B8%8A%29%201%201.%E5%85%B3%E8%81%94,6%206.%E5%8F%98%E5%8C%96%207%207.%E5%88%86%E7%BB%84%208%201.%E6%95%A3%E7%82%B9%E5%9B%BE%209%202.%E5%B8%A6%E8%BE%B9%E7%95%8C%E7%9A%84%E6%B0%94%E6%B3%A1%E5%9B%BE.)\n\n英文原版：[https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/](https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/)\n\n* 代码目录： [03Matplotlib/Python可视化Top50Matplotlib](03Matplotlib/Python可视化Top50Matplotlib)\n\n#### [04Seaborn](./04Seaborn)\n\n* Seaborn基于Matplotlib\n  * 更简洁的语法\n  * 了解df，更轻松从CSV绘制数据\n  * 将包含许多行数据的Pandas DataFrames汇总到聚合图表中\n\n#### [05Scikit-learn](./05Scikit-learn)\n\n\n\n\n\n#### transformer(huggingface)\n* [10transformers](10transformers)\n\ndocs\n* https://github.com/ChuanLeiYang/FourthAICourseExercises\n\n\n\n---\n\n学习素材：[给深度学习入门者的Python快速教程 - numpy和Matplotlib篇](https://zhuanlan.zhihu.com/p/24309547)\n\n...\n\n### Install\n\n```\n# cv2(镜像下载)\npip install -i https://pypi.tuna.tsinghua.edu.cn/simple opencv-python\n````\n\n---\n\n# 2 Python-module Download\n\npython直接install安装不了一些python包，下载的whl文件集合\n\n### whl文件集合\n\n下载whl链接：https://www.lfd.uci.edu/~gohlke/pythonlibs/\n\n#### python35\n\n* [numpy](./python3/numpy-1.13.3+mkl-cp35-cp35m-win_amd64.whl)\n* [scipy](./python3/scipy-1.0.0rc1-cp35-cp35m-win_amd64.whl)\n* [xgboost](./python3/xgboost-0.6-cp35-cp35m-win_amd64.whl)\n* [matplotlib](./python3/matplotlib-1.5.0-cp35-none-win_amd64.whl)\n* [wordcloud](./python3/wordcloud-1.4.1-cp35-cp35m-win_amd64.whl)\n\n### 下载库文件\n\n如果是python2(python2.exe)\n`python2 -m pip install 库名`\n\n如果是python3（python3.exe）\n`python3 -m pip install 库名`\n\n如果不能下载报错，尝试下面两种方式\n\n### 其他下载库文件两种方式\n\n#### 一、下载whl文件方式\n\n1. 命令行执行\n   `pip install wheel `\n2. 下载相应版本的lxml后缀为.whl的文件\n   https://www.lfd.uci.edu/~gohlke/pythonlibs/\n3. 安装\n\n到包含`.whl`的文件夹下，打开命令行窗口\n命令行执行\n\n`pip install 文件名.whl`\n\n完成\n\n#### 二、下载库文件安装压缩包\n\n1. 下载对应库文件的压缩包\n2. 将压缩包解压到对应位置\n3. 安装（解压文件夹里有setup.py）\n\n执行\n`python setup.py install`\n\n安装完成\n\n### License\n\nCopyright (c) [ChungKing](https://github.com/HuangCongQing). All rights reserved.\n\nLicensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuangcongqing%2Fpython-libraries","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuangcongqing%2Fpython-libraries","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuangcongqing%2Fpython-libraries/lists"}