conda install -n base -c conda-forge numpy pandas scipy matplotlib pillow openpyxl requests tqdm pyyaml ipython jupyterlab rich packaging -y或者python -m pip install --prefer-binary numpy pandas scipy matplotlib Pillow openpyxl requests tqdm PyYAML ipython jupyterlab rich packaging软件包用途numpy数组、矩阵和基础数值计算pandasCSV、Excel 和表格数据处理scipy科学计算、优化、统计matplotlib基础绘图pillow图片读取、缩放、裁剪和保存openpyxl读写.xlsx文件requestsHTTP 下载和接口请求tqdm进度条pyyamlYAML 配置文件ipython更方便的交互式 PythonjupyterlabNotebook 和数据分析环境rich终端彩色输出、表格和进度显示packaging版本号与包版本判断conda install -n base -c conda-forge seaborn scikit-learn statsmodels sympy plotly xlrd xlsxwriter beautifulsoup4 lxml -y或者python -m pip install --prefer-binary seaborn scikit-learn statsmodels sympy plotly xlrd XlsxWriter beautifulsoup4 lxmlseaborn统计图scikit-learn传统机器学习statsmodels回归、时间序列和计量分析sympy符号计算plotly交互式绘图xlrd读取旧版.xlsxlsxwriter生成格式丰富的 Excelbeautifulsoup4、lxmlHTML/XML 解析。