{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# **App Project**\n", "\n", "## 1.\u9879\u76ee\u7c7b\u578b\u4ecb\u7ecd\n", "\n", "  - \u5e94\u7528(App)\u662f\u7531\u6a21\u5757\u7ec4\u6210\u3001\u6709\u7279\u5b9a\u529f\u80fd\u7684\u8f6f\u4ef6\u7a0b\u5e8f\u3002\u5b83\u80fd\u591f\u6ee1\u8db3\u666e\u901a\u7528\u6237\u7684\u76f4\u63a5\u4f7f\u7528\u9700\u6c42\uff0c\u4f8b\u5982\u822a\u73ed\u5ef6\u8bef\u9884\u6d4b\u5e94\u7528\u3001\u592b\u59bb\u8138\u5e94\u7528\u7b49\u3002\u4f60\u53ef\u4ee5\u5c06\u5f00\u53d1\u597d\u7684App\u90e8\u7f72\u5230\u5e94\u7528\u5e02\u573a\uff0c\u5176\u4ed6\u5bf9\u4f60\u7684App\u611f\u5174\u8da3\u7684\u4eba\u5c31\u53ef\u4ee5\u901a\u8fc7api\u8c03\u7528\u7684\u65b9\u5f0f\u4f7f\u7528\u60a8\u7684App,\u4e5f\u53ef\u4ee5\u901a\u8fc7\u6211\u4eec\u7684\u5ba2\u6237\u7aef\u5728\u624b\u673a\u4e0a\u8fdb\u884c\u4f7f\u7528App\u3002\n", "  \n", "  - \u5728\u4f60\u5f00\u53d1App\u7684\u8fc7\u7a0b\u4e2d\u53ef\u4ee5\u5f15\u5165\u6a21\u5757(Module)\u548c\u6570\u636e\u96c6(Dataset)\u6765\u66f4\u597d\u7684\u521b\u5efa\u4f60\u7684App\u3002\n", "  \n", "  - App\u76ee\u5f55\u7ed3\u6784:\n", "  \n", "    - ```results```\n", "    *-----\u7ed3\u679c\u7684\u6587\u4ef6\u5b58\u653e\u5730(\u5982\u679c\u4f60\u8fd0\u884c\u4e86job\uff0cjob\u8fd0\u884c\u5b8c\u7684\u7ed3\u679c\u6587\u4ef6\u4e5f\u4f1a\u5b58\u653e\u4e8e\u6b64)*\n", "    - ```app_spec.yml```*-----\u5b9a\u4e49\u4f60\u7684\u8f93\u5165\u8f93\u51fa\uff0c\u4e3a\u90e8\u7f72\u670d\u52a1*\n", "    - ```OVERVIEW.md``` *-----\u6709\u5173\u8fd9\u4e2aapp\u7684\u76f8\u5173\u4ecb\u7ecd*\n", "    - `READE.ME` *-----\u8bf4\u660e\u6587\u6863*"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## 2.\u7b80\u5355\u73af\u5883\u4ecb\u7ecd\n", "\n", "Notebook(\u5c31\u662f\u4f60\u73b0\u5728\u6240\u5904\u7684\u9875\u9762)\uff0c\u5b83\u662f\u4e00\u4e2a\u5728\u7ebf\u7684\u7c7bIDE\u7f16\u7a0b\u73af\u5883\uff0c\u5185\u5d4c\u4e86JupyterLab\u73af\u5883\uff0c\u5e76\u4e14\u52a0\u5165\u6570\u636e\u96c6\u548c\u6a21\u5757\u7684\u8c03\u7528\u529f\u80fd\u3002\u6211\u4eec\u8fd8\u5728Classroom\u4e3a\u521d\u5b66\u8005\u63d0\u4f9b\u4e86\u673a\u5668\u5b66\u4e60\u7684\u5165\u95e8\u6559\u7a0b\u3002\u6b64\u5916\u6211\u4eec\u7b80\u5316\u4e86\u90e8\u7f72\u8fc7\u7a0b\uff0c\u4e3a\u4f60\u63d0\u4f9b\u66f4\u4fbf\u6377\u7684\u5f00\u53d1\u6d41\u7a0b\u3002"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## 3.\u5e38\u7528\u529f\u80fd\u4ecb\u7ecd\n", "\n", "- \u5982\u4f55\u8fd0\u884c\u4ee3\u7801\uff1f\n", "\n", "\u5728\u4ee3\u7801\u5355\u5143\uff08cell\uff09\u91cc\uff0c\u60a8\u53ef\u4ee5\u8f93\u5165\u4efb\u4f55\u4ee3\u7801\u5e76\u6267\u884c\u3002\"Shift+Enter/Return\"\uff0c\u4ee3\u7801\u5c06\u88ab\u8fd0\u884c\uff0c\u5e76\u663e\u793a\u7ed3\u679c\u3002\u540c\u65f6\u5207\u6362\u5230\u65b0\u7684cell\u4e2d\u3002\n", "\n", "- \u5982\u4f55\u89e3\u538b\u4e0a\u4f20\u540e\u7684\u6587\u4ef6\uff1f\n", "\n", "\u5728cell\u4e2d\u8f93\u5165\u5e76\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a\n", "```!unzip -o file_name.zip```\n", "\n", "- \u5982\u4f55\u67e5\u770b\u6240\u6709\u5305\uff08package\uff09\uff1f\n", "\n", "`!pip list --format=columns`\n", "\n", "- \u5982\u4f55\u68c0\u67e5\u662f\u5426\u5df2\u6709\u67d0\u4e2a\u5305\uff1f\n", "\n", "`!pip show package_name`\n", "\n", "- \u5982\u4f55\u5b89\u88c5\u7f3a\u5931\u7684\u5305\uff1f\n", "\n", "`!pip install package_name`\n", "\n", "- \u5982\u4f55\u66f4\u65b0\u5df2\u6709\u7684\u5305\uff1f\n", "\n", "`!pip install package_name --upgrade`\n", "\n", "\n", "- \u5982\u4f55\u4f7f\u7528\u5305\uff1f\n", "\n", "`import package_name`\n", "\n", "- \u5982\u4f55\u663e\u793a\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6863\u6848\u53ca\u76ee\u5f55\uff1f\n", "\n", "`ls`\n", "\n", "- \u5f15\u5165\u7684\u6570\u636e\u96c6\u5982\u4f55\u4f7f\u7528\uff1f\n", "\n", "\u6570\u636e\u96c6\u9879\u76ee\u5f15\u5165\u540e\u5b58\u653e\u5728datasets\u6587\u4ef6\u5939\u4e0b\uff0c\u6ce8\u610f\uff0c\u8fd9\u4e2a\u6587\u4ef6\u5939\u662f\u53ea\u8bfb\u7684\uff0c\u4e0d\u53ef\u4fee\u6539\u3002\u5982\u679c\u9700\u8981\u4fee\u6539\uff0c\u53ef\u5728notebook\u4e2d\u4f7f\u7528\n", "\n", "`!cp -R ./datasets/<imported_dataset_dir>  ./<your_folder>`\n", "\n", "\u6307\u4ee4\u5c06\u5176\u590d\u5236\u5230\u5176\u4ed6\u6587\u4ef6\u5939\u540e\u518d\u7f16\u8f91\uff0c\u5bf9\u4e8e\u5f15\u5165\u7684\u6570\u636e\u96c6\u4e2d\u7684zip\u6587\u4ef6\uff0c\u53ef\u4f7f\u7528\n", "\n", "`!unzip ./datasets/<imported_dataset_dir>/<XXX.zip> -d ./<your_folder>`\n", "\n", "\u6307\u4ee4\u89e3\u538b\u7f29\u5230\u5176\u4ed6\u6587\u4ef6\u5939\u540e\u4f7f\u7528\n"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## 4.\u5176\u4ed6\u53ef\u53c2\u8003\u8d44\u6e90\n", "\n", "- docs: \u8fd9\u662f\u4e00\u4e2a[\u5e2e\u52a9\u6587\u6863](http://docs.momodel.cn/)\uff0c\u57fa\u672c\u64cd\u4f5c\u548c\u5e38\u89c1\u95ee\u9898\u90fd\u53ef\u4ee5\u5728\u91cc\u9762\u627e\u5230\u3002\n"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": []}], "metadata": {"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5"}}, "nbformat": 4, "nbformat_minor": 2}