[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fsM4ex5TMpfDDpNrCjrD3HjnfS0nPiMWO0ood8v5hWL0":3,"$fV-HK40kOAHkbWhMSG13QlaPgXVTXuJhvYRHzCwrbNUc":33,"$f0JdzOIAp_6k2381rXRaJ_HKi9BGzd2COvVtUM3UOyXw":74,"$fP9yXhqxbD-a6eeWV6cH9ueaInbIvcnQADD70wW85T58":85},{"ads":4,"bookConfig":31,"enableAds":13,"enableAdsVpn":13,"enableAdsVps":13,"userConfig":32},[5,12,19,25],{"coverImage":6,"description":7,"id":8,"image":9,"link":10,"title":11},"https://cdn.alltool.top/image/detail/fanai_ad.jpg","一顿饭AI 提供 ChatGPT Plus、Claude 等主流 AI 会员服务，支持支付宝直接付款，价格实在，开通简单。",7,"https://alltool.top/image/detail/chatgpt_logo.png","/blog/5a43","ChatGPT Plus低价代充｜支持支付宝",{"coverImage":13,"description":14,"id":15,"image":16,"link":17,"title":18},null,"2核2G内存40G SSD云服务器，3M带宽，1个外网IPv4地址，超高性价比！",1,"https://img.alicdn.com/tfs/TB1_ZXuNcfpK1RjSZFOXXa6nFXa-32-32.ico","https://www.cnblogs.com/haws/p/18582641/aliyun79","阿里云99元/年服务器专享购买链接",{"coverImage":13,"description":20,"id":21,"image":22,"link":23,"title":24},"免费下载电子书阅读器，支持Windows、安卓、IOS、MacOS等系统",5,"https://alltool.top/image/detail/ebook.png","https://pan.xunlei.com/s/VOLZuDZRhtvQUgIxeq96Mu9pA1?pwd=abn7","EPUB、PDF电子书阅读器下载",{"coverImage":13,"description":26,"id":27,"image":28,"link":29,"title":30},"最强PDF工具，支持编辑、签名、加密、OCR识别等25种功能。",3,"https://alltool.top/image/detail/adobe_acrobat.png","https://www.cnblogs.com/haws/p/18686608/adobeAcrobat","Adobe Acrobat Pro 2025绿色版","{\"bookQa\":[{\"question\":\"不知道提取码？\",\"answer\":\"点击下载会自动复制“提取码”，弹窗里也会显示“提取码”\"},{\"question\":\"如何下载？\",\"answer\":\"先将文件夹转存到自己的网盘（一定要转存整个文件夹，否则文件更新不会提醒），然后在网盘下载文件\"},{\"question\":\"不知道下载哪种格式？\",\"answer\":\"移动端阅读推荐EPUB格式；电脑端如果阅读技术书籍，推荐PDF，阅读文学作品推荐EPUB格式。\"},{\"question\":\"个别PDF文档预览一直提示“文档打开失败”\",\"answer\":\"网盘自身问题，下载后可正常阅读。也可先转存到自己的网盘，再用客户端预览。\"},{\"question\":\"每天的下载次数是多少？\",\"answer\":\"每人每天可以下载5本不同的书籍，已经下载过的不占用下载次数。⚠️通过技术手段恶意频繁下载会被封禁！\"}]}","{\"enableResourceRequest\":true,\"enableAds\":true,\"enableAdsVpn\":false,\"enableAdsVps\":false,\"indexTopCount\":15,\"indexTopLatestCount\":15,\"indexStickCount\":10,\"indexLatestCount\":20}",{"author":34,"bookTags":13,"bookVersion":13,"categoryIds":35,"categoryNames":38,"code":41,"coverImageUrl":42,"createTime":43,"description":44,"doubanUrl":45,"files":46,"indexId":13,"isbn":54,"isbn10":13,"language":55,"name":56,"publishDate":57,"publisher":58,"pv":59,"recommendation":13,"score":60,"seoDescription":61,"seoKeywords":62,"seoTitle":63,"series":64,"tags":65,"title":71,"toc":13,"translator":13,"updateTime":72,"updateTimeDesc":73},"[美] Wes McKinney",[36,37],140,166,[39,40],"计算机","组织与数据处理","u8rvi","/image/cover/u8rvi.jpg","2025-05-11 12:50:18","\u003Cp>《利用Python进行数据分析》第1版出版于2012年，彼时基于 Python 的开源数据分析库（例如 pandas）仍然是一个发展迅速的新事物，本书也成为该领域排名No1的经典畅销书，前两版中文版累计销售近30万册。\u003C/p>\u003Cp>第3版针对 Python3.10 和 pandas1.4 进行了更新，并通过实操讲解和实际案例向读者展示了如何高效地解决一系列数据分析问题。读者将在阅读过程中学习新版本的 pandas、NumPy、IPython 和 Jupyter。\u003C/p>\u003Cp>《利用Python进行数据分析（原书第3版）》作者 Wes McKinney 是 Python pandas 项目的创始人。本书对 Python 数据科学工具的介绍既贴近实战又内容新颖，非常适合刚开始学习 Python 的数据分析师或刚开始学习数据科学和科学计算的 Python 程序员阅读。读者可以从 GitHub 获取数据文件和相关资料。\u003C/p>","https://book.douban.com/subject/36632126/",[47],{"code":48,"fileFormat":49,"fileSize":50,"needPassword":51,"netDiskType":52,"pages":53,"remark":13},"745771b6272f456ebc20e649681ab0b7","PDF+EPUB","341.51 MB",true,"Quark",502,"9787111726722","中文","利用Python进行数据分析（原书第3版）","2023-01-01","机械工业出版社",36,8.2,"《利用Python进行数据分析（原书第3版）》PDF免费下载，下载地址：https://pan.quark.cn/s/31a451e7bcd8。作者：[美] Wes McKinney，ISBN：9787111726722，由机械工业出版社于2023年01月出版。","利用Python进行数据分析（原书第3版）,[美] Wes McKinney,机械工业出版社,2023-10","《利用Python进行数据分析（原书第3版）》 - PDF下载","",[66],{"code":13,"color":67,"name":68,"sort":69,"tip":70},"secondary","转换版PDF",2,"EPUB格式转换的PDF，文字可复制，但与纸质版排版不一致","《利用Python进行数据分析（原书第3版）》PDF下载","2026-08-04 12:22:25","1个月前",[75],{"author":76,"categories":77,"code":79,"coverImageUrl":80,"description":13,"name":81,"publishDate":82,"pv":83,"score":84},"[意] 内利",[39,78],"数据科学与大数据","n4v8k","/image/cover/n4v8k.jpg","Python数据分析实战","2016-01-01 00:00:00",27,8,[]]