{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":216,"pdf_page":232,"physical_index":232,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"249224661f1f0af0c99958d9c14394edcd07889792f124445764b1c77abda167"},"chapter":"第8章","content":"人工智能与大数据技术导论\n\nPandas有强大的绘图功能。比如，我们可以使用hist()方法绘制直方图，用于分析某列的值的分布。\n\n8.1.3 必要的 Python 知识\n\n你有两种方法进行TensorFlow编码。一种是使用谷歌公司的在线环境(Colaboratory平台)。针对在线环境，我们只需要编写代码和执行即可，本章中的代码和结果都来自谷歌公司的在线开发环境。另一种是安装TensorFlow的本地开发环境。无论是哪种环境，对于TensorFlow编码，你都需要掌握一些Python知识。本节阐述怎么安装Python和TensorFlow本地开发环境，然后对Python语法做一些简述，以方便读者阅读本书的代码。\n\n1. 本地安装\n\n在百度上搜索“Anaconda 官网下载”，打开下载地址 https://www.anaconda.com/download/，如图8-3所示。\n\n216","previous_page":215,"next_page":217}