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<h1><a href="/pytorch_books.html" rel="bookmark"
title="Permalink to 机器学习工具pytorch中文英文工具书籍下载-持续更新">机器学习工具pytorch中文英文工具书籍下载-持续更新</a></h1>
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<abbr class="published" title="2018-11-09T07:20:00+08:00">
Published: 五 09 十一月 2018
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By <a class="url fn" href="/author/andrew.html">andrew</a>
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<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></p>
<h3 id="_1">书籍</h3>
<p><a href="https://itbooks.pipipan.com/fs/18113597-319170078">深度学习之PyTorch实战计算机视觉 - 2018.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-52d33d1da0c933d2.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>计算机视觉、自然语言处理和语音识别是目前深度学习领域很热门的三大应用方向，本书旨在帮助零基础或基础较为薄弱的读者入门深度学习，达到能够独立使用深度学习知识处理计算机视觉问题的水平。通过阅读本书，读者将学到人工智能的基础概念及Python编程技能，掌握PyTorch的使用方法，学到深度学习相关的理论知识，比如卷积神经网络、循环神经网络、自动编码器，等等。在掌握深度学习理论和编程技能之后，读者还会学到如何基于PyTorch深度学习框架实战计算机视觉。本书中的大量实例可让读者在循序渐进地学习的同时，不断地获得成就感。本书面向对深度学习技术感兴趣、但是相关基础知识较为薄弱或者零基础的读者。</p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-319170048">深度学习之Pytorch - 2017.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-3c4ad24d7c332bb7.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>深度学习如今已经成为了科技领域最炙手可热的技术，在本书中，我们将帮助你入门深度学习的领域。本书将从人工智能的介绍入手，了解机器学习和深度学习的基础理论，并学习如何用PyTorch框架对模型进行搭建。通过阅读本书，你将会学习到机器学习中的线性回归和logistic回归，深度学习的优化方法，多层全连接神经网络，卷积神经网络，循环神经网络以及生成对抗网络，同时从零开始对PyTorch进行学习，了解PyTorch基础及如何用其进行模型的搭建，最后通过实战了解最前沿的研究成果和PyTorch在实际项目中的应用。</p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-319169961">PyTorch深度学习实战 - 2017.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-319169959">Deep Learning with PyTorch - 2018.pdf …</a></p>
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<h1><a href="/scrap_books.html" rel="bookmark"
title="Permalink to 2018最佳人工智能数据采集(爬虫)工具书下载">2018最佳人工智能数据采集(爬虫)工具书下载</a></h1>
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<abbr class="published" title="2018-11-06T15:20:00+08:00">
Published: 二 06 十一月 2018
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<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></p>
<h3 id="python">Python网络数据采集</h3>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-d3398ebcc7e42078.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-499d9333136b5326.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-308347774">Python网络数据采集 - 2016.pdf</a></p>
<p>本书采用简洁强大的Python语言，介绍了网络数据采集，并为采集新式网络中的各种数据类型提供了全面的指导。第 1部分重点介绍网络数据采集的基本原理：如何用Python从网络服务器请求信息，如何对服务器的响应进行基本处理，以及如何以自动化手段与网站进行交互。第 二部分介绍如何用网络爬虫测试网站，自动化处理，以及如何通过更多的方式接入网络。</p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-308347783">Web Scraping with Python 2nd - 2018.pdf</a></p>
<p>https://github.com/REMitchell/python-scraping 2000左右星</p>
<p>qq群144081101 567351477</p>
<h3 id="pythonscrapy-2018pdf"><a href="https://itbooks.pipipan.com/fs/18113597-318846850">精通Python爬虫框架Scrapy - 2018.pdf</a></h3>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-515b128ced181dd4.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>Scrapy是使用Python开发的一个快速、高层次的屏幕抓取和Web抓取框架，用于抓Web站点并从页面中提取结构化的数据。《精通Python爬虫框架Scrapy》以Scrapy 1.0版本为基础，讲解了Scrapy的基础知识，以及如何使用Python和三方API提取、整理数据，以满足自己的需求。</p>
<p>本书共11章，其内容涵盖了Scrapy基础知识，理解HTML和XPath，安装Scrapy并爬取一个网站 …</p>
<a class="readmore" href="/scrap_books.html">read more</a>
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<h1><a href="/ai_books.html" rel="bookmark"
title="Permalink to 2018最佳人工智能机器学习工具书籍及下载(持续更新)">2018最佳人工智能机器学习工具书籍及下载(持续更新)</a></h1>
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<div class="entry-content">
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<abbr class="published" title="2018-11-05T15:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-9374571edcc1b10b.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://solutionsreview.com/">Solutions Review</a>审查了许多机器学习书籍，根据相关性，流行度，评分，发布日期以及增加业务价值的能力，精心挑选了顶级机器学习书籍。 列出的每本书至少有15个亚马逊用户评论，评分为4.0或更高。</p>
<p>您将在下面找到该领域公认的领导者，专家和技术专业人员的图书库。 从数据科学到神经网络，这些出版物甚至可以提供最终端的数据和分析专业人员。</p>
<p>个人建议优先考虑github星级1000以上的书。</p>
<h3 id="python-deep-learning-with-python-francois-chollet-2018pdf-">Python深度学习 <a href="https://u18113597.pipipan.com/fs/18113597-308038660">Deep Learning with Python François Chollet - 2018.pdf</a> -- 强烈推荐</h3>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-3c4199133358b17e.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-318700056">Python深度学习 - 2018.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-fdf989121b332378.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<ul>
<li><a href="https://github.com/fchollet/deep-learning-with-python-notebooks">源码</a> github星级 5000左右</li>
<li>页数：386</li>
</ul>
<p>Deep Learning with Python使用Python语言和强大的Keras库引入深度学习。 本书由Keras作者，Google AI研究员FrançoisChollet撰写，通过直观的解释和实际例子帮助您的理解，涉及计算机视觉，自然语言处理和生成模型。</p>
<p>中文版(文字版)可以在qq群144081101等找到。</p>
<h3 id="scikit-learntensorflow-hands-on-machine-learning-with-scikit-learn-and-tensorflow-2017pdf">机器学习实战:基于Scikit-Learn和TensorFlow …</h3>
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<h1><a href="/selnium_books.html" rel="bookmark"
title="Permalink to 2018最佳selenium工具书籍汇总下载(持续更新)">2018最佳selenium工具书籍汇总下载(持续更新)</a></h1>
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<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T13:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h3 id="_1">简介</h3>
<p>本文是https://github.com/china-testing/python-api-tesing/blob/master/books.md的节选。</p>
<p>欢迎转载，转载请附带此简介，谢谢！</p>
<h3 id="practical-web-scraping-for-data-science-best-practices-and-examples-with-python-2018pdf"><a href="https://itbooks.pipipan.com/fs/18113597-308349318">Practical Web Scraping for Data Science -Best Practices and Examples with Python - 2018.pdf</a></h3>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-56aa85e2dcab446c.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>https://github.com/Apress/practical-web-scraping-for-data-science 星级 低于100</p>
<p>本书提供了完整的现代Web抓取指南，使用Python作为编程语言。 作者建议网络抓取作为任何数据科学家的强大工具，因为许多数据科学项目都是从获得适当的数据集开始的。</p>
<p>作者探讨了HTTP，HTML和CSS的核心概念，以提供坚实的基础。 除了快速的Python入门，它们还包括Selenium用于JavaScript重型站点和网络爬行的详细信息。 本书最后概述了最佳实践和一系列示例，这些示例汇集了您学到的所有内容，并说明了各种数据科学用例。</p>
<p>-- 本书的selenium教程写得简明扼要，后面还配有丰富的实例。</p>
<h3 id="selenium-python-2018pdf"><a href="https://itbooks.pipipan.com/fs/18113597-315206043">Selenium自动化测试 基于 …</a></h3>
<a class="readmore" href="/selnium_books.html">read more</a>
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<h1><a href="/testing_books.html" rel="bookmark"
title="Permalink to 软件测试工具书籍与面试题汇总下载(持续更新)">软件测试工具书籍与面试题汇总下载(持续更新)</a></h1>
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<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T13:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h3 id="_1">简介</h3>
<p>本文是https://github.com/china-testing/python-api-tesing/blob/master/books.md的节选。</p>
<p>欢迎转载，转载请附带此简介，谢谢！</p>
<h3 id="_2">试题</h3>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316083198">软件测试综合面试题(高级测试)-试题.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316083196">软件测试综合面试题(python测试开发).pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316083195">自动化_性能_web测试 - 试卷.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316083192">自动化试卷.pdf</a></p>
<h3 id="_3">软件测试</h3>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316074102">优质代码：软件测试的原则、实践与模式 - 2015.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316074076">应用程序性能测试的艺术 - 2012.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-8dd7f5869661b45b.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316074007">移动App测试实战：顶级互联网企业软件测试和质量提升最佳实践 - 2015.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316073745">腾讯Android自动化测试实战 - 2016.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316073529">软件性能测试过程详解与案例剖析（第二版）- 2012.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316072834">软件测试价值提升之路 - 2016.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316072683">Praxiswissen …</a></p>
<a class="readmore" href="/testing_books.html">read more</a>
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<h1><a href="/vr_books.html" rel="bookmark"
title="Permalink to 虚拟现实与增强现实VR&AR工具书籍汇总下载(持续更新)">虚拟现实与增强现实VR&AR工具书籍汇总下载(持续更新)</a></h1>
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<abbr class="published" title="2018-11-05T13:20:00+08:00">
Published: 一 05 十一月 2018
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By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></p>
<h3 id="_1">简介</h3>
<p>本文是https://github.com/china-testing/python-api-tesing/blob/master/books.md的节选。</p>
<p>欢迎转载，转载请附带此简介，谢谢！</p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295260">GFK：虚拟现实零售市场简述 - 2017.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295256">VR虚拟现实与AR增强现实的技术原理与商业应用 - 2017.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-8e90c91134069d49.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295253">虚拟现实技术与应用 - 2004.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295248">虚拟现实技术及编程技巧 - 1999.pdf</a></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295244">虚拟现实：万象的新开端 - 2018.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-59b0e56ea450668e.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295242">人工智能和虚拟现实的科幻鼻祖“神经漫游者”三部曲（套装全3册） - 2013.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-d80b1cfea5867993.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<h3 id="_2">参考资料</h3>
<ul>
<li>讨论 qq群144081101 567351477</li>
<li><a href="https://china-testing.github.io/vr_books.html">本文最新版本地址</a></li>
<li><a href="https://github.com/china-testing/python-api-tesing">本文涉及的python测试开发库</a> 谢谢点赞！</li>
<li><a href="https://github.com/china-testing/python-api-tesing/blob/master/books.md">本文相关海量书籍下载</a> </li>
</ul>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295241">沉浸感：不可错过的虚拟现实革命 - 2017.pdf</a></p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-330c3b4942997d2a.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p><a href="https://itbooks.pipipan.com/fs/18113597-316295239">Yeti …</a></p>
<a class="readmore" href="/vr_books.html">read more</a>
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</article></li>
<li><article class="hentry">
<header>
<h1><a href="/python3_quick8.html" rel="bookmark"
title="Permalink to python 3.7极速入门教程8语言比较与面试考试试题">python 3.7极速入门教程8语言比较与面试考试试题</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T11:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h1 id="_1">语言比较与面试考试试题</h1>
<h2 id="python">python和其他语言比较</h2>
<ul>
<li>Java</li>
</ul>
<p>通常Python运行速度比Java程序慢点，但开发时间短很多。Python高级数据类型及其动态类型是比Java程序慢的主要原因，但是python很多库比如numpy之类的是c或c++实现，实际执行效率有时比java还快。但是Java在android应用广泛，python则没有。现在第一语言的排名主要是Python和java的斗争。凭借易学和丰富的库，非IT专业业人士大量基于python学习人工智能和其他的数据分析等，Python有逐渐拉开与java距离的趋势。</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-7986da71b6930fa3.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<ul>
<li>Perl</li>
</ul>
<p>虽然这两种语言在很多方面都被认为是相似的，但Perl支持常见的面向应用程序的任务，如报告生成，文件扫描等。而Python支持常见的编程方法，如数据结构设计和OOP编程，代码可读性更好，第三方库更丰富，与其他语言交互更方便，Perl是直接被Python超越并逐渐没落的。</p>
<ul>
<li>TCL</li>
</ul>
<p>Tcl数据结构很弱，执行代码的速度更慢，主要在一些通信仪表中使用，是一个极其次要的语言。</p>
<ul>
<li>PHP</li>
</ul>
<p>Python可读性更好。</p>
<p>在Python中，类在标准库中广泛使用，而PHP具有完全基于类的SPL。</p>
<p>Python支持结构化异常处理，而大多数PHP函数不使用异常来报告错误</p>
<p>Python中的开发功能由库提供，而在PHP中则是内置的</p>
<p>Python支持主要的GUI框架</p>
<p>PHP曾经是web后台开发的霸主语言，在其他地方基本上无用武之地，近年来PHP在web后台开发方面不敌Python，Java等语言，日渐衰落。</p>
<ul>
<li>Ruby</li>
</ul>
<p>与Ruby相比，Python具有丰富的数据结构，内部函数 …</p>
<a class="readmore" href="/python3_quick8.html">read more</a>
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<header>
<h1><a href="/python3_quick9.html" rel="bookmark"
title="Permalink to python 3.7极速入门教程9最佳python中文工具书籍下载">python 3.7极速入门教程9最佳python中文工具书籍下载</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T11:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <p>筛选了2年内优秀的python书籍，个别经典的书籍扩展到5年内。</p>
<p>python现在的主流版本是3.7(有明显性能提升，强烈推荐) 3.6, 不基于这两个或者更新版本的书，慎重选择。很多库已经不提供python2支持，请尽快从python迁移到python3.7。</p>
<p>尽量只收集通用的书籍，专用的书籍只收集特别优秀者。国产的书很多虽然出名，但是实际写得并不好，为此这里收集得并不多。有英文能力的，尽量阅读英文原版。</p>
<p>入门推荐在线书籍： <a href="https://china-testing.github.io/python3_quick.html">python 3.7极速入门教程</a></p>
<ul>
<li><a href="https://china-testing.github.io/practices.html">python测试开发项目实战-目录</a></li>
<li><a href="https://china-testing.github.io/python_books.html">python工具书籍下载-持续更新</a></li>
</ul>
<h3 id="python">python专业书籍汇总</h3>
<ul>
<li><a href="https://china-testing.github.io/opencv_books.html">2018最佳人工智能图像处理工具OpenCV书籍下载</a></li>
<li><a href="https://china-testing.github.io/selnium_books.html">2018最佳selenium工具书籍汇总下载(持续更新)</a></li>
<li><a href="https://china-testing.github.io/ai_books.html">2018最佳人工智能机器学习工具书籍及下载(持续更新)</a></li>
<li><a href="https://china-testing.github.io/pytorch_books.html">机器学习工具pytorch中文英文工具书籍下载-持续更新</a></li>
<li><a href="https://china-testing.github.io/flask_books.html">web开发工具flask中文英文书籍下载-持续更新</a></li>
<li><a href="https://china-testing.github.io/testing_books.html">软件测试工具书籍与面试题汇总下载(持续更新)</a></li>
</ul>
<h3 id="python-2016pdf"><a href="https://itbooks.pipipan.com/fs/18113597-318563515">Python编程：从入门到实践 - 2016.pdf</a> 初级</h3>
<p>亚马逊 4.5星 345评论 https://github.com/ehmatthes/pcc …</p>
<a class="readmore" href="/python3_quick9.html">read more</a>
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<header>
<h1><a href="/python3_quick2.html" rel="bookmark"
title="Permalink to python 3.7极速入门教程2 Hello与变量">python 3.7极速入门教程2 Hello与变量</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T10:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h1 id="hello">Hello</h1>
<h2 id="_1">命令行方式</h2>
<div class="highlight"><pre><span></span><span class="err">$</span> <span class="n">python</span>
<span class="n">Python</span> <span class="mf">3.7</span><span class="o">.</span><span class="mi">0</span> <span class="p">(</span><span class="n">default</span><span class="p">,</span> <span class="n">Jun</span> <span class="mi">28</span> <span class="mi">2018</span><span class="p">,</span> <span class="mi">13</span><span class="p">:</span><span class="mi">15</span><span class="p">:</span><span class="mi">42</span><span class="p">)</span>
<span class="p">[</span><span class="n">GCC</span> <span class="mf">7.2</span><span class="o">.</span><span class="mi">0</span><span class="p">]</span> <span class="p">::</span> <span class="n">Anaconda</span><span class="p">,</span> <span class="n">Inc</span><span class="o">.</span> <span class="n">on</span> <span class="n">linux</span>
<span class="n">Type</span> <span class="s2">"help"</span><span class="p">,</span> <span class="s2">"copyright"</span><span class="p">,</span> <span class="s2">"credits"</span> <span class="ow">or</span> <span class="s2">"license"</span> <span class="k">for</span> <span class="n">more</span> <span class="n">information</span><span class="o">.</span>
<span class="o">>>></span> <span class="k">print</span><span class="p">(</span><span class="s2">"Hello, https://china-testing.github.io/"</span><span class="p">)</span>
<span class="n">Hello</span><span class="p">,</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">china</span><span class="o">-</span><span class="n">testing</span><span class="o">.</span><span class="n">github</span><span class="o">.</span><span class="n">io</span><span class="o">/</span>
</pre></div>
<h2 id="ipython">ipython方式</h2>
<div class="highlight"><pre><span></span><span class="err">$</span> <span class="n">ipython</span>
<span class="n">Python</span> <span class="mf">3.7</span><span class="o">.</span><span class="mi">0</span> <span class="p">(</span><span class="n">default …</span></pre></div>
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<h1><a href="/python3_quick1.html" rel="bookmark"
title="Permalink to python 3.7极速入门教程1安装：Linux(Ubuntu 18.04)及Windows上安装Anaconda">python 3.7极速入门教程1安装：Linux(Ubuntu 18.04)及Windows上安装Anaconda</a></h1>
</header>
<div class="entry-content">
<footer class="post-info">
<abbr class="published" title="2018-11-05T09:20:00+08:00">
Published: 一 05 十一月 2018
</abbr>
<address class="vcard author">
By <a class="url fn" href="/author/andrew.html">andrew</a>
</address>
<p>In <a href="/category/python.html">python</a>.</p>
</footer><!-- /.post-info --> <h1 id="_1">安装</h1>
<h2 id="linux">Linux安装</h2>
<p>Anaconda是最受欢迎的python数据科学和机器学习平台，用于大规模数据处理，预测分析和科学计算。Anaconda发行版附带了1,000多个数据包，conda命令行工具和Anaconda Navigator的桌面图形用户界面。一般而言，使用Anaconda比直接使用官方的python更好用。</p>
<p>本教程将指导您完成在Ubuntu 18.04上下载和安装Anaconda Python Distribution。通常也适合多数其他Linux。</p>
<h3 id="anaconda">下载Anaconda</h3>
<p>https://www.anaconda.com/download/#linux</p>
<p>在撰写本文时，Anaconda的最新稳定版本是5.3版本。</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-128824bdee784130.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<p>请选择<a href="https://repo.anaconda.com/archive/Anaconda3-5.3.0-Linux-x86_64.sh">64-Bit (x86) Installer </a>进行下载，尽量不要用python2.7，很多库已经不提供python2.7支持。</p>
<p>点击链接就会进行下载，同时会弹出信息收集框，直接关闭就好。</p>
<p><img alt="图片.png" src="https://upload-images.jianshu.io/upload_images/12713060-dfb07445ebf47c3a.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240"></p>
<h3 id="anaconda_1">安装Anaconda</h3>
<div class="highlight"><pre><span></span>$ sudo sh Anaconda3-5.3.0-Linux-x86_64.sh
<span class="o">[</span>sudo<span class="o">]</span> andrew 的密码：
Welcome …</pre></div>
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