Examples of using To use python in English and their translations into Chinese
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How to use python?
More and more websites are starting to use python.
总之，越来越多人开始使用python。Another option is to use Python for both the front end and back end.
另一种选择是在前端和后端都使用python。Let where we can use Node JS and when to use python.
让我们在哪里可以使用Node.js以及何时使用Python。The best bet to use Python programming language is for data analysis and statistical computations.
利用Python编程语言的最好选择，就是做数据分析和统计计算。
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You can download it and decide to use Python 2.7 or 3.6.
您可以将其下载下来，然后决定是使用Python2.7还是3.6。On OurGroceries, my personal project,we needed something similar and I suggested again to use Python.
在我的一个私人项目中，也需要类似的东西，我再次建议使用Python。If you're seeking to use Python in a specific field, one of these guides may be the most appropriate for you.
如果你想在某一特定领域使用Python，那么下面的这些教程可能最适合你。I answered with /usr/local/bin/python3 because I want to use Python 3.6 with TensorFlow.
我的回答是/usr/local/bin/python3，因为我希望使用Python3.6配合TensorFlow。Further explore how to use Python to create scripts for managing virtual machines using KVM.
进一步探索如何使用Python创建脚本，以使用KVM管理虚拟机。This path provides acomprehensive overview of steps you need to learn to use Python for data analysis.
这个路径提供了你需要学习使用Python语言进行数据分析步骤的全面概述。At this point, we have started to learn how to use Python to download online sources and extract information from them automatically.
There's a Udacity course byone of the creators of Reddit that shows how to use Python to build a blog.
在优达学城上（Udacity）有一堂由Reddit的一位创始人讲授的课程，讲述了如何使用Python创建一个blog系统。Not only does this mean you don't pay anything to use Python, but you are also free to contribute back to the Python community.
这不仅意味着您不需要支付任何使用Python的费用，而且还可以自由地返回到Python社区。PythonforSocialScientists上包含了一套大学课程的教科书、课程大纲和幻灯片，该课程教授社会科学工作者如何在职业生涯中使用Python。ILM chose Python 1.4 over Perl and Tcl, opting to use Python because it was a much faster to integrate into their existing infrastructure.
ILM选择Python1.4而非Perl和Tcl，是因为使用Python能够快速的构建基础构架。There is also an NLTK-Users mailing list,where users help each other as they learn how to use Python and NLTK for language analysis work.
还有一个NLTK用户邮件列表，用户在学习如何使用Python和NLTK做语言分析工作时使用它来相互帮助。This book shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
同时还会告诉你如何在商业、科学和艺术领域使用Python，并教会你使用多种Python工具和开源包。In the first article in this series, I explained how to use Python to create a simple, text-based dice game.
在我的这系列的第一篇文章中，我已经讲解如何使用Python创建一个简单的、基于文本的骰子游戏。It also means that SymPy tries to use Python idioms whenever possible, making programming with SymPy easy for those already familiar with programming with Python. .
这也意味着SymPy试图尽可能得遵循Python语言典范，让熟悉使用Python语言编程的用户可以容易得使用SymPy库编程。Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, with the advantage that it is free.
Matplotlib被设计为与MATLAB类似，可以使用Python，最大优势是免费。In this instructor-led, live training,participants will learn to use Python to create a simple application that auto-generates a summary of input text.
在这一由讲师引导的现场培训中，学员将学习使用Python创建一个简单的可自动生成输入文本摘要的应用程序。Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, and the advantage of being free and open-source.
Matplotlib被设计为与MATLAB类似，可以使用Python，最大优势是免费。This includes data science and Machine Learning,but it also features guidance on how to use Python in web and application development projects.
书中内容包括了数据科学和机器学习，但同时还将指导你如何在网络和应用程序开发项目中使用Python。You are not limited to using Python.
我们当然不限制您一定要使用Python。One advantage to using Python for automated testing is that regression tests can be developed that constantly test and exercise the system.
使用Python开发自动化测试的好处是，回归测试可以开发持续测试并训练系统。Now that we have clearly defined the stack as an abstractdata type we will turn our attention to using Python to implement the stack.
现在我们已经将堆栈清楚地定义为抽象数据类型，我们将把注意力转向使用Python来实现堆栈。Developers accustomed to using Python face difficulty in adjusting to completely different syntax when they try using other languages for AI programming.
习惯使用Python的开发人员在尝试使用其他语言进行AI编程时，难以适应完全不同的语法。
