datagrip
pycharm
Open a project with PyCharm . The PyCharm Developer Advocate.The most effective method to install Pygame . One of Python 's highly attractive functions.
You don't have to abide by all of the PyCharm rules. 如果你是web开发工程师,那就选择pycharm 。 If you are a software engineer, choose Python . A really powerful feature of PyCharm is the code refactoring option. On successful installation of PyCharm , the following output will be displayed:. PyCharm 的两个版本是最受欢迎Python开发工具。PyCharm with its two editions is the most popular tool for Python development.使用“View”菜单中带有复选框的菜单项来显示或隐藏PyCharm 窗口的主要元素。 Use menu items with a checkbox in the View menu to show or hide the main elements of the DataGrip window. PyCharm 及其两个版本是最受欢迎的Python开发工具。PyCharm with its two editions is the most popular tool for Python development.如果你写的代码可能出错或者写的不太好,PyCharm 会标记上一个彩色标记。 If you type something which is likely to cause an error or just isn't well written then PyCharm will place a colored marker. PyCharm 菜单和工具栏包含影响整个项目或项目大部分的命令。DataGrip menus and toolbars contain commands that affect the entire project or large sections of the project. 一旦完成安装,PyCharm 就可以方便地用于编辑、运行、编写和调试Python代码。 Once you finish the installation, PyCharm can be readily used for editing, running, writing, and debugging the Python code. 在PyCharm 中打开任务时,IDE会冻结很长时间的问题先已解决。 Sometimes when opening a task in PyCharm , the IDE would freeze for a long time, this has been resolved now. 你需要Python3.6或更高版本,以及选择的开发环境(命令行、PyCharm 、Jupyter等). You will need Python 3.6 or above, and a development environment of your choice(command line, PyCharm , Jupyter, etc.). 在PyCharm forLinux中,您可以使用Macintosh风格的菜单-一个连接到屏幕顶部的水平菜单栏。 In DataGrip for Linux, you can use the Macintosh-style menu- a horizontal menu bar attached to the top of the screen. 当你第一次运行PyCharm 或者关闭一个项目的时候,会出现一个屏幕,上面显示一系列近期项目。 When you first run PyCharm or when you close a project you will be presented with a screen showing a list of recent projects. PyCharm 的开放源码版本,PyCharm CommunityEdition,2013年10月22日可用。[3].PyCharm Community Edition, the open source version of PyCharm , became available on 22 October 2013.[3].您现在可以从PyCharm 更新贡献的GitHub项目的分支,然后做一些工作,并创建一个拉取请求。 You can now update your fork of GitHub projects you contribute to right from PyCharm , then do some work, and create a pull request. PyCharm 是由JetBrain的人员制作的IDE,该团队负责最着名的JavaIDE,IntelliJIDEA之一。PyCharm is an IDE made by the folks at JetBrain, a team responsible for one of the most famous Java IDE, the IntelliJ IDEA. 当您第一次运行PyCharm 或没有打开任何项目时,PyCharm 将显示欢迎屏幕,允许快速访问主要入口点。 When you first run PyCharm , or have no open project, PyCharm displays the Welcome screen, which enables quick access to the major entry points. PyCharm 是最受欢迎的Python开发工具,PyCharm 专业版和社区版的合计份额为35%。PyCharm is the most popular tool for Python development with a 35% combined share for PyCharm Professional and Community editions.在这篇指南中,我将向你介绍一个集成开发环境-PyCharm ,你可以在它上面使用Python编程语言开发专业应用。 This guide will introduce you to the PyCharm integrated development environment, which can be used to develop professional applications using the Python programming language. 继Vim之后,PyCharm 是我最喜欢的的PythonIDE之一,因为它有优雅的用户界面,有很多扩展和插件支持。 PyCharm is one of my favorite Python IDEs after Vim because it has slick user interface with lot of extensions and plug-in support. PyCharm 提供了从各种在线资源查看项目源码的选项,在线资源包括GitHub、CVS、Git、Mercurial以及Subversion。PyCharm provides the option to check out project code from various online resources including GitHub, CVS, Git, Mercurial, and Subversion. 最后,PyCharm 的两个版本是Python开发中最流行的工具,其次是Sublime,Vim,IDLE,Atom和VSCode。 Furthermore, PyCharm with its two editions is the most popular tool for Python development, followed by Sublime, Vim, IDLE, Atom, and VS Code. PyCharm 是最受欢迎的Python开发工具,PyCharm Professional和Community版本的合计份额为35%。PyCharm is the most popular tool for Python development with a 35% combined share for PyCharm Professional and Community editions.PyCharm 与IPythonNotebook集成,具有交互式Python控制台,并支持Anaconda以及多个科学软件包,包括matplotlib和NumPy。PyCharm integrates with Jupyter Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy.
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