你有哪些想要分享的 PyCharm 使用技巧?
奇技淫巧;能提高效率的;或者其他一切你认为可以分享的都可以哦
:D
回复内容:
JetBrains家的IDE很多技巧是通用的,说一些自己日常用得多但不一定仅限于PyCharm的技巧:`ctrl+alt+L`,格式化代码,曾经用Eclipse的时候,格式化代码一定要先选中某个区域的代码块再进行格式化,用了JetBrains的IDE之后就习惯性地格式化一下,还必须手贱多格式化几次才舒服,不过有后遗症,以后到各种编辑框中总喜欢`ctrl+alt+L`几下才舒服
`alt+enter`万能键,不同场景有不同的表现方式,在还没import(install)模块名上使用会import(install)相对应的模块,在方法名上使用补注释,在测试中使用帮你补充断言代码……不管出错了不知道怎么办,知道怎么办想这么办时都按下这个快捷键,有惊喜
`ctrl+space` 万能提示键,非静态语言不太容易做提示,PyCharm的会根据上下文提供补全。不仅是代码提示,`ctrl+f`搜索的时候,不知道该键入啥时就按下,经常给人惊喜。在windows下由于输入法无法使用这个快捷键,`ctrl+alt+s`打开设置键入 keymap,在Keymap中搜索basic可以找到并修改它
`ctrl+shift+f10`运行当前文件,十分智能,如果是测试代码,则以测试模式run,并列出测试通过情况。
`ctrl+w`扩展选取和`ctrl+shift+w`缩减选区,根据当前层级一层一层向上伸展选中区域,例如value ->key:value -> dict -> ... ,每按一次就扩展一级,`ctrl+shift+w`用来取消上一次的扩展选取操作,注意后遗症,大部分软件中的`ctrl+w`是关闭!是`ctrl+shift+箭头`而不是`ctrl+w`
`ctrl+q`查注释
`ctrl+shift+i`没注释时查源码
`ctrl+p`调用方法时查看参数,在括号内按下,就知道当前位置该给啥参数,不过由于是Python,这里使用`ctrl+space`也可以达到很好的效果
`shift+enter`另起一行,光标在行内任意位置都能另起一行,且不破坏当行结构
`ctrl+alt+enter`向上另起一行
`ctrl+shift+数字键`与`ctrl+数字键`书签功能
`ctrl+shift+a`搜索IDE功能,比如想看看这个文件的历史,就键入history 可以找到 Local history
双击`shift`搜索一切,不管是IDE功能、文件、方法、变量……都能搜索
各个窗口下,无论是Project,Setting,Debugger...都可以直接键入想要搜索的内容,它会帮你高亮
内置的REPL,由于JetBrains的加成可以实现很多与编辑器内相同的效果
内置Git,通过插件可以支持 Git flow,十分优秀的代码对比,merge时解决冲突很有帮助
Local history,文件夹,每个文件都有记录历史版本
Tip of the day,总会给人带来一些有用的小功能 ,别嫌烦就给关了啊
内置source code pro字体+Darcula Theme(暗色主题) ,眼不疼了
固态硬盘,配合JetBrains碉堡的索引,虽然没什么关系
想到了再补充吧 ideavim 最最常用的,f9。
最常用的,ctrl+鼠标看内置函数
其他,我也不熟。。。 为什么 我文本中无法输入 z shift+z 可以输入Z cltr + / 快速注释
cler + d 复制光标所在的行
最有的一个,本机编辑,运行时使用了远程环境,省去了环境切换的麻烦。



之后你就可以win编辑文本,保存后直接传到linux环境下,运行时也是用了linux的环境

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
