


PyCharm's multi-line comment quick operation: an essential tool to improve development efficiency
PyCharm multi-line comment shortcut keys: a time-saving and efficient development tool
In the daily Python development process, we often need to add comments to explain the functions and functions of the code intention. For longer code blocks or multi-line comments, manually adding comments can be a time-consuming and tedious task. However, PyCharm, as a powerful integrated development environment, provides some shortcut keys in this regard, which can make the process of adding multi-line comments very simple and efficient. This article will introduce the multi-line comment shortcut keys in PyCharm and provide some specific code examples.
- Comment single line shortcut key
In PyCharm, we can use the Ctrl /
shortcut key to comment a single line of code. For example, in the code below, we want to comment out the second line:
x = 10 # y = 20 z = x + y
We just need to put the cursor anywhere on the second line and press Ctrl /
, PyCharm The comment symbol # will be automatically added, so that the second line of code is commented:
x = 10 # y = 20 z = x + y
- Comment multi-line shortcut key
For For multi-line comments, PyCharm provides more convenient shortcut keys to comment multiple lines of code at once. We can use the Ctrl Shift /
shortcut key to achieve this. For example, in the following code, we want to comment out the second to fourth lines:
x = 10 y = 20 z = x + y result = x * z
We only need to select the second to fourth lines of code, and then press Ctrl Shift /
, PyCharm will automatically add the comment symbol #, so that the selected code is commented:
x = 10 # y = 20 # z = x + y # result = x * z
- Shortcut key to uncomment multiple lines
When we want to cancel multi-line comments, PyCharm also provides shortcut keys. We can use the Ctrl Shift
shortcut key to achieve this. For example, in the following commented code, we want to uncomment:
x = 10 # y = 20 # z = x + y # result = x * z
We only need to select the code in the commented part, and then press Ctrl Shift
, and PyCharm will automatically Cancel comments:
x = 10 y = 20 z = x + y result = x * z
Through the above simple shortcut key operations, we can quickly add and cancel multi-line comments, which greatly improves development efficiency.
Summary:
PyCharm's multi-line comment shortcut key is a very practical function in our daily development, which can help us quickly add and cancel multi-line comments. The existence of this function makes it easier and faster for us to interpret and share code. It is recommended that everyone be familiar with and make reasonable use of these shortcut keys to improve development efficiency.
I hope the content of this article will be helpful to you!
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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