Steps to write code in PyCharm: Create a new project: Create the project, select the Python interpreter and create a virtual environment. Create a new file: Right-click the project name and select New Python File. Write code: Enter Python code in a file. Run code: Press Cmd R (Mac) or Ctrl R (Windows/Linux) to run the code. Tip: Use code completion to automatically complete names. Use the debugger to step through your code. Use the interactive console to quickly evaluate your code.
Start writing code in PyCharm
Step 1: Create a new project
- In the PyCharm main window, click "File" > "New Project".
- In the "Project Location" field, select the directory where you want to save the project.
- Select a Python interpreter. If you don't have Python installed yet, click "Create virtualenv" to create a virtual environment.
- Click "Create".
Step 2: Create a new file
- In the project navigator, right-click the project name and select "New" > " Python File".
- Specify a name for the file, such as "hello_world.py".
- Click "Create".
Step 3: Write the code
- In the newly created file, enter the following code:
print("你好,世界!")
Step 4: Run the Code
- To run the code, press
Cmd
R
(Mac) orCtrl
R
(Windows/Linux). - PyCharm will print "Hello, world!" to the console.
Tips:
-
Use code completion: PyCharm provides code completion to help you automatically complete functions and classes and the name of the variable. Activate code completion by pressing
Cmd
Space
(Mac) orCtrl
Space
(Windows/Linux). -
Using the Debugger: PyCharm integrates a powerful debugger that allows you to step through your code and view the values of variables. Set breakpoints in your code to pause execution, then press
F7
orCmd
D
(Mac) to step through the code. -
Use the interactive console: You can use the interactive console in PyCharm to quickly evaluate code snippets or execute commands. Press
Cmd
Alt
C
(Mac) orCtrl
Alt
C
(Windows/Linux) Open an interactive console.
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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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