The key to using Python to call WebAPI to obtain data is to master the basic processes and common tools. 1. Using requests to initiate HTTP requests is the most direct way. Use the get method to obtain the response and use json() to parse the data; 2. For APIs that need authentication, you can add tokens or keys through headers; 3. You need to check the response status code, it is recommended to use response.raise_for_status() to automatically handle exceptions; 4. Facing the paging interface, you can request different pages in turn and add delays to avoid frequency limitations; 5. When processing the returned JSON data, you need to extract information according to the structure, and complex data can be converted to Data

Updating a JSON file requires three steps: reading, modifying, and writing. 1. Use json.load() to read the file into a Python data structure; 2. Access the modified value through keys such as data['age']=31 or nested modification; 3. Use json.dump(data,f) to save the changes back to the file and it is recommended to add indent to beautify the output. Before operation, you should confirm that the file exists and backups should be made if necessary. Remote data must be processed in conjunction with the requests module.

Magic methods (dunder methods) in Python are special methods used to customize object behavior. They start and end with a double underscore, such as __init__ or __str__, and are automatically triggered when a specific syntax or built-in function is used. 1.__init__ is used to initialize the object; 2.__str__ and __repr__ define the readable string representation and reconstructible expression of the object respectively; 3.__add__, __sub__, etc. define the addition and subtraction operation behaviors; 4. Control and comparison operations such as __eq__, __lt__, etc. Implementing these methods, such as adding __add__ to custom class Point to support operations, makes the class behave more naturally and in line with expectations. make

To beautify the beginning of a paragraph to enhance visual appeal, a common practice is to use pseudo-elements of CSS or manually style the document. In web development, p::first-letter can be used to set the first letter style, such as enlarging, bolding, and discoloring, but it should be noted that it is only suitable for block-level elements; if you want to highlight the entire first line, use p::first-line to add styles; in document software such as Word, you can manually adjust the first letter format or create style templates, and InDesign has a built-in "first-sinking" function suitable for publishing and design; when applying, you need to pay attention to details, such as avoiding complex styles affecting reading and ensuring compatibility and format consistency.

Using Python's multiprocessing module can improve performance, but attention should be paid to startup methods, Pool usage, process communication and exception handling. 1. Choose the appropriate startup method: fork (Unix fast but unstable), spawn (cross-platform recommendation), forkserver (property-suitable for frequent creation); 2. Use Pool to manage concurrent tasks, control the number of processes, and reasonably select map or apply_async; 3. Inter-process communication can be used to provide Queue, Pipe, Value, Array or Manager, pay attention to performance and security; 4. Strengthen exception handling, use logging to debug, and can be simulated by a single process during development.

The tab-size attribute is used to control the number of spaces displayed by tab characters in HTML. The default is 8. The common usage is to adjust the indentation of the code block. 1. Basic usage: Set pre{tab-size:4;} to make the tab appear as 4 space widths, supporting numbers or inherit values. 2. Usage scenario: When displaying code in the structure, adjust the tab indent to make the layout more compact and beautiful, such as setting precode{tab-size:2;}. 3. Notes: Mainstream browsers support but IE is incompatible; it only affects tab display and does not affect spaces; child elements need to be set separately, otherwise the parent settings will not be inherited. The rational use of this attribute can improve the text display effect, especially for code document typesetting.

super() is used in Python to call methods of parent classes, making the code easier to maintain and less coupling. 1. It returns a temporary superclass object, allowing you to call its methods, which is often used to still execute parent class logic when subclasses override methods; 2. In single inheritance, use super().method() to call parent class methods, such as extending functions in __init__ or speak; 3. In multi-inheritance, super() calls parent class methods in sequence in sequence in accordance with the method parsing order (MRO), and you can view the order through ClassName.mro(); 4. If you need to specify to call a parent class method, you can call this class method directly, but it will increase the coupling degree; 5. Common errors include missing parameters and mixed super(

When using ifelse in listcomprehension, the conditional judgment must be placed before the expression. The basic structure is: [Expression Aif condition else expression Bfor element in iterable object]; for example, [xifx%2==0else0forxinrange(10)] can retain even numbers and replace odd numbers to 0; multiple conditions can be nested expressions, such as ['negative'ifx