The key to dealing with API authentication is to understand and use the authentication method correctly. 1. APIKey is the simplest authentication method, usually placed in the request header or URL parameters; 2. BasicAuth uses username and password for Base64 encoding transmission, which is suitable for internal systems; 3. OAuth2 needs to obtain the token first through client_id and client_secret, and then bring the BearerToken in the request header; 4. In order to deal with the token expiration, the token management class can be encapsulated and automatically refreshed the token; in short, selecting the appropriate method according to the document and safely storing the key information is the key.

How to efficiently handle large JSON files in Python? 1. Use the ijson library to stream and avoid memory overflow through item-by-item parsing; 2. If it is in JSONLines format, you can read it line by line and process it with json.loads(); 3. Or split the large file into small pieces and then process it separately. These methods effectively solve the memory limitation problem and are suitable for different scenarios.

In Python, the method of traversing tuples with for loops includes directly iterating over elements, getting indexes and elements at the same time, and processing nested tuples. 1. Use the for loop directly to access each element in sequence without managing the index; 2. Use enumerate() to get the index and value at the same time. The default index is 0, and the start parameter can also be specified; 3. Nested tuples can be unpacked in the loop, but it is necessary to ensure that the subtuple structure is consistent, otherwise an unpacking error will be raised; in addition, the tuple is immutable and the content cannot be modified in the loop. Unwanted values can be ignored by \_. It is recommended to check whether the tuple is empty before traversing to avoid errors.

The method of viewing the storage engine of MySQL is as follows: 1. You can use the command SHOWVARIABLESLIKE'default_storage_engine'; 2. You can use the storage engine used to view a certain table to view the storage engine through SHOWCREATETABLE or query information_schema.TABLES; 3. You can use SELECTTABLE_NAME,ENGINEFROMinformation_schema.TABLESWHERETABLE_SCHEMA='your_database'; 4. Other methods include on the command line

Temporary tables are tables with limited scope, and memory tables are tables with different storage methods. Temporary tables are visible in the current session and are automatically deleted after the connection is disconnected. Various storage engines can be used, which are suitable for saving intermediate results and avoiding repeated calculations; 1. Temporary tables support indexing, and multiple sessions can create tables with the same name without affecting each other; 2. The memory table uses the MEMORY engine, and the data is stored in memory, and the restart is lost, which is suitable for cache small data sets with high frequency access; 3. The memory table supports hash indexing, and does not support BLOB and TEXT types, so you need to pay attention to memory usage; 4. The life cycle of the temporary table is limited to the current session, and the memory table is shared by all connections. When choosing, it should be decided based on whether the data is private, whether high-speed access is required and whether it can tolerate loss.

In Python, although there is no built-in final keyword, it can simulate unsurpassable methods through name rewriting, runtime exceptions, decorators, etc. 1. Use double underscore prefix to trigger name rewriting, making it difficult for subclasses to overwrite methods; 2. judge the caller type in the method and throw an exception to prevent subclass redefinition; 3. Use a custom decorator to mark the method as final, and check it in combination with metaclass or class decorator; 4. The behavior can be encapsulated as property attributes to reduce the possibility of being modified. These methods provide varying degrees of protection, but none of them completely restrict the coverage behavior.

To configure MySQL's SSL/TLS encrypted connection, first generate a self-signed certificate and correctly configure the server and client settings. 1. Use OpenSSL to generate CA private key, CA certificate, server private key and certificate request, and sign the server certificate yourself; 2. Place the generated certificate file in the specified directory, and configure the ssl-ca, ssl-cert and ssl-key parameters in my.cnf or mysqld.cnf and restart MySQL; 3. Force SSL on the client, restrict users from connecting only through SSL through the GRANTUSAGE command, or specify the --ssl-mode=REQUIRED parameter when connecting; 4. After logging in, execute \s to check SSL status confirmation

ifelse is the infrastructure used in Python for conditional judgment, and different code blocks are executed through the authenticity of the condition. It supports the use of elif to add branches when multi-condition judgment, and indentation is the syntax key; if num=15, the program outputs "this number is greater than 10"; if the assignment logic is required, ternary operators such as status="adult"ifage>=18else"minor" can be used. 1. Ifelse selects the execution path according to the true or false conditions; 2. Elif can add multiple condition branches; 3. Indentation determines the code's ownership, errors will lead to exceptions; 4. The ternary operator is suitable for simple assignment scenarios.