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The Python console log can be opened by pressing Ctrl+Alt+S and then navigating to Keymap. Here you can specify a shortcut that will help open the Main menu | Tools | Python or Debug Console. The console log is operable with the up and down arrow keys.

The print() statement fails if your code does not have access to the console. To define basic logging needs, several lines of code are needed. Including additional logging information is not easy. The print() statement only displays messages on the console.

Python logging platforms Line 1: import the logging module. Line 2: create a basicConf function and pass some arguments to create the log file. In this case, we indicate the severity level, date format, filename and file mode to have the function overwrite the log file. Line 3 to 5: messages for each logging level.

Log Handlers There are several types of handlers; the most common ones are StreamHandler and FileHandler . With StreamHandler , the logger will output to the terminal, while with FileHandler , the logger will output to a particular file.

Configuring Logging Creating loggers, handlers, and formatters explicitly using Python code that calls the configuration methods listed above. Creating a logging config file and reading it using the fileConfig() function. Creating a dictionary of configuration information and passing it to the dictConfig() function.

Python Logging Basics Create and configure the logger. ... Here the format of the logger can also be set. ... Also, the level of the logger can be set which acts as the threshold for tracking based on the numeric values assigned to each level. ... The list of all those parameters is given in Python Library.

The following are the top 12 Python logging best practices to debug your applications faster. Set the optimal logging level. ... Configure Loggers at the module level. ... Use Timestamps with consistent formatting. ... Use structured logging. ... Use different logging levels. ... Use log rotation. ... Avoid logging sensitive information.