PyChecker detects standard errors in Python code, making it a useful tool for developers.
PyChecker is an excellent tool for finding bugs in python source code. It is specifically created to find problems that a compiler would typically catch for less dynamic languages like C and C++. Similar to lint, it offers a dynamic approach towards problem-solving whereby some warnings may be incorrect, but these occurrences should be infrequent.
PyChecker works by importing each module first. The import process provides fundamental details about each module. If there is an import error, the module cannot be processed. After importing, the code for each function, class, and method is checked for potential problems.
This tool can detect several types of problems such as passing the wrong number of parameters to functions, using format strings that do not match arguments, using class methods, and attributes that do not exist, among others. Additionally, it also detects unused globals and locals, unused function and method arguments, and absence of doc strings in modules, classes, functions, and methods.
Recent updates to this software have been made in response to user feedback. PyChecker now handles command line arguments more efficiently, and it has fixed spurious warnings. Moreover, it has added new features like the ability to ignore some attribute names, support for Python 2.5, and a new option to ignore import errors.
Overall, PyChecker is an excellent tool for python developers who want to ensure that their source code is free from errors. It provides an efficient and straightforward way of detecting bugs that could potentially cause problems for an application in the long run.
PyChecker works by importing each module first. The import process provides fundamental details about each module. If there is an import error, the module cannot be processed. After importing, the code for each function, class, and method is checked for potential problems.
This tool can detect several types of problems such as passing the wrong number of parameters to functions, using format strings that do not match arguments, using class methods, and attributes that do not exist, among others. Additionally, it also detects unused globals and locals, unused function and method arguments, and absence of doc strings in modules, classes, functions, and methods.
Recent updates to this software have been made in response to user feedback. PyChecker now handles command line arguments more efficiently, and it has fixed spurious warnings. Moreover, it has added new features like the ability to ignore some attribute names, support for Python 2.5, and a new option to ignore import errors.
Overall, PyChecker is an excellent tool for python developers who want to ensure that their source code is free from errors. It provides an efficient and straightforward way of detecting bugs that could potentially cause problems for an application in the long run.
What's New
Version 0.8.18: N/A