Hướng dẫn python error exercise
Python Error Handling ExercisesLet’s check out some exercises that will help understand Python Errors better. Exercise 15-aType something so that Python gives a NameError. You’ll get a NameError when an object can’t be found in Python. Without defining zzz anywhere: print(zzz) Exercise 15-bType something so that Python gives a SyntaxError. You’ll get a SyntaxError when you make a syntax error in Python. It can be a missing quote or parenthesis. Exercise 15-c
Type something so that Python gives a TypeError. You’ll get a TypeError when you apply an operation or function to the wrong type of data, such as applying arithmetic operations to strings. str = "Hello" Exercise 15-dType something so that Python gives a IndexError. You’ll get an IndexError when you try to reach an index outside the limits of your data. str = "Hello" Exercise 15-eType something so that Python gives a KeyError. KeyError is like IndexError for dictionaries. If you try to reach a key that’s not included in your dictionary, you’ll get a KeyError dict = {1:111, 2:222, 3:333} Exercise 15-fType something so that Python gives a AttributeError. AttributeError will occur when you try to apply a method or attribute to the wrong data type which doesn’t have that method. str = "Hello" Exercise 15-gType something so that Python gives a ValueError. Value error occurs when you apply a function to a data type correctly but the content is not suitable for that operation. For example, you can apply int() to a string of numbers such as: str = "moose" ans_1 = int(str) Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, https://www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well. For a description of standard objects and modules, see The Python Standard Library. The Python Language Reference gives a more formal definition of the language. To write extensions in C or C++, read Extending and Embedding the Python Interpreter and Python/C API Reference Manual. There are also several books covering Python in depth. This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python’s most noteworthy features, and will give you a good idea of the language’s flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in The Python Standard Library. The Glossary is also worth going through.
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