Maintenance Assistant We are a serviced apartments operator with apartments dotted around primarily around the EC postcode in London. The team is vibrant, multicultural and friendly. Due to continued success and ambitious growth we are actively seeking to appoint a Maintenance Assistant to join the maintenance team who are responsible for ensuring that the apartments and the appliances are in immaculate condition. Key Responsibilities our Maintenance Assistant: Preventive and reactive maintenance Maintain the appearance of apartments; replacing broken lamps, bedroom fixtures, fittings, carrying out general repairs, moving furniture, maintaining high standards of decor Carry out short term maintenance work e.g. decorating, painting and quick repairs Work closely with all departments and be able to communicate with guests when asked To work continually with guest relations, ensuring apartments are ready for guests’ arrival Travel in and around central London either on your own or with the maintenance team Report directly to the maintenance manager Use, operate and store all tools, equipment and materials safely and securely to comply with statutory regulations e.g. COSHH Ensure that the Health and Safety regulations are always adhered to Ad hoc duties
After having shot a man in a Santa Fe bar, the famous artist Jim Stegner served his time and has since struggled to manage the dark impulses that sometimes overtake him. Now he lives a quiet life. . . until the day that he comes across a hunting guide beating a small horse, and a brutal act of new violence rips his quiet life right open. Pursued by men dead set on retribution, Jim is left with no choice but to return to New Mexico and the high-profile life he left behind, where he’ll reckon with past deeds and the dark shadows in his own heart.
There have been a number of objections raised to this location -- the primary one is that it's the first real Python case where a line of code has an effect on a following line. The syntax available in 2.4a3 requires one decorator per line (in a2, multiple decorators could be specified on the same line), and the final decision for 2.4 final stayed one decorator per line.
This wrapper_repeat() function takes arbitrary arguments and returns the value of the decorated function, func(). This wrapper function also contains the loop that calls the decorated function num_times times. This is no different from the earlier wrapper functions you have seen, except that it is using the num_times parameter that must be supplied from the outside.
Some commonly used decorators that are even built-ins in Python are @classmethod, @staticmethod, and @property. The @classmethod and @staticmethod decorators are used to define methods inside a class namespace that are not connected to a particular instance of that class. The @property decorator is used to customize getters and setters for class attributes. Expand the box below for an example using these decorators.
One of the other advantages of the decorator pattern is that wrapped objects can retain the type of the original object. As a result, you can use original and wrapped objects interchangeably, which is a significant advantage when your goal is to write flexible code. In this manner, you can easily extend the behavior of a particular object without modifying the original code.
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