Python Institute PCPP-32-101 - PCPP1-Certified Professional in Python Programming 1

The two true statements related to PEP 8 programming recommendations for code writing are Option B and Option D.

Option B is true because PEP 8 recommends making object type comparisons using the isinstance() method instead of comparing types directly 1.

Option D is true because PEP 8 recommends not writing string literals that rely on significant trailing whitespaces as they may be visually indistinguishable, and certain editors may trim them 1.

To test whether two variables refer to the same object in memory, you should use the is operator. The is operator returns True if the two variables point to the same object in memory, and False otherwise.

For example:

a = [1, 2, 3]

b = a

c = [1, 2, 3]

print(a is b) # True

print(a is c) # False

In this example, a and b refer to the same list object in memory, so a is b returns True. On the other hand, a and c refer to two separate list objects with the same values, so a is c returns False.

C. w.resizable()

The resizable() method takes two Boolean arguments, width and height, that specify whether the main window can be resized in the corresponding directions. Passing False to both arguments makes the main window non-resizable, whereas passing True to both arguments (or omitting them) makes the window resizable.

Here is an example that sets the dimensions of the main window to 500x400 pixels and makes it non-resizable:

importtkinter as tk

root = tk.Tk()

root.geometry("500x400")

root.resizable(False, False)

root.mainloop()

References:

Tkinter documentation: https://docs.python.org/3/library/tk.html

Tkinter tutorial: https://www.python-course.eu/python_tkinter.php

The resizable () method of a tkinter window object allows you to specify whether the window can be resized by the user in the horizontal and vertical directions. You can pass two boolean arguments to this method, such as w.resizable (False, False), to prevent both dimensions from being changed. Alternatively, you can pass 0 or 1 as arguments, such as w.resizable (0, 0), to achieve the same effect1.

References:

1: https://stackoverflow.com/questions/36575890/how-to-set-a-tkinter-window-to-a-constant-size

Other methods that can be used to control the window size are:

w.geometry () : This method allows you to set the initial size and position of the window by passing a string argument in the format “widthxheight+x+y”, such as w.geometry (“500x500+100+100”)12.

w.minsize () and w.maxsize (): These methods allow you to set the minimum and maximum size of the window in pixels, such as w.minsize (500, 500) and w.maxsize (1000, 1000)12.

w.pack_propagate () and w.grid_propagate (): These methods allow you to enable or disable the propagation of the size of the widgets inside the window to the window itself. By default, these methods are set to True, which means that the window will adjust its size according to the widgets it contains. You can set these methods to False or 0 to prevent this behavior, such as w.pack_propagate (0) or w.grid_propagate (0).

w.place (): This method allows you to place the window at a specific position and size relative to its parent window or screen. You can use keyword arguments such as x, y, width, height, relx, rely, relwidth, and relheight to specify the coordinates and dimensions of the window in absolute or relative terms, such as w.place (x=0, y=0, relwidth=1, relheight=1).

References:

2: https://stackoverflow.com/questions/25690423/set-window-dimensions-in-tkinter-python-3 : https://stackoverflow.com/questions/36575890/how-to-set-a-tkinter-window-to-a-constant-size/36576068#36576068 : https://www.skotechlearn.com/2020/06/tkinter-window-position-size-center-screen-in-python.html

ElementTree is a Python built-in module that provides a simple and efficient API for parsing and creating XML data. It allows you to access and manipulate XML data in a very straightforward way, making it easy to write XML processing applications.

ConfigParser is a built-in library in Python that allows you to read and write configuration files. The read method is used to read the configuration file which can be in any of the supported file formats, such as INI, YAML, and JSON. The read_dict method is used to read the configuration from a Python dictionary. The read_conf and read_str options are not valid methods in the ConfigParser module.

Therefore, the correct options to load a configuration using ConfigParser are A. read and D. read_string.

The dump() method in the xml.etree.ElementTree module allows you to output a debug representation of an XML tree to a file or standard output. This method is useful for analyzing the structure of the tree and tracking down errors.

Answer: A. Deserialization is the process of converting data that has been serialized or encoded in a specific format, back into its original form as an object or a data structure in memory. In Python, this typically involves creating Python objects based on sequences of bytes that have been serialized using a protocol such as JSON, Pickle, or YAML.

For example, if you have a Python object my_obj and you want to serialize it to a JSON string, you might do something like this:

importjson

serialized_obj = json.dumps(my_obj)

To deserialize the JSON string back into a Python object, you would use the json.loads() method:

deserialized_obj = json.loads(serialized_obj)

This would convert the JSON string back into its original Python object form.

In the given code snippet, the repeat function is a decorator that takes an argument num_times specifying the number of times the decorated function should be called. The repeat function returns an inner function wrapper_repeat that takes a function func as an argument and returns another inner function wrapper that calls func num_times times.

The provided code snippet represents an example of a decorator that accepts its own arguments. The @decorator_function syntax is used to apply the decorator_function to the some_function function. The decorator_function takes an argument arg1 and defines an inner function wrapper_function that takes the original function func as its argument. The wrapper_function then returns the result of calling func, along with the arg1 argument passed to the decorator_function.

Here is an example of how to use this decorator with some_function:

@decorator_function("argument 1")

defsome_function():

return"Hello world"

When some_function is called, it will first be passed as an argument to the decorator_function. The decorator_function then adds the string "argument 1" to the result of calling some_function() and returns the resulting string. In this case, the final output would be "Hello world argument 1".