Mastering Python and Machine Learning

What is the syntax to create a list in Python?

• list_name =

• list_name : {item1, item2, item3}

• list_name = [item1, item2, item3]

• list_name = (item1, item2, item3)

How do you append an item to a list in Python?

• Use the append() method, e.g., my_list.append(item).

• Insert the item using my_list.insert(item).

• Use the add() method, e.g., my_list.add(item).

• Combine lists with my_list += [item].

What is the difference between a list and a tuple in Python?

• Tuples are mutable; lists are immutable.

• Lists are mutable; tuples are immutable.

• Lists are faster than tuples in all cases.

• Lists can contain only numbers; tuples can contain any data type.

How can you convert a list to a tuple in Python?

• list(my_list)

• array(my_list)

• tuple(my_list)

• convert(my_list)

What function is used to create a NumPy array from a list?

• numpy.array()

• numpy.list()

• numpy.create_array()

• array.numpy()

How do you access the shape of a NumPy array?

• array.size

• array.dimensions

• array.shape

• array.length

What method would you use to find the mean of a NumPy array?

• numpy.mean()

• numpy.median()

• numpy.sum()

• numpy.average()

How can you reshape a NumPy array?

• Use array.change_shape(new_shape) to modify the shape of a NumPy array.

• Use array.reshape(new_shape) to reshape a NumPy array.

• Call reshape_array(array, new_shape) to reshape a NumPy array.

• Use array.resize(new_shape) to change the size of a NumPy array.

What is a DataFrame in Pandas?

• A DataFrame is a type of database in Pandas.

• A DataFrame is a two-dimensional labeled data structure in Pandas.

• A DataFrame is a one-dimensional array in Pandas.

• A DataFrame is a graphical representation of data in Pandas.

How do you read a CSV file into a Pandas DataFrame?

• Use `pd.read_csv('file_path.csv')` to read a CSV file into a DataFrame.

• Use `pd.load_csv('file_path.csv')` to read a CSV file into a DataFrame.

• Read the CSV file with `pd.import_csv('file_path.csv')` into a DataFrame.

• You can load a CSV file using `pd.open_csv('file_path.csv')` to create a DataFrame.