In April 1737, at age 52, Handel apparently suffered a stroke which disabled the use of four fingers on his right hand, preventing him from performing. To aid his recovery, Handel had travelled to Aachen, a spa in Germany. During six weeks he took long hot baths, and ended up playing the organ for a surprised audience.

George Frideric Handel He was strongly influenced both by the great composers of the Italian Baroque and the middle-German polyphonic choral tradition. Within fifteen years, Handel had started three commercial opera companies to supply the English nobility with Italian opera.

Terms in this set (17)

• italian, german, english. Handel composed vocal music with texts in.
• operas and oratorios. Handel wrote many.
• opera companies. While living in Italy, Handel wrote music for.
• 1 month. Handel wrote the Messiah in approximately.
• bible. The text of the Messiah is from the.
• germany.
• england.
• the 1920s.

In 1703, when Handel was 18 years old, he decided to commit himself completely to music, accepting a violinist’s position at the Hamburg Opera’s Goose Market Theater. During this time, he supplemented his income by teaching private music lessons in his free time, passing on what he had learned from Zachow.

whole tone scales

Ravel’s music includes pieces for piano, chamber music, two piano concerti, ballet music, opera and song cycles. The influence of jazz on his later music is heard within conventional classical structures in the Piano Concerto and the Violin Sonata.

ravel() in Python. The numpy module of Python provides a function called numpy. ravel, which is used to change a 2-dimensional array or a multi-dimensional array into a contiguous flattened array. The returned array has the same data type as the source array or input array.

ravel returns a view of the original array whenever possible. This isn’t visible in the printed output, but if you modify the array returned by ravel, it may modify the entries in the original array. If you modify the entries in an array returned from flatten this will never happen.

flatten() function return a copy of the array collapsed into one dimension.

numpy. c_ = <numpy.lib.index_tricks.CClass object> Translates slice objects to concatenation along the second axis. This is short-hand for np. r_[‘-1,2,0’, index expression] , which is useful because of its common occurrence.

In order to reshape a numpy array we use reshape method with the given array.

1. Syntax : array.reshape(shape)
2. Argument : It take tuple as argument, tuple is the new shape to be formed.
3. Return : It returns numpy.ndarray.

To get the number of dimensions, shape (length of each dimension) and size (number of all elements) of NumPy array, use attributes ndim , shape , and size of numpy. ndarray . The built-in function len() returns the size of the first dimension.

c. numpy.c_ = Translates slice objects to concatenation along the second axis. This is short-hand for np.

Nurse Practitioner

If both a and b are 2-D arrays, it is matrix multiplication, but using matmul or a @ b is preferred. If either a or b is 0-D (scalar), it is equivalent to multiply and using numpy. multiply(a, b) or a * b is preferred. If a is an N-D array and b is a 1-D array, it is a sum product over the last axis of a and b.

NumPy Matrix transpose() – Transpose of an Array in Python The transpose of a matrix is obtained by moving the rows data to the column and columns data to the rows. If we have an array of shape (X, Y) then the transpose of the array will have the shape (Y, X).

To transpose NumPy array ndarray (swap rows and columns), use the T attribute ( . T ), the ndarray method transpose() and the numpy. transpose() function.