Difference between revisions of "PythonOnSHIPs"

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::Find the minimum and maximum value of the resulting array in previous exercise.
 
::Find the minimum and maximum value of the resulting array in previous exercise.
 
::Find the sum total of all elements of the resulting array.
 
::Find the sum total of all elements of the resulting array.
::What is the length of an array created by the following numpy command:  a = np.zeros( int(np.sqrt(np.pi*100)+3.) )?
+
::What is the length of the array 'a' created by the following numpy command:  a = np.zeros( int(np.sqrt(np.pi*100)+3.) )?
 +
::What is the data type of the array 'a' in the previous exercise?
 
::Create a 2-Dimensional numpy array of size 15 columns X 17 rows filled with zeros.  Set the middle column to 10.  Set the last five rows to 20.
 
::Create a 2-Dimensional numpy array of size 15 columns X 17 rows filled with zeros.  Set the middle column to 10.  Set the last five rows to 20.

Revision as of 23:11, 29 May 2013

Tutorial 1: Overview of Programming

Presents the basic concepts of programming for newbies.
File:Python1.pdf


Tutorial 2: Data, Variables and Math operators

An introduction to the python interpreter, variables and types of data they store. Using math functions and python as a calculator.
File:Python2.pdf
Exercises:
Evaluate the square root of 10.1*10.2 + 15.3*15.4
What happens when you add two string variables together?
Create a numpy integer array of values from 0 to 100, incrementing in steps of 2
Create a numpy floating-point array of 101 elements that range in value from 0.0 to 1.0
Perform the following operations (in order) on the previous array: trignometric sin, multiply by 1000.0 and convert it to integer format.
Find the minimum and maximum value of the resulting array in previous exercise.
Find the sum total of all elements of the resulting array.
What is the length of the array 'a' created by the following numpy command: a = np.zeros( int(np.sqrt(np.pi*100)+3.) )?
What is the data type of the array 'a' in the previous exercise?
Create a 2-Dimensional numpy array of size 15 columns X 17 rows filled with zeros. Set the middle column to 10. Set the last five rows to 20.