Difference between revisions of "PythonOnSHIPs"
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::Create a numpy floating-point array of 101 elements that range in value from 0.0 to 1.0 | ::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. | ::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 an array created by the following command using nump | ||
::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 23:07, 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 an array created by the following command using nump
- 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.
