Pytuts

Python programming for non-programmers

This tutorial series will walk you through the very basics of computer programming using the python scripting language. The course is targeted towards the complete novice programmer. That is, someone who has never programmed in any language, or has very little experience in programming.

Programming is an essentially requirement for modern scientific research. Python, in particular, is heavily used in astronomy for its relative ease of use and power.

Registration

You are not required to register for the course, but it will be helpful for me to know how many will attend in person. To do that,

please send me and e-mail at babar@ipac.caltech.edu with your e-mail address and use the subject line: nitarp python.

Prerequisites

To join the online course and participate in python programming exercises, you will need the following:

• Python installed on your computer. We will use the anaconda distribution

http://continuum.io/downloads

How do I know its installed and ready to be used Or, testing your python.

• webEx software. We will use this online collaboration tool for viewing the presentation. You don't need to do anything right now. But, be prepared to let webEx download their app on your computer on the first session. I'll allow time to tweak webEx installation during the first session.
• Audio: You need a phone connection to dial into a toll-free number for 1-1.5 hours.

Instructions for joining the live sessions

To join live to view the presentation slides:

• go to http://caltech.webex.com on the day and time of the session.
• If requested, enter your name and e-mail address.
• Enter the meeting password
• Click "Join"
• Please ignore whatever pleas webEx makes about connecting to the audio channel by selecting 'NO' or 'Cancel', or whatever other appropriate options gets you out of the audio line. Using webEx audio is expensive. Instead, use the audio line instructions listed below.

NOTE:

• If this is your first webEx call, a java-based app will be installed on your computer.
• By default video will be ON if your computer is equipped with it.

To join live to the audio line.

• dial 866-524-3365
• Enter telecon code.

NOTE: Password and telecon code will be sent to those who provide me with their e-mail addresses.

Tentative schedule

Session 1: Introduction to programming, spyder and python.

Tuesday, 5/27/2014

3:30 pm, PDT = 6:30 pm, EDT

File:Python-tutorial-1.pdf

https://www.youtube.com/watch?v=5GHq0sAbPhM

Exercise:

What is the maximum? You are given a list of numbers. Describe (no programming here) how you will determine which of the numbers is the largest. I am looking for step-by-step direction at the very basic level. If your answer is something like "I will sort the numbers ....", you are on the wrong track. I am asking how you will start to sort the numbers to begin with. The answer I am looking is more along these lines: 'Take the first two numbers. Compare the first two numbers, etc.'

Solution:

File:Python1 solution.pdf

Python script solution for PACS array size exercise

Session 2: Data, variables, and mathematical operations.

Tuesday, 6/3/2014

3:30 pm, PDT = 6:30 pm, EDT

File:Python-tutorial-2.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

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 an array 'x' of size 20 with floating point values between 1 and 20. Create a second array 'y' of size 20 with floating point values between 1 and 20. These represent the (x,y) coordinate values of 20 objects on a Cartesian grid. Calculate the distance between a point at (2.5,7.8) and all (x,y) pair objects, and store the resulting distance values in a variable 'dist'.

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.

Solutions

Session 3: Controlling your program's flow.

Tuesday, 6/10/2014

3:30 pm, PDT = 6:30 pm, EDT

Link to Presentation

Exercises:

Solutions

Session 4: Working with files and functions.

Tuesday, 6/17/2014

3:30 pm, PDT = 6:30 pm, EDT

Link to Presentation

Exercises:

Solutions

Session 5: Plotting and other miscellanea.

Tuesday, 6/24/2014

3:30 pm, PDT = 6:30 pm, EDT

Link to Presentation

Exercises:

Solutions

Previous incarnatation

You can look a previous incarnation of this tutorial series for the NITARP/SHIPs program for a more specific idea about the course.

http://coolwiki.ipac.caltech.edu/index.php/PythonOnSHIPs