Welcome to Beginning Programming in Python!

In this class you will learn how to write your first programs in Python, one of the most popular programming languages, remotely connect to a server to upload and run Python programs on UNIX, and eventually become a  junior programmer, who will be ready to continue his or her journey in the wonderful land of Coding and Scripting.

Please, check the class Syllabus page for more information on the class policies, grading, DRC services, and the instructor's, teaching assistants' and tutors' contacts.

Due to the unfortunate events of Corona-virus 19 epidemic, we will be using online facilities for lectures, instructor's office hours, class sections, and tutoring sessions. They all will be held on UCSC Zoom. 

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You will learn how to install Python 3 and write and run Python scripts using Python IDLE (pronounced AIDL) on your own computer. After you complete working on your programing assignment you will transfer your Python file to the UCSC server to run a shell script that evaluates your code. You will learn how to do it during our first lecture meetings online. Also check the Files folder (on the left of the Canvas class window) and read instructions on how to install Python 3, to use IDLE, and to connect to the UCSC UNIX timeshare using SSH and SFTP.

Thank you for joining the class! I hope you will have a wonderful coding adventure with us! Good luck!

Important Information

Quizzes, homework, and programming assignments will be submitted on Canvas. You will be provided with detailed instructions on how to do it.

If you encounter problems let us know: post your question on Canvas, attend discussion sections, or contact the teaching assistants or instructor.

The class schedule can be found here: Class Schedule.pdf

All prerecorded lecture movies can be found in the Assignments folder under the name Lecture Movies. You can watch them as many times as you like and you can take them for credits. 

All Zoom lectures can be found in the Assignments folder under the name Zoom Lectures. These lectures are long and intermixed with QA sections. You can watch them as many times you like but no credits will be awarded for watching them.


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