Workshop Description (Introductory Course)

This workshop will cover the basic concepts of Python programming. The course is supplemented with hands-on exercises geared towards computational biology use cases. No previous knowledge of programming is assumed.

Workshop Materials

  •   Data types: strings, integers, floats, booleans
  •   Expressions, variables and assignments
  •   Conditional statements
  •   Functions and methods

Day 1 Slides- W9-IntroToPython-Day1

  •    String indexing and slicing
  •    Loops
  •    Lists
  •    Dictionaries

Day 2 slides- W9-IntroToPython-Day2

  •    1: Running scripts
  •    2: Using built in modules: math, sys
  •    3: Writing modules
  •    4: Reading/writing with text files

Day 3 Slide- W9-IntroToPython-Day3

Technical Requirements

A MacOS, Windows or Linux computer with Anaconda–   https://www.anaconda.com/products/individual Installed (Python 3.8 version). With this installation you will automatically receive Python interpreter as well as Spyder IDE. Please try to ensure, prior to the workshop, that Anaconda & Spyder have been successfully installed. Helpful instructions for verifying proper installation can be found in the “Getting Started” section of the Anaconda User Guide:  https://docs.anaconda.com/anaconda/user-guide/getting-started/ In case you run into any problems, we will bring up a zoom session 1/2 hour before the class to sort these out.

Instructor

Dr. Seyoon Ko is a Postdoctoral Fellow at Hua Zhou’s laboratory in the Department of Biostatistics. Dr. Ko’s research interests include large-scale computational methods in biostatistics and bioinformatics using parallel and distributed computing. His current projects include developing scalable software for genome-wide associational study modeling within-subject variability and identifying ancestry-informative markers at the biobank scale. He earned a Ph.D. degree in Statistics from Seoul National University in South Korea, as well as a M.S. degree in Computational Sciences and a B.S. degree in Physics, Mathematical Sciences, and Computational Science.
Email: kos@g.ucla.edu

Video

Reviews

It was a great intro course in Python! I’m glad I took the course!

I came in with zero experience and I feel much more comfortable with python now.

Thanks for a great workshop. You provided excellent and useful material for all types of researchers.

Thank you! It was an excellent course, teaching was perfect.

Very clear, perfect pace for beginners, great job, would highly recommend!

Workshop Details

Prerequisites: None
Length: 3 days, 3 hrs per day
Level: Introductory
Location: Boyer 529
Seats Available: 28

Spring 2023 Dates

April 4, 5, and 6
9:00 AM – 12:00 PM

REGISTRATION IS CLOSED!

UCLA and Cedars-Sinai Affiliates: Click to Enroll
Non-UCLA Affiliates: Click to Enroll
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