BIOF 309 - Introduction to Python

Course Description

Python is a free, open-source and powerful programming language that is easy to learn. This course is intended for non- programmers who want to learn how to write programs that expand the breadth and depth of their daily research. Most elementary concepts in modern software engineering will be covered, including basic syntax, reading from and writing texts files, debugging python programs, regular expressions, and creating reusable code modules that are distributable to peers. The course will also focus on potential applications of Python to bioinformatics, including sequence analysis, data visualization and data analysis. Students will also learn to use the Jupyter Notebook and the PyCharm integrated development environment (IDE), which are available at no cost.

INDIVIDUAL LAPTOP IS NEEDED FOR EACH CLASS.
Continuum Analytics Installer Anaconda (V3) will be utilized to install Python and the necessary packages.

Learner Outcomes

When you complete the course successfully, you will be able to:

Gain basic understanding of elementary concepts ubiquitous in modern software engineering: regular expressions; reading from and writing to text files; and, recursion
Apply Python to important functions in bioinformatics such as sequence analysis, data analysis and data visualization

Learn how to obtain and rework an existing script to meet current needs
Gain experience in two programming environments (Jupyter Notebook and PyCharm IDE)

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

Prerequisites

There are no prerequisites for this course.

REFUND
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BIOF 309 - 011

Summer 2023

Jun 14, 2023 to Aug 01, 2023

Available

Introduction to Python

Online Asynchronous

Jun 14, 2023 to Aug 01, 2023

Eligible Discounts Can Be Applied at Checkout (2 Credits)

$775.00

.Gov Discount 2 Credit Course

2 Credit(s)

Paul Suhwan Lee
Emily Yaklich