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:

Demonstrate basic knowledge of object-oriented programming in Python
Create transparent and reproducible notebooks in Google Colaboratory
Identify foundational principles in writing high-quality code
Perform hands-on exercises with entry-level concepts in scientific data analysis using Python.
Run a program of your own design in the terminal or a cloud-based environment.

This course applies toward the Bioinformatics Endeavor digital badge.

Prerequisites

There are no prerequisites for this course.

REFUND
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BIOF 309 - Session B

Fall 2023

Oct 25, 2023 to Dec 12, 2023

Available

Introduction to Python

Online Asynchronous

Oct 25, 2023 to Dec 12, 2023

Eligible Discounts Can Be Applied at Checkout (2 Credits)

$775.00

.Gov Discount 2 Credit Course

2 Credit(s)