Python-for-Research

Review the basics of Python 3 programming
Learn how to use Python tools (e.g., the NumPy and SciPy modules) for research applications
Learn how to apply Python research tools in practical settings

OUTLINE

Week 1: Basics of Python 3

Week 1 Overview Part 1: Objects and Methods (Comprehension Check) Part 2: Sequence Objects (Comprehension Check) Part 3: Manipulating Objects (Comprehension Check) Week 1 Homework (Homework)

Week 2: Python Libraries and Concepts Used in Research

Week 2 Overview Part 1: Scope Rules and Classes (Comprehension Check) Part 2: NumPy (Comprehension Check) Part 3: Matplotlib and Pyplot (Comprehension Check) Part 4: Randomness and Time (Comprehension Check) Week 2 Homework (Homework)

Week 3: Case Studies Part 1

Week 3 Overview DNA Translation (Comprehension Check) Homework: DNA Translation (Homework) Language Processing (Comprehension Check) Homework: Language Processing (Homework) Introduction to Classification (Comprehension Check) Homework: Introduction to Classification (Homework)

Week 4: Case Studies Part 2

Classifying Whiskies (Comprehension Check) Homework: Classifying Whiskies (Homework) Bird Migration (Comprehension Check) Homework: Bird Migration (Homework) Social Network Analysis (Comprehension Check) Homework: Social Network Analysis (Homework)

Week 5: Statistical Learning

Week 5 Overview Part 1: Linear Regression (Comprehension Check) Part 2: Logistic Regression (Comprehension Check) Part 3: Random Forest (Comprehension Check) Homework: Case Study 7 (Homework) Homework: Case Study 7, Part 2 (Homework)