This project contains code examples for statistical methods implementation in python using e.g. numpy, mathplotlib and pandas. The examples are derived from/presented in the course 'Using Python for Research' from edx.org Edit

Syllabus

Week 1: Basics of Python 3

Part 1: Objects and Methods

Part 2: Sequence Objects

Part 3: Manipulating Objects

Week 2 Concepts and Libraries

Part 1: Scope Rules and Classes

Part 2: NumPy

Part 3: Matplotlib and Pyplot

Part 4: Randomness and Time

Week 3 Case Studies Part 1

Case Study 1: DNA Translation

• translating DNA to protein sequence

Case Study 2: Language Processing

• Calculate and plot statistics for word usage in books

Case Study 3: Introduction to Classification

• Introduction to kNearest-Neighbors classification and random walk

Week 4: Case Studies Part 2

Case Study 4: Classifying Whiskies

• Clustering data with pandas

Case Study 5: Bird Migration

• Working with timestamps

• Using cartopy

Case Study 6: Social Network Analysis

• using the networkx library

• visualizing basic network properties