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Hack-the-Planet

Session 8

Hack-the-Planet

About
Syllabus
Schedule
Sessions
Sessions
Tutorials
Tutorials
- Session 2 - (1/23)
  Session 2 - (1/23)
- Session 3 - (1/28)
  Session 3 - (1/28)
- Session 4 - (1/30)
  Session 4 - (1/30)
- Session 5 - (2/4)
  Session 5 - (2/4)
  - 5.0 -- Python variables, lists, loops
- Session 6 - (2/6)
  Session 6 - (2/6)
  - 6.0 -- Python (dict, if/else, functions)
  - 6.1 -- Wright-Fisher model miniproject
- Session 7 - (2/11)
  Session 7 - (2/11)
- Session 8 - (2/13)
  Session 8 - (2/13)
  - 8.0 -- Classes
  - 8.1 -- Data Science
- Session 9 - (2/18)
  Session 9 - (2/18)
  - 9.0 -- Scripting basics
  - 9.1 -- Scripting the WF model
- Session 10 - (2/20)
  Session 10 - (2/20)
  - 10.0 -- Sublime text
  - 10.1 -- Style
- Session 11 - (2/25)
  Session 11 - (2/25)
  - 11.0 -- Mini-project kickoff
- Session 12 - (2/27)
  Session 12 - (2/27)
  - 12.0 -- REST APIs for Bio Data
  - 12.1 -- VCF Files
- Session 13 - (3/4)
  Session 13 - (3/4)
  - 13.0 -- Debugging Challenges
- Session 14 - (3/6)
  Session 14 - (3/6)
  - 14.0 -- Debugging Challenges 2
  - 14.1 -- Data Visualization
- Session 15 - (3/11)
  Session 15 - (3/11)
  - 15.0 -- Debugging Challenges 3
  - 15.1 -- Machine Learning
- Session 17 - (3/25)
  Session 17 - (3/25)
- Session 18 - (3/27)
  Session 18 - (3/27)
  - 18.1 -- Paired Program
- Session 20 -- (4/3)
  Session 20 -- (4/3)
  - 20.0 -- Dashboards for Data Science
- Session 22 -- (4/10)
  Session 22 -- (4/10)
  - 22.0 -- Python time series analysis
- Session 24 -- (4/17)
  Session 24 -- (4/17)
  - 24.0 -- Intro to HPC Systems
- Session 26 -- (4/24)
  Session 26 -- (4/24)
  - 26.0 -- Intro to Geospatial Analysis
Resources
Resources
External Links
External Links
- courseworks
- gitter chatroom

Session 8 - (2/13)

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Icebreaker question¶

What is one thing science will never understand?

Learning objectives¶

In this session we will learn about object oriented programming and advanced python modules for scientific programming. By the end of this session you will be more familiar with the following topics:

Python classes, including data attributes and methods
numpy: Efficient numerical computing tools
pandas: Structured data analysis and manipulation
scipy: Scientific computing algorithms

Review and Discussion¶

Review homework assignments

In class exercises¶

Link to Lecture 8 slides: Python Classes & Scientific Python (numpy/pandas)
In class coding activity: Implementing the WF model as a Python class

Assignments¶

Read Python Data Science Handbook Ch 2 & 3 (numpy & pandas)
Tutorials covering numpy & pandas

Additional numpy/pandas learning resources¶

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