Skip to content

Hack-the-Planet

Session 25

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 25 - (4/22)

hackers-1

Icebreaker question¶

What kind of music do you like?
- psychedelic music, lo-fi, classic, quiet indie, afrobeat, jazz, bluegrass, r&b

Learning objectives¶

In this session we will continue hacking on our projects. Instructors will rotate around the room guiding people on continuing development of their bioinformatics/data science projects.

Review and Discussion¶

NA

In class exercises¶

Individually hacking on our projects

Assignments¶

Read the Datacarpentries Introduction to Geospatial Concepts

Further readings and geospatial resources¶

https://pangeo.io/ <- Lots of links to new/interesting geospatial libraries
Geospatial Data Analysis with Python <- Course work from a recent geospatial class at UW
https://pythongis.org/ <- Introduction to Python for Geographic Data Analysis courswork

hackers-1