| Day | Start | End | Activity | Topics | Speaker |
|---|---|---|---|---|---|
| Sunday | 9:00AM | 12:00PM | (Optional) Introduction to Data Science Tools #1 |
Using the shell/git | David Beck |
| 1:00PM | 4:00PM | (Optional) Introduction to Data Science Tools #2 |
Intro to Python/Jupyter/conda | Victor Hu | |
| 7:30PM | 8:30PM | Hack Week Kickoff Event | HackWeek Organizers | ||
| Monday | 8:30AM | 9:00AM | Introductions | ||
| 9:00AM | 10:00AM | Special topic #1 | Data wrangling with Pandas | Erica Eggleton | |
| 10:00AM | 10:30AM | Coffee break | |||
| 10:30AM | 11:30AM | Special topic #2 | Interactive data visualization | Matt Murbach | |
| 11:30AM | 12:00PM | Project introductions and quick pitches | |||
| 12:00PM | 1:30PM | Lunch break | |||
| 1:30PM | 2:30PM | Project discussion and team formation | |||
| 2:30PM | 6:00PM* | Project hacking time | |||
| Tuesday | 8:30AM | 10:00AM | Special topic #3 | Machine Learning | Chad Curtis |
| 10:00AM | 10:30AM | Coffee break | |||
| 10:30AM | 11:30AM | Discussion | Creating community goals, metrics, and credit for open electrochemical software and datasets |
||
| 11:30AM | 12:00PM | Project updates | |||
| 12:00PM | 1:30PM | Lunch break | |||
| 1:30PM | 6:00PM* | Project hacking time | |||
| Wednesday | 8:30AM | 12:00PM | Project hacking time | ||
| 12:00PM | 1:30PM | Lunch break | |||
| 1:30PM | 5:00PM | Project hacking time | |||
| 5:00PM | 8:00PM | Project presentations and wrap up | All HackWeek attendees |
* rooms will stay open until 11:30pm for continued project hacking on Monday/Tuesday if desired
Check out some of the introductory material we will cover during our optional Sunday sessions
This page is the first post in a series of introductory python tutorials:
1. Installing Python using Conda - this tutorial
2. Getting started with Jupyter
3. Using Python packages
4. Working with data
5. Making figures in Python
This page is the second post in a series of introductory python tutorials:
1. Installing Python using Conda
2. Getting started with Jupyter - this tutorial
3. Using Python packages
4. Working with data
5. Making figures in Python
This page is the third post in a series of introductory python tutorials:
1. Installing Python using Conda
2. Getting started with Jupyter
3. Using Python packages - this tutorial
4. Working with data
5. Making figures in Python
git and github git is a system used for version control and collaboration. You should have a github account and ensure that git is installed on your computer. Bash shell and git software version control The bash shell provides a programming environment that is often used to manipulate files, install programs, and basic data analysis. The git version control system (along with the github website) are widely used for sharing codes and collaborative development of software.
This page is the fifth post in a series of introductory python tutorials:
1. Installing Python using Conda
2. Getting started with Jupyter
3. Using Python packages
4. Working with data
5. Making figures in Python - this tutorial
This page is the fourth post in a series of introductory python tutorials:
1. Installing Python using Conda
2. Getting started with Jupyter
3. Using Python packages
4. Working with data - this tutorial
5. Making figures in Python
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Code of Conduct
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