Helio HackWeek 2020
These training modules will help participants prepare for the hackweek.
Installing the Anaconda Python Distribution
To install (not required) the Anaconda Python distribution on your local platform, follow the instructions at: Anconda installation Guide
Self-Taught Courses
To fully follow all the topics below, you need to have a gmail account in order to access Google Colaboratory.
Starting Point
| Lecture Topic | Interactive Link |
|---|---|
| Introduction to Jupyter Notebook |  |
| Introduction to Git | |
Introduction to Python
| Lecture Topic | Interactive Link |
|---|---|
| Running Python | |
| Data Types | |
| Conditional Statements | |
| Loops | |
| Advanced Data Types | |
| Functions | |
| Modules | |
| Datetime Module | |
| I/O on Text Files | |
Data Science
Background Knowledge
| Lecture Topic | Interactive Link |
|---|---|
| Introduction to Numpy | |
| Basic Visualization with Matplotlib | |
| Introduction to Numba | |
| Introduction to Dask | |
| Overview of Reading/Writing Data Files (text, binary, nc4, etc.) | |
| Introduction to Pandas | |
| Introduction to Seaborn | |
Machine Learning (ML)
| Lecture Topic | Interactive Link |
|---|---|
| ML Concepts | |
| Exploratory Data Analysis | |
| Regression with Scikit-Learn | |
| Regression with Tensorflow | |
The materials used here were prepared by:
- Carlos Cruz
- Jules Kouatchou
- Brent Smith
- Bruce Van Aartsen