# Overview
```{admonition} HW 1
[📚 **HW Available Now**](https://classroom.github.com/a/OUHgtClr)  
Due: **Mon, Jan 27th** (by Midnight)
```

```{important}
*Starting from this week we'll be using Github Classroom to provide class & lab materials (e.g. jupyter notebook files, datasets, etc).*  

*Any links below that include 📚, will take you to a github classroom assignment that you should accept and clone to your local computer. You can use these local files to follow-along in lecture, lab, or to work on HW assignments.* 

*We've summarized the steps and recorded a tutorial video on the [Assignments (Github Classroom)](/pages/github_classroom.md) page in-case you get confused!*
```

## Weekly Plan: Describing data, Sampling, and Simulation
```{topic} [📚 Monday Jan 13th](https://classroom.github.com/a/4Es8Effw) 
- Overview of getting and submitting assignments with [Github Classroom](/pages/github_classroom)
- Review of Python fundamentals  
- Quick guide to debugging
- Summarizing data & CLT
- Measures of Central Tendency
```

```{topic} [📚 Tuesday Jan 14th (LAB)](https://classroom.github.com/a/_8LpMasX)
- `numpy` and `matplotlib` fundamentals
```

```{topic} [📚 Wednesday Jan 15th](https://classroom.github.com/a/CVCgMVNQ) 
- Simulation and re-sampling
- monte-carlo, bootstrapping, permuting, and cross-validation
- [Statistics for Hackers](https://www.youtube.com/watch?v=Iq9DzN6mvYA) [*optional Youtube video*]
```

## Resources
```{topic} Readings
*Will be updated*
<!-- - Dating Dilemma paper -->
<!-- - Dating dilemma blog 1, blog 2 -->
```

```{topic} Python References
See this week's [Lab overview page](/labs/2/overview) for a list of resources
```
