This is test post to check if Python code works. This is test.

`library(reticulate)`

```
import numpy as np
x = [1, 2, 3]
print(x)
```

`## [1, 2, 3]`

`y = np.mean(x)`

\(\bar{x}\) is the average, which is defined as \[ \bar{x} = \frac{\sum x}{n} \]

So what is the aveage of `y`

? It is `2`

.

`x = c(1:5)`

The value of x is R session is `1, 2, 3, 4, 5`

.

More text is to be added.

# R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

You can embed an R code chunk like this:

`summary(cars)`

```
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
```

```
fit <- lm(dist ~ speed, data = cars)
fit
```

```
##
## Call:
## lm(formula = dist ~ speed, data = cars)
##
## Coefficients:
## (Intercept) speed
## -17.579 3.932
```