apoorvalal

apoorvalal

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

apoorvalal

```{r}
library(MonetDBLite)
library(RSQLite)
library(DBI)
library(dplyr)

library(microbenchmark)
library(ggplot2)
```

apoorvalal

apoorvalal

stata_summary <-
function(
  x,
  ...
) {
    # summarize
    mod <- x
    x <- summary(x)
    
    # find outcome variable

apoorvalal

library(lfe)
library(stargazer)

set.seed(6152011)

# Number of cities                                                                                                       
L <- 1000

# Number of industries                                                                                                        
K <- 3

apoorvalal

// find->find in files
// Switch on reg_ex button
// Find:
^(.*)$
// Where:
c:\your_folder\,*.py,*.r,*.sh,*.do,*.md, -*/folder_to_exclude/*

// Then click on the find button
// On the bottom line of your search result you'll find something like:
// 21342 matches in 124 files = your lines of code

apoorvalal

sudo add-apt-repository ppa:staticfloat/juliareleases
sudo apt-get update
sudo apt-cache show julia
sudo apt-get install julia julia-doc -y
julia -E 'Pkg.update()'
julia