zachlipp

Minimal implementation of comment-delimited Jupyter cells using molten.nvim

Instructions

1. Configure neovim to use this init.lua

• If you aren't using neovim and you don't have a custom configuration, just plop init.lua into ~/.config/nvim/ and it should start up
• If you don't want to overwrite an existing configuration, use the NVIM_APPNAME envvar to specify a new directory for this session. See :h NVIM_APPNAME
• Be sure to put vim-plug somewhere this vim can see it, e.g. ~/.local/share/$NVIM_APPNAME/site/autoload
• Open neovim with nvim, then run :PlugInstall

2. Start a session

• Create a new directory, for example molten-demo

zachlipp

from typing import Literal


class TicTacToe:
    def __init__(self):
        self.dim = 3
        self.placements = ["-"] * self.dim**2
        self.marks = ["X", "O"]
        self.current_player = 0
        self.moves = 0

zachlipp

import random

import numpy as np
import tensorflow as tf
import torch


class ExtremelyRandomSeed:
   @staticmethod
    def _get_nondeterministic():

zachlipp

library(readr)
library(ggplot2)
library(tidyr)
library(dplyr)
library(grid)

# Read and clean file
tb = read_csv("tidy_tuesday.csv", col_names = T, skip = 2) %>%
  slice(2:nrow(.)) %>%
  filter(Occupation1 != "Not listed or unknown")

zachlipp

library(tidyverse)

df_fruit <- structure(list(person = structure(c(2L, 1L, 1L, 2L, 2L, 2L, 2L
), .Label = c("Dave", "Jane"), class = "factor"), fruit = structure(c(1L, 
                                                                      2L, 3L, 5L, 7L, 4L, 6L), .Label = c("apple", "banana", "carrot", 
                                                                                                          "grape", "orange", "pear", "pineapple"), class = "factor"), amount = c(12, 
                                                                                                                                                                                 14, 16, 17, 18, 9, 10)), .Names = c("person", "fruit", "amount"
                                                                                                                                                                                 ), row.names = c(NA, -7L), class = "data.frame")

zachlipp

# Similar to https://stackoverflow.com/questions/22801153/dplyr-error-in-n-function-should-not-be-called-directly

library(magrittr)
set.seed(777)

df <- data.frame(value = rnorm(100))

df %>%
  dplyr::summarise(total = sum(value))
  

zachlipp

library(purrr)
library(dplyr)

SeparateDelimitedColumn = function(df, col, delim) {
  #' Convert a delimited column in a dataframe column to a dataframe of logicals
  #' 
  #' This function splits a list in a dataframe to dummy columns indicating
  #' whether or not an item was present in the column
  #' @param df dataframe with a liscol
  #' @param col the delimted column to split