christlc

Use markdown with yaml metadata with Nuxt JS

Use the following repo as base

Example taken from https://github.com/davidroyer/nuxt-markdown-example

change the slug.vue file

change the nuxt.config.js

christlc

library(tabulizer)
#### PARAMETERS ####
target_str <- "An analysis of the financial provision under Subhead 000 Operational expenses is as follows"
filename <- "head156.pdf"
year <- 2012
####################

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# R version of 
#https://hackernoon.com/functional-computational-thinking-what-is-a-monad-2adea91154e
library(magrittr)
readLines("./file1") %>% readLines()

readFileCPS <- function(path, cb){
  cb(readLines(path))
}

composeCPS <- function(g,f){

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tokens_pool <- function(tokens){
  current_count <- 1
  list(get_next_token = function(){
    current_count <<- current_count +1
    if(current_count>length(tokens)){
      current_count <<- 1
    }
    return(tokens[[current_count]])
  },
  get_current_token = function(){

christlc

param(
    [string]$baseDir = "C:\SomeFolderToStoreTheData\",
    [string]$bw_client =  "000",
    [string]$bw_user = "YOURUSERNAME",
    [string]$bw_password = "YOURPASSWORD",
    [string]$filePath = "Path to Analysis Office Excel.xlsx",
    [string]$year_column = "Analysis Technical Name of Year column"
)
# Essentially the Powershell version of https://blogs.sap.com/2016/12/18/automated-updating-of-data-in-excel-files-bex-ao-via-vbavbscript/

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"""
Adapted from https://simpy.readthedocs.io/en/latest/examples/bank_renege.html
Bank renege example

Covers:

- Resources: Resource
- Condition events

Scenario:

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sudoku_board <- rbind(c(9, NA, 6,8,NA, NA, 3, NA, NA),
          c(NA, NA, NA, NA, 7, NA, NA, NA, NA),
          c(NA, NA, 1, NA, NA, NA, 6, NA, 2),
          c(NA, NA, NA, NA, 6, NA, 1, NA, 5),
          c(NA, 7, NA, NA, 5, NA, NA, 3, NA),
          c(6, NA, 3, NA, 8, NA, NA, NA, NA),
          c(4, NA, 2, NA, NA, NA, 5, NA, NA),
          c(NA, NA, NA, NA, 1, NA, NA, NA, NA),
          c(NA, NA, 5, NA, NA, 4, 9, NA, 1)
          )

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from pyproj import Proj, transform
# lat-long to HK coordinates
hk_proj = Proj(init='epsg:2326') # HK1980 projection
latlon_proj = Proj(init='epsg:4326') # lat lon projection

x1,y1 = transform(latlon_proj, hk_proj, float(lon), float(lat))

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import os
import pandas as pd

from openpyxl import load_workbook

wb = load_workbook(filename='raw_data/A02.xlsx',
                   data_only=True)

ws = wb['A02e']

christlc

import pandas as pd
import numpy as np

START_YEAR = 2007
END_YEAR = pd.datetime.today()

def main():
    df = pd.DataFrame()
    df['Day'] = pd.date_range(str(START_YEAR), str(END_YEAR))
    df['Month'] = df.Day.map(lambda x: "%d-%02d" % (x.year, x.month))