tkrotoff

Charts are from different sources and thus colors are inconsistent, please carefully read the chart's legends.

Like this? Check React Native vs Flutter: https://gist.github.com/tkrotoff/93f5278a4e8df7e5f6928eff98684979

Stack Overflow trends

https://insights.stackoverflow.com/trends?tags=reactjs%2Cvue.js%2Cangular%2Csvelte%2Cangularjs%2Cvuejs3

ryangray

/*
    Buttondown
    A Markdown/MultiMarkdown/Pandoc HTML output CSS stylesheet
    Author: Ryan Gray
    Date: 15 Feb 2011
    Revised: 21 Feb 2012
   
    General style is clean, with minimal re-definition of the defaults or 
    overrides of user font settings. The body text and header styles are 
    left alone except title, author and date classes are centered. A Pandoc TOC 

sudkumar

// helps us in parsing the frontmatter from text content
const matter = require('gray-matter')
// helps us safely stringigy the frontmatter as a json object
const stringifyObject = require('stringify-object')
// helps us in getting the reading time for a given text
const readingTime = require('reading-time')

// please make sure you have installed these dependencies
// before proceeding further, or remove the require statements
// that you don't use

johnkoht

// Main containers
.container
  @include outer-container

// Rows
.row
  @include row()


// A basic column without a defined width or height

rufuspollock

Challenge 1

Your task: write a script to get a nice CSV file of natural gas prices.

Please publish your results in a git repo or a gist. Please include both script and your resulting data -- so the CSV files should be stored in the repo too!

More detail:

• Prices should be Henry Hub gas prices. Use EIA data here: http://www.eia.gov/dnav/ng/hist/rngwhhdm.htm
• Hint: you can get the data from any data source on the page ...

max-mapper

Wrappers

• hummus - c++ pdf manipulator
• mimeograph - api on a conglomeration of tools (poppler, tesseract, imagemagick etc)
• pdftotextjs - wrapper around pdftotext
• pdf-text-extract - another wrapper around pdftotext
• pdf-extract - wrapper around pdftotext, pdftk, tesseract, ghostscript
• pdfutils - poppler wrapper
• scissors - pdftk, ghostscript wrapper w/ high level api
• textract - pdftotext wrapper

rufuspollock

Additions wanted - please just fork and add.

Tutorials

• Parsing PDFs by Thomas Levine
• [Get Started With Scraping – Extracting Simple Tables from PDF Documents][scoda-simple-tables]

Generic (PDF -> text)

rufuspollock

#!/usr/bin/env python
# A simple Python script to convert csv files to sqlite (with type guessing)
#
# @author: Rufus Pollock
# Placed in the Public Domain
import csv
import sqlite3

def convert(filepath_or_fileobj, dbpath, table='data'):
    if isinstance(filepath_or_fileobj, basestring):

rufuspollock

2010-11-P01.csv:4:Vendor,Expense Description,Amount,Doc No,,,^M
2010-11-P02.csv:6:Vendor,Expense Description,Amount,Doc No,,,^M
2010-11-P03.csv:6:Document No","Amount
2010-11-P04-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P05-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P06-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P07-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P08-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P09-500.csv:1:Vendor ID,Vendor Name,Cost Element,Expenditure Account Code Description,SAP Document No,Amount £,Clearing Date^M
2010-11-P10-500.csv:1:Vendor ID,Vendor Name,Cos

pudo

# This is an alternate proposal for a metadata structure for OpenSpending 
# data models. The most significant change is that data is modelled in a
# way that highlights logical connections between fields, rather based on
# columns. This also means that column naming conventions are not needed.
#
# This proposal uses YAML to represent the model, but implementations
# would probably use JSON instead.
# The proposed format is currently supported by spendb and cubepress.
#
# The following is a data model for a fictitious budget/spending dataset.