I was recently tasked with a project where I needed to gather data from Stack Overflow so it could be easily evaluated without having to dig around the website. Stack Exchange has many REST APIs available, some of which that don’t even need tokens or authentication, so it came down to how I wanted to consume this data.Read More
We’re going to see how to take a CSV file, parse it into JSON, make some changes, and then convert it back into a CSV file using Node.js and a few readily available packages.Read More
Have you ever needed to work with comma separated value (CSV) data that wasn’t formatted in a great way or figure out complete address information based on very little provided address information? While unrelated, these two topics come up quite a bit, more frequently when I’m dealing with person information or lead data that I retrieve from conferences and other events.
The great thing is that we live in a time where plenty of development libraries and services exist to make this process of data parsing and manipulation easy to accomplish in an automated fashion.
We’re going to see how to take a CSV file representing partially complete people data and convert it to JSON. Then we’re going to fill in the gaps when it comes to the geolocation side of things, using the HERE Geocoder API.Read More
Ever found yourself working with comma separated value (CSV) data from a file or other source? This format is easy to generate if you’re working with spreadsheet applications like Google Sheets or Microsoft Excel, and RDBMS applications. So how do we load this data and work with it in an application? More specifically an application built with the Go programming language?
We’re going to see how to take a CSV file and load it into a custom data structure to eventually be printed as JSON within the application.Read More
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