Configure Visual Studio Code For C++ Development

I mentioned a few months ago that I was going to periodically go back to the basics when it comes to computer programming and application development. Building a Hello World Example C++ Application was a first example of what I was talking about. However, in this previous example, much of our work was done in a basic text editor, then compiled and ran with a Command Prompt or Terminal. It works, but it isn’t the most elegant.

In this tutorial we’re going to see how to configure a more modern IDE for C++ development. Visual Studio Code (VSC) actually has really nice support for C++, so we’re going to see how to configure it.

Validating Data Structures And Variables In Golang

When working with Go or any programming language for that matter, there is almost aways a need to validate the data that the user provides before you start working with it or storing it in a database. A sloppy way to validate data would be to use a series of if/else conditions, switch statements, and a bunch of regular expressions, but there are better ways to get the job done without having a disaster of a codebase in terms of maintainability.

We’re going to see how to use the validator.v9 package in Golang to validate native Go data structures, their fields, and any variables that don’t quite fit in.

Analyze Stack Overflow Data With Golang And HTTP

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.

In this tutorial, we’re going to see how to consume question and comment data from the Stack Exchange API using Golang and then export it to comma separated value (CSV) for further evaluation.

Convert Data Between CSV And JSON With Simple JavaScript

A popular subject on the blog has always been around the conversion of one data format to another data format. For example we’ve already seen how to convert XML data to JSON data with JavaScript, but what if we wanted to work with comma separated value (CSV) data instead?

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.

Building A Hello World Example C++ Application

I decided to take some time every month to go back to the basics when it comes to development. As you might know, I earned a Computer Science degree from the University of California, Merced, and most of the courses I took involved C++ development. While some of the more modern code schools teach JavaScript, the common university will continue to teach C++ for the foreseeable future.

Getting started with something like C++ can seem like a daunting task, especially since C++ is such a powerful development language. We’re going to see how to write, compile, and run a simple C++ application to help you get started with one of the more seasoned development options.

Simple Data Processing With JavaScript And The HERE API

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.

Scraping Paginated Lists With Node.js, Cheerio, Async / Await, And Recursion

In this tutorial we are going to develop a small Node.js application which will be used to scrape paginated content and export the data to a JSON file. The full source code for the tutorial can be found here.

We will be scraping a list website and saving ten lists per page from the “new lists” section and the final application can be seen below.