Anthony Markham

Published my DataCamp Course - Intermediate Julia

Fri, 28 Apr 2023 01:31:58 +1000

For the past nine months I’ve been fortunate enough to be working on creating a course called “Intermediate Julia” for the online learning platform DataCamp. I’ve always believed in continual self learning, and have used DataCamp a lot myself to learn new things, so when I had the opportunity to teach this course I jumped at it.

The course follows on from an existing “Introduction to Julia” course already on DataCamp, so the content in my course builds on that. Some of the content covered in my Intermediate course includes:

Australian Airports ATIS Feed

Fri, 14 Apr 2023 18:49:58 +1000

If you’re looking for the live version of the ATIS feed it’s hosted at atis.apmarkham.com and a sample of how to extract this data is written in C++ at github.com/apmarkham/australian_airport_atis_example.

A few months ago I worked on a small weekend project to feed the current ATIS at Sydney Airport (YSSY) to both a website and a Twitter account. I wrote a post about that here, so if you aren’t sure what an ATIS is or are interested in the engine behind the original feed, have a read of that. The next step in this project was always to expand this out into a site that can fetch the ATIS for any airport that the user desires (that Airservices Australia provides info for) through a simple web interface.

Sydney Airport ATIS Feed

Tue, 20 Dec 2022 21:37:37 +1000

If you’re just looking for the ATIS feed, you can find it on Twitter @sydatis or at the YSSY subdomain on this site at yssy.apmarkham.com.

A short project that I’ve wanted to work on for some time is to be able to automatically pull the ATIS for a given airport in Australia, giving a real-time feed of the ATIS at an airport.

ATIS stands for Automatic Terminal Information Service. At most airports, the ATIS is a voice-recorded message broadcast by air traffic control on a frequency at an airport. Pilots listen to this ATIS message to get up-to-date information on the conditions at an airport prior to departure. The information that the ATIS provides includes:

Predicting Credit Card Approvals Notebook

Fri, 09 Jul 2021 02:03:49 +0100

In the past I haven’t been a big fan of Jupyter notebooks. As someone who came into the world of Python already proficient in C++ and far more used to a standard flat file structure, using notebooks seemed strange and unnecessary. Fast forward to today and I really enjoy using notebooks for most data science challenges. More importantly, I enjoy writing notebooks designed to teach something, combining code blocks with markdown text explaining each stage in the project.

NYC Taxi Fare Prediction - Kaggle Competition

Thu, 13 May 2021 02:03:49 +0100

The New York City Taxi Fare Prediction Competition was a Kaggle competition ran back in 2018, 3 years from the time of writing this post. As such, the Kaggle competition is closed for submissions that count towards the leaderboard, but I really enjoy looking at this competition as an introduction to Kaggle and machine learning competitions in general. The dataset is very approachable for a beginner with a small number of features, however it has a large number of observations (individual taxi rides) which introduces new competitors to challenges involving time complexity and how much data should actually be loaded.

Contact

Mon, 01 Jan 0001 00:00:00 +0000

If you have any questions or comments feel free to reach out.