Python3

How To Visualise Sydney’s Temperature Change from 1859 to 2019 Using Matplotlib

I believe one of the main current events you have read about must be the Australian Bushfire Crisis. The devastating disaster has affected more than 10 million hectares of land, which is compatible to the land area of Portugal, and an estimated 1 billion wild mammals, birds and reptiles have been killed (Source here). Increasing evidence has shown the links between climate change/global warming and this year’s bushfire, such as extreme temperature (1.

Build an Interactive Choropleth Map with Plotly and Dash

Last week, I finished my final assignment in IBM Data Science course, which is to find an ideal suburb for opening an Italian restaurant based on location data. During the process, I web-scrapped property median price (i.e. House buy/rent and Unit buy/rent) for each suburb in Sydney and plotted them on Choropleth maps, respectively. However, I was wondering if it is possible to combine all these maps in one and select one of them just by clicking name from a dropdown menu.

Running Python and R within Jupyter Lab from Remote Server

Recently, I started converting from R to Python as I found out that more and more my daily data analysis could be smoothly handled by Python, especially when the data size is getting huge and requiring considerable computing power. I could fully utilise the computing power from remote servers by running Python on them. During the learning process, I learned about Jupyter Lab and impressed by its clean and simple design.