Monday 3 December

Python for Environmental Scientists

​​​​​Venue: Environment Canterbury, 200 Tuam St, Christchurch

Cost: free of charge to attend

Visit the workshop website to sign up:

Workshop information:

The volume of data collected and available to scientists has grown in magnitudes over the past decades. It has grown to an extent that cannot be effectively handled by spreadsheets passed from one person to another. Fortunately, the toolsets to handle large amounts of data has also grown, although it can be quite hard to keep up with the rapid developments of these toolsets.
The Python programming language is one of the most popular languages for both general purposes and scientific. This is due in part by the ease of use, open source code, and the large open source community that has developed a number of professional level toolsets for a wide range of applications.
The general goal of the workshop is to teach Python tools specifically beneficial for natural/environmental scientists in New Zealand handling large amounts of data. This will be accomplished through a combination of practical exercises and presentations. All workshop materials will be freely accessible via the workshop website.
The intended audience for the workshop are people with very little to some experience with programming (Python or otherwise). Those people with a lot of Python programming experience will not likely get much out of the workshop unless they have not used the Pandas package in the past.
The workshop will cover the fundamental handling of tabular data and the associated processing and analysis tools. We will be primarily using the toolset contained within the Pandas package. This will include reading/writing data, indexing, reshaping, computations, joining tables, time series handling, and visualization. Other advanced topics will be added based on interest.
There will be a maximum of 30 attendees for the workshop.

Suggestions for advanced topics or examples are welcome.
Please contact the instructors via the email addresses found on the website to sign up for the workshop. 


NZHS Society Sponsor
Platinum Sponsor
Gold Sponsor
Silver Sponsor
Student Mentoring
Lunch Sponsor
Student Evening
Function Sponsor
Notepad Sponsor