This workshop is in the past and registrations are unavailable.
All times are Pacific Time Zone (Vancouver, BC, Canada).
Python is a popular language for scientific computing, and great for general-purpose programming as well. This hands-on workshop will cover basic concepts and tools, including data structures, and popular data science libraries such as pandas and numpy. This workshop uses curricula from Software Carpentry, whose mission is to help researchers get more work done in less time and with less pain by teaching them basic lab skills for scientific computing.
Setup & Software Installation
Participants will need to install Python on their device.
We will be using Python 3.7 and Jupyter notebooks throughout the workshop. The easiest way to install is via Anaconda https://docs.anaconda.com/anaconda/install/. We will also explore incorporating an IDE such as PyCharm https://www.jetbrains.com/pycharm/, please ensure you install this.
In addition to this, please make sure you install the following Python dependencies:
Matplotlib (Instructions https://matplotlib.org/3.1.1/users/installing.html )
Numpy (Instructions https://scipy.org/install.html )
Pandas (Instructions https://pandas.pydata.org/pandas-docs/stable/install.html)
Plotly (Instructions https://pypi.org/project/plotly/)
Prerequisite:
This workshop is designed for people with no background in Python.