About the workshop

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.

Requirements

Setup & Software Installation

Participants need to bring a laptop with Python installed on their device prior to attending the workshop
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/.
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/)