Enough Python to be Dangerous(In-Person)
The purpose of this talk is to show how you only need to know “enough” Python to be “dangerous”. (Just as most people never know how to use advanced features of Excel but still use it all the time, then you do not need to know complex features of Python to be able to use it for advanced programming and visualization).
Topics include:
- Tips for organising your data in Excel to facilitate Python processing
- Brief introduction to important Python libraries such as Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn
- Analysing and visualising your data
- Analysing systematic literature reviews