Analysing live stock indexes using pandas and Matplotlib libraries in Python.
This is a Hack The Burgh VI submission for the Optiver Challenge.
The project was led and coded by me.
- Python (JupyterLab)
- pandas
- Matplotlib
- Being able to play around data only 6 months after learning to code.
- Meeting people with a similar mindset in the hackathon!
- Making a calm and steady presentation in front of the judges (even though the project was not completed!).
- Reading
.csv
files. - Displaying certain parts of DataFrames.
- Modifying the data (such as dropping NaNs).
- Plotting and combining graphs.
- Grouping by.
- Visualising correlation.
- Data is beautiful and fun to work with!
- Plotting live graphs.
- Implementing an algorithm which analyse the data.
- Starting on Machine Learning.