Learn how to connect several essential tools to develop a simple yet intuitive dashboard using Streamlit, Plotly, DuckDB, and Pandas to visualize data from a JSON file.
A guide to building a front-end data application using Taipy, comparing it to Streamlit and Gradio, and providing a step-by-step implementation of a sales performance dashboard.
The article uses a WSJ measles heatmap to illustrate heatmaps' effectiveness in displaying vaccine impacts on infectious diseases. It guides creating custom colormaps with Matplotlib’s LinearSegmentedColormap and pcolormesh function.
TimesFM is a pretrained time-series foundation model developed by Google Research for time-series forecasting, focusing on point forecasts for univariate time series up to 512 time points with any horizon length and an optional frequency indicator.
PyStore is a simple (yet powerful) datastore for Pandas dataframes, designed with storing timeseries data in mind. It leverages Pandas, Numpy, Dask, and Parquet (via pyarrow) for efficient data handling.
