2.3.3: Bokeh

columns = [ TableColumn(field="date", title="Date", formatter="datetime"), TableColumn(field="price", title="Price ($)"), TableColumn(field="volume", title="Volume") ] data_table = DataTable(source=source, columns=columns, width=400, height=400)

is a highly targeted patch release in the 2.x lifecycle of the popular Python data visualization library Bokeh . Released to address critical layout regressions, UI alignment nuances, and Content Delivery Network (CDN) extension fetching mechanics, version 2.3.3 serves as a cornerstone of stability for enterprise systems running legacy 2.x environments. bokeh 2.3.3

For developers, 2.3.3 was the version you updated to when you wanted your existing 2.x projects to be as bug-free and smooth as possible before considering a major migration. You can still explore the original 2.3.3 documentation or see the full release notes on GitHub You can still explore the original 2

, the popular interactive visualization library for Python, continues to solidify its place in the data science ecosystem with version 2.3.3. This release focuses on stability, performance improvements, and critical integration updates with high-performance data handling libraries like Datashader . columns = [ TableColumn(field="date"