This software features a list-like type with improved asymptotic performance, along with comparable performance on smaller lists.
However, BList outperforms Python's list in various other use cases. These include insertion or removal from a large list, taking large slices of lists, making shallow copies of large lists, changing large slices of lists, and multiplying a list to create a large, sparse list.
It is important to highlight that BList excels with large lists. For small lists, BList and Python's list have comparable performance.
To use BList, one must import it and create a BList object. It is flexible enough to handle a single element or millions of elements. Additionally, BList can append elements, take slices, or delete elements like Python's list.
The main reason for BList's superior performance is its data structure, a B+Tree. For short lists, BList acts similarly to Python's array-based list type. For longer lists, B+Tree allows for quick and efficient operations. Furthermore, the BList supports transparent copy-on-write, where nodes that need copying can be shared between multiple parents, reducing memory usage.
Overall, BList is a solid choice for those dealing with large lists and seeking better performance. It is effortless to use and can potentially outperform Python's list in various use cases.
Version 1.0.2: N/A