Explore the extensive use of Boost libraries in a real-world C++ project through this conference talk from ACCU 2019. Dive into a case study of a search engine that employs natural language processing techniques to extract information from unstructured medical narratives. Learn how Boost libraries are leveraged for various functionalities including graph processing, parsing, memory-mapped files, logging, serialization, and Python API exposure. Gain insights into the practical application of Boost's extended suites of containers, algorithms, and utilities. Examine real code examples demonstrating how these libraries integrate into the project, while also considering the trade-offs and challenges of using Boost extensively. Get an honest reflection on the speaker's experience with Boost and understand how it enables complex functionality in C++ programming, particularly in scenarios where standard libraries fall short.
Overview
Syllabus
Bootstrapped by Boost - Thomas Guest [ACCU Conference 2019]
Taught by
ACCU Conference