This week’s progress focused on extending the C++ graph backend in PyDataStructs with two major algorithmic implementations, Depth-First Search (DFS) and the Bellman-Ford shortest path algorithm. T...

This week’s update focused on adding the Meson-based build process in PyDataStructs and improving type handling within the graph backend. The PR builds upon PR #689, which introduced the Meson buil...

This week’s work revolved around extending the LLVM backend in PyDataStructs to support adjacency list graphs. The focus was on bridging our existing C++ graph backend with llvmlite, allowing graph...

This week’s focus was on pushing the LLVM backend for Bubble Sort further by adding optimization passes, generating highly efficient machine code via llvmlite, and benchmarking the results against ...

This week’s progress on PyDataStructs focused on a major milestone: implementing an LLVM backend for Bubble Sort using llvmlite, alongside fixing critical stability issues discovered in previous ba...

This week’s progress on PyDataStructs centered around two major efforts: implementing Dijkstra’s shortest path algorithm in the C++ backend and benchmarking it against NetworkX, followed by an inve...

This week’s progress on PyDataStructs centered around two major improvements: enabling arbitrary data storage in graph nodes using Python objects and benchmarking our Prim’s algorithm implementatio...

This week in my Season of Commits journey with FOSS United, I continued refining the performance and extensibility of PyDataStructs’ graph module. Building on last week’s C++ BFS and benchmarking f...

This week was all about smarter algorithms and faster data structures. Continuing my journey with PyDataStructs for Season of Commits with FOSS United, I made key improvements to the graph module b...

This week has been all about speed and efficiency. As part of my work for Season of Commits with FOSS United, I focused on enhancing the performance of the PyDataStructs library by implementing C++...