// inside WSL: compile with -O2 -march=native #include <chrono> #include <iostream> auto time_algo(auto func, vector<int>& data) auto start = chrono::high_resolution_clock::now(); func(data); auto end = chrono::high_resolution_clock::now(); return chrono::duration<double>(end-start).count();
#Windows11 #DSA #MSc #Algorithms #WSL2 #Cpp #Performance dsa msc windows 11
import networkx as nx import matplotlib.pyplot as plt def draw_tree(node, depth=0, pos=None, graph=None): # Recursively build a binary tree visualization ... plt.savefig(f"recursion_depth_depth.png") // inside WSL: compile with -O2 -march=native #include
# Run as Admin in PowerShell wsl --install Default installs Ubuntu 22.04/24.04 LTS. Reboot. With Windows 11 and its stack, you can
With Windows 11 and its stack, you can now build a DSA environment that is faster for algorithmic profiling, more integrated for debugging, and far less brittle than dual-booting. As an MSc student, you don’t just need to run algorithms—you need to profile memory, visualize recursion trees, compare sort times across data sizes, and ship clean, reproducible code.