00_welcome_page
01_welcome_navigating_the_graph_l
02_why_pathfinding_matters
03_learning_objectives
04_graph_fundamentals_refresher
05_introducing_weights_and_direct
06_what_defines_a_path
07_calculating_path_cost
08_the_shortest_path_problem
09_the_challenge_of_shortest_path
10_two_distinct_problems_weight_v
11_introducing_dijkstra_s_algorit
12_dijkstra_s_intuition_the_greed
13_dijkstra_s_key_components
14_step_1_initialization
15_step_2_relaxation_distance_upd
16_dijkstra_s_process_overview
17_dijkstra_manual_trace_setup
18_dijkstra_trace_step_a_initial_
19_dijkstra_trace_step_b_confirmi
20_dijkstra_trace_final_output
21_python_implementation_of_dijks
23_transition_directed_acyclic_gr
24_the_purpose_of_topological_sor
25_kahn_s_algorithm_intuition
26_topological_sort_step_by_step
28_python_implementation_of_topol
29_shortest_path_in_dags_the_effi
30_comparison_dijkstra_vs_topolog
31_interactive_quick_check
32_summary_and_next_steps
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