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Explore the power of graph analytics and discover how NetworkX can help extract valuable insights from your data in this informative PyCon US talk. Learn about the extensive applications of NetworkX across various domains, including geoscience, neuroscience, genomics, biology, chemistry, quantum computing, text analysis, machine learning, causal inference, and optimization. Dive into the recent advancements in NetworkX 3.0, which now allows for accelerated backends, enabling significant performance improvements of up to 10,000 times faster processing. Gain knowledge about using GraphBLAS for CPU optimization and nx-cugraph for NVIDIA GPU acceleration, and get a glimpse into future plans for supporting distributed graphs for extreme scalability. Whether you're a beginner or an experienced data analyst, this talk offers valuable insights into leveraging graph analytics for your projects and scaling your workflows efficiently.