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This lecture introduces the matplotlib library for 2D graphic representation, focusing on functions like plt.plot and plt functions, numpy arrays, and the importance of np functions. Examples include representing experimental data and functions like sin(x) and x^2. The lecture also covers creating figures, legends, and error bars, as well as displaying and saving images.