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Chapter 1: Introduction to pandas and DataAnalysis

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Chapter 2: Installation of pandas andSupporting Software

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Chapter 3: Using NumPy and DataStructures with pandas

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Chapter 4: I/Os of Different Data Formatswith pandas

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Chapter 5: Indexing and Selecting in pandas

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Chapter 6: Grouping, Merging, andReshaping Data in pandas

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Chapter 7: Special Data Operations inpandas

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Chapter 8: Time Series and Plotting UsingMatplotlib

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Chapter 9: Making Powerful Reports InJupyter Using pandas

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Chapter 10: A Tour of Statistics with pandasand NumPy

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Chapter 11: A Brief Tour of BayesianStatistics and Maximum LikelihoodEstimates

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Chapter 12: Data Case Studies Usingpandas

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Chapter 13: The pandas Library Architecture

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Chapter 14: pandas Compared with OtherTools

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Chapter 15: A Brief Tour of MachineLearning

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