Thinking in Pandas how to use the Python data analysis library the right way /: how to use the Python data analysis library the right way. (2020)

• Record Type: Book
• Further Information: Note: Hannah Stepanek.
• Other Names: Stepanek, Hannah
• Contents: Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Introduction -- Chapter 1: Introduction -- About pandas -- How pandas helped build an image of a black hole -- How pandas helps financial institutions make more informed predictions about the future market -- How pandas helps improve discoverability of content -- Chapter 2: Basic Data Access and Merging -- DataFrame creation and access -- The iloc method -- The loc method -- Combining DataFrames using the merge method -- Combining DataFrames using the join method -- Combining DataFrames using the concat method Chapter 3: How pandas Works Under the Hood -- Python data structures -- The performance of the CPython interpreter, Python, and NumPy -- An introduction to pandas performance -- Choosing the right DataFrame -- Chapter 4: Loading and Normalizing Data -- pd.read_csv -- pd.read_json -- pd.read_sql, pd.read_sql_table, and pd.read_sql_query -- Chapter 5: Basic Data Transformation in pandas -- Pivot and pivot table -- Stack and unstack -- Melt -- Transpose -- Chapter 6: The apply Method -- When not to use apply -- When to use apply -- Improving performance of apply using Cython -- Chapter 7: Groupby Using groupby correctly -- Indexing -- Avoiding groupby -- Chapter 8: Performance Improvements Beyond pandas -- Computer architecture -- How NumExpr improves performance -- BLAS and LAPACK -- Chapter 9: The Future of pandas -- pandas 1.0 -- Conclusion -- Appendix: Useful Reference Tables -- Index
• Publisher Details: United States : Apress
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 005.1; Application program interfaces (Computer software); Python (Computer program language); Application program interfaces (Computer software); Python (Computer program language); Electronic books
• Languages: English
• ISBNs: 9781484258392; 1484258398
• Related ISBNs: 148425838X; 9781484258385
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