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Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter / Wes McKinney.

Por: Detalles de publicación: Sebastopol, CA : O'Reilly Media, 2022Edición: Third editionDescripción: xvi, 561 pages : illustrationsTipo de contenido:
  • text
Tipo de medio:
  • unmediated
Tipo de soporte:
  • volumen
ISBN:
  • 9781098104030
Materia(s): Clasificación:
  • 006.312
Clasificación LoC:
  • QA76.73.P98
Contenidos:
Preliminaries -- Python Language Basics, IPython, and Jupyter Notebooks -- Built-In Data Structures, Functions, and Files -- NumPy Basics: Arrays and Vectorized Computation -- Getting Started with pandas -- Data Loading, Storage, and File Formats -- Data Cleaning and Preparation -- Data Wrangling: Join, Combine, and Reshape -- Plotting and Visualization -- Data Aggregation and Group Operations -- Time Series -- Introduction to Modeling Libraries in Python -- Data Analysis Examples.
Resumen: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.
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Preliminaries -- Python Language Basics, IPython, and Jupyter Notebooks -- Built-In Data Structures, Functions, and Files -- NumPy Basics: Arrays and Vectorized Computation -- Getting Started with pandas -- Data Loading, Storage, and File Formats -- Data Cleaning and Preparation -- Data Wrangling: Join, Combine, and Reshape -- Plotting and Visualization -- Data Aggregation and Group Operations -- Time Series -- Introduction to Modeling Libraries in Python -- Data Analysis Examples.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

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