Thinking in Pandas : How to Use the Python Data Analysis Library the Right Way

Thinking in Pandas How to Use the Python Data Analysis Library the Right Way

Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of b...

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Detalles Bibliográficos
Autor principal: Stepanek, Hannah. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Python (Computer program language).
Open source software.
Computer programming.
Machine learning.
Big data.
Python.
Open Source.
Machine Learning.
Big Data.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631939106719
Tabla de Contenidos:
  • Chapter 1: Introduction
  • Chapter 2: Basic Data Access and Merging
  • Chapter 3: How Pandas Works Under the Hood
  • Chapter 4: Loading and Normalizing Data in pandas
  • Chapter 5: Basic Data Transformation in pandas
  • Chapter 6: The Apply Method
  • Chapter 7: Groupby
  • Chapter 8: Performance Improvements Beyond pandas
  • Chapter 9: The Future of Pandas
  • Appendix.-.

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