A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics /

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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rajagopalan, Gayathri (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York] : Apress, [2021]
Temas:
Python (Computer program language)
Data mining.
Statistics > Data processing.
Python (Langage de programmation)
Exploration de données (Informatique)
Statistique > Informatique.
Data mining
Statistics > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1: Introduction to Python
  • Chapter 2: Exploring Containers, Classes & Objects, and Working with Files
  • Chapter 3: Regular Expressions
  • Chapter 4: Data Analysis Basics
  • Chapter 5: Numpy Library
  • Chapter 6: Data wrangling with Pandas
  • Chapter 7: Data Visualization
  • Chapter 8: Case Studies
  • Chapter 9: Essentials of Statistics.

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