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

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

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
Otros Autores: Rajagopalan, Gayathri, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, California : APress [2021]
Edición:1st ed. 2021.
Materias:
Python.
Statistics, general.
Professional Computing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631356906719
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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