Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps /

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This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to rel...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kats, Philipp (Autor), Katz, David (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., [2019]
Temas:
Python (Computer program language)
Python (Langage de programmation)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps
  • Contributors
  • Table of Contents
  • Preface
  • Section 1: Getting Started with Python
  • Chapter 1: Preparing the Workspace
  • Chapter 2: First Steps in Coding
  • Variables and Data Types
  • Chapter 3: Functions
  • Chapter 4: Data Structures
  • Chapter 5: Loops and Other Compound Statements
  • Chapter 6: First Script
  • Geocoding with Web APIs
  • Chapter 7: Scraping Data from the Web with Beautiful Soup 4
  • Chapter 8: Simulation with Classes and Inheritance
  • Chapter 9: Shell, Git, Conda, and More
  • at Your Command
  • Section 2: Hands-On with Data
  • Chapter 10: Python for Data Applications
  • Chapter 11: Data Cleaning and Manipulation
  • Chapter 12: Data Exploration and Visualization
  • Chapter 13: Training a Machine Learning Model
  • Chapter 14: Improving Your Model
  • Pipelines and Experiments
  • Section 3: Moving to Production
  • Chapter 15: Packaging and Testing with Poetry and PyTest
  • Chapter 16: Data Pipelines with Luigi
  • Chapter 17: Let's Build a Dashboard
  • Chapter 18: Serving Models with a RESTful API
  • Chapter 19: Serverless API Using Chalice
  • Chapter 20: Best Practices and Python Performance
  • Appendix: Assessments
  • Other Books You May Enjoy
  • Index.

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