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Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing Ltd.,
[2019]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
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.