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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]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Learn Python by building data science applications : |b a fun, project-based guide to learning Python 3 while building real-world apps / |c Philipp Kats, David Kats. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing Ltd., |c [2019] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | |a 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 relevant resources. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on December 06, 2019). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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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| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 700 | 1 | |a Katz, David, |e author. | |
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