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You're reading from Learn Python by Building Data Science Applications A fun, project-based guide to learning Python 3 while building real-world apps

Product type Paperback

Published in Aug 2019

Publisher Packt

ISBN-13 9781789535365

Length 482 pages

Edition 1st Edition

Languages

Python

Tools

Pygame

Concepts

Application Development

Authors (2):

Philipp Kats

David Katz

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Table of Contents (26) Chapters

Preface

1. Section 1: Getting Started with Python

2. Preparing the Workspace FREE CHAPTER

3. First Steps in Coding - Variables and Data Types

4. Functions

5. Data Structures

6. Loops and Other Compound Statements

7. First Script – Geocoding with Web APIs

8. Scraping Data from the Web with Beautiful Soup 4

9. Simulation with Classes and Inheritance

10. Shell, Git, Conda, and More – at Your Command

11. Section 2: Hands-On with Data

12. Python for Data Applications

13. Data Cleaning and Manipulation

14. Data Exploration and Visualization

15. Training a Machine Learning Model

16. Improving Your Model – Pipelines and Experiments

17. Section 3: Moving to Production

18. Packaging and Testing with Poetry and PyTest

19. Data Pipelines with Luigi

20. Let's Build a Dashboard

21. Serving Models with a RESTful API

22. Serverless API Using Chalice

23. Best Practices and Python Performance

24. Assessments

25. Other Books You May Enjoy

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Section 3: Moving to Production

In this final part, we'll discuss how to prepare your code to be used in a production environment, as a package, as a scheduled process, or through an API. We will use the three projects to implement these different approaches.

This section comprises the following chapters:

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

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Authors (2)

Kats

Philipp Kats is a researcher at the Urban Complexity Lab, NYU CUSP, a research fellow at Kazan Federal University, and a data scientist at StreetEasy, with many years of experience in software development. His interests include data analysis, urban studies, data journalism, and visualization. Having a bachelor's degree in architectural design and a having followed the rocky path (at first) of being a self-taught developer, Philipp knows the pain points of learning programming and is eager to share his experience.

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Katz

Doron Katz, originally from Sydney, Australia, completed his bachelor's in internet science (the University of Wollongong), before pursuing a master's in management (Charles Sturt University), including a certification in Microsoft Solutions Development. On moving to San Francisco, Doron has worked with various companies, from start-ups to larger organizations, as a software engineer and project manager. Additionally, he is a regular contributor to various distinguished technical publications and has published numerous white papers and also coauthored Developing an iOS Edge.

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