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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 FREE CHAPTER

2. Preparing the Workspace

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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Technical requirements

In this chapter, we'll make use of three additional visualization libraries: geopandas, altair, and datashader. All of them can be installed via Anaconda or PIP and are included in our environment.yaml file. As always, if you followed the instructions in Chapter 1, Preparing the Workspace, you're all set. If not, you can install them using conda.

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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

David Katz is a researcher and holds a Ph.D. in mathematics. As a mathematician at heart, he sees code as a tool to express his questions. David believes that code literacy is essential as it applies to most disciplines and professions. David is passionate about sharing his knowledge and has 6 years of experience teaching college and high school students.

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