Kats / Katz Learn Python by Building Data Science Applications

A fun, project-based guide to learning Python 3 while building real-world apps
1. Auflage 2019
ISBN: 978-1-78953-306-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 482 Seiten

No detailed description available for "Learn Python by Building Data Science Applications".

Autoren/Hrsg.

Kats, Philipp

Katz, David

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Mathematik | Informatik EDV | Informatik Technische Informatik Hardware: Grundlagen und Allgemeines

Inhaltsverzeichnis

Table of Contents - Preparing the workspace
- First Steps in coding variables and data types
- Functions
- Data Structures
- Loops and other compound statements
- First script: Geocoding with Web APIs
- Scraping Data from the Web with Beautiful Soup 4
- Simulation with Classes and inheritance
- Shell, Git, Conda, and More at Your Command
- Python for Data Applications
- Data cleaning and manipulation
- Data Exploration and Visualization
- Training a Machine Learning model
- Improving your Models Metrics pipelines and experiments
- Packaging and testing with poetry and pytest
- Data Pipelines with Luigi
- Lets build a dashboard
- Serving models with Rest API
- Serverless API using Chalice
- Best practices and Python performance

Über Autor(innen)

Kats Philipp:

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.Katz David:

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.