Complete with step-by-step instructions, Learn Python by Building Data Science Applications contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. (Limited-time offer)
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 Model – Pipelines and Experiments
- Packaging and Testing with Poetry and PyTest
- Data Pipelines with Luigi
- Let’s Build a Dashboard
- Serving Models with a RESTful API
- Serverless API Using Chalice
- Best Practices and Python Performance
Download Free PDF / Read Online
Author(s): Philipp Kats , David Katz
Publisher: Packt Publishing
Published: August 2019
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of01/03/2021 09/12/2021.
Publisher: Packt Publishing
Published: August 2019
Format(s): Online
File size: –
Number of pages: 482
Download / View Link(s): This offer has ended.
Free as of