Book Image

Python Real-World Projects

By : Steven F. Lott
5 (1)
Book Image

Python Real-World Projects

5 (1)
By: Steven F. Lott

Overview of this book

In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills. Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You’ll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You’ll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you’ll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. By the end of this book, you’ll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.
Table of Contents (20 chapters)
19
Index

2.7 Data contracts

We will touch on data contracts at various stages in this pipeline. This application’s data acquisition, for example, may have a formalized contract with a data provider. It’s also possible that an informal data contract, in the form of a schema definition, or an API is all that’s available.

In Chapter 8, Project 2.5: Schema and Metadata we’ll consider some schema publication concerns. In Chapter 11, Project 3.7: Interim Data Persistence we’ll consider the schema provided to downstream applications. These two topics are related to a formal data contract, but this book won’t delve deeply into data contracts, how they’re created, or how they might be used.