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

8.2 Approach

First, we’ll need some additional modules. The jsonschema module defines a validator that can be used to confirm a document matches the defined schema.

Additionally, the Pydantic module provides a way to create class definitions that can emit JSON Schema definitions, saving us from having to create the schema manually. In most cases, manual schema creation is not terribly difficult. For some cases, though, the schema and the validation rules might be challenging to write directly, and having Python class definitions available can simplify the process.

This needs to be added to the requirements-dev.txt file so other developers know to install it.

When using conda to manage virtual environments, the command might look like the following:

% conda install jsonschema pydantic

When using other tools to manage virtual environments, the command might look like the following:

% python -m pip install jupyterlab

The JSON Schema package requires some supplemental type stubs...