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)


As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

--zip argument 120

-k kaggle.json argument 120

-o quartet argument 120

API requests

making 129, 129

Agile Unified Process

phases 11

reference link 11

Agile approach 11

Anscombe’s Quartet

reference link 119

Background process 467

Beautiful Soup data structure 161, 162

Beautiful Soup package 117

C4 model

reference link 353, 85, 125

CLI application 367


reference link 255

CO2 PPM 285

Create, Retrieve, Update, and Delete (CRUD) operations 200

Denial-of-Service (DoS) attack 135

Directed Acyclic Graph (DAG) 378

Docker container 218

Docutils tool 556

Don’t Repeat Yourself (DRY) principle 251, 366

Feature Testing Language

reference link 17

Fisher-Pearson formula 562

Flask 489

HTML request

making, with urllib.request 159, 161

HTML scraping 161, 162

IEEE 1061 standard

software quality 9

ISO 25010 standard