Python Real-World Projects: Craft your Python portfolio with deployable applications

Develop Python applications using an enterprise-based approach with unit and acceptance tests by following agile methods to create a minimum viable product (MVP) and iteratively add features

Key Features
Master Python and related technologies by working on 12 hands-on projects
Accelerate your career by building a personal project portfolio
Explore data acquisition, preparation, and analysis applications
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
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.

What you will learn
Explore core deliverables for an application including documentation and test cases
Discover approaches to data acquisition such as file processing, RESTful APIs, and SQL queries
Create a data inspection notebook to establish properties of source data
Write applications to validate, clean, convert, and normalize source data
Use foundational graphical analysis techniques to visualize data
Build basic univariate and multivariate statistical analysis tools
Create reports from raw data using JupyterLab publication tools
Who this book is for
This book is for beginner-to-intermediate level Python programmers looking to enhance their resume by adding a portfolio of 12 practical projects. A basic understanding of the Python language and its aligned technologies is a must. The book helps you polish your Python skills and project-building prowess without delving into basic Python fundamentals.

Table of Contents
Project Zero — Template for other projects
Overview of the Projects – Extract, Transform, and Load
Project 1.1 — Data Acquisition Base Application
Data Acquisition Features — Web API and Scraping
Data Acquisition Features — SQL Database
Project 2.1 — Data Inspection Notebook
Data Inspection Features
Schema and Metadata
Project 3.1 — Data Cleaning Base Application
Data Cleaning Features
Project 3.7 — Interim Data Persistence
Project 3.8 — Integrated Data Acquisition Web Service
Project 4.1 — Visual Analysis Techniques
Project 4.2 — Creating Reports
Project 5.1 — Modeling Base Application
Project 5.2 — Central Tendency
Project 5.3 — Simple Multivariate Statistics