Python Real-World Projects: Craft your Python portfolio with deployable applications, (Paperback)

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 bo