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

Steven F. Lott

 
9781803246765: Python Real-World Projects: Craft your Python portfolio with deployable applications

Synopsis

Develop Python applications using an enterprise approach with unit and acceptance tests, following agile methodologies to create a minimally viable product and iteratively adding features.

Key Features

  • Build two dozen projects to demonstrate mastery of Python and related technologies
  • Build a personal project portfolio that can be an important adjunct to a resume or CV
  • Learn about data acquisition, preparation, and analysis applications

Book Description

In today's job market, a project portfolio often outshines a traditional resume for developers. This guide empowers you to grasp crucial Python concepts while building complete modules and applications that resonate in real-world scenarios. With two dozen meticulously designed projects, showcase your Python mastery and refine your skills further.

Tailored for those with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. Harness both the standard library and key external projects like Jupyter Lab, pydantic, pytest, and requests. Embrace an enterprise-oriented methodology, including unit and acceptance testing, and an agile development approach. Dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features.

Whether you're a developer with a working knowledge of Python programming, looking for projects to demonstrate their skills or a developer who want more background in building complete applications that include comprehensive test cases and documentation. his book's practical approach empowers you to craft deployable projects that exhibit your Python proficiency, paving the way for a successful career.

What you will learn

  • Core deliverables for an application including documentation and test cases
  • Some approaches to data acquisition including file processing, RESTful APIs, and SQL queries
  • Creating a data inspection notebook to establish properties of source data
  • Writing applications to validate, clean, convert, and normalize source data
  • Use some foundational graphical analysis techniques to visualize data
  • Build basic univariate and multivariate statistical analysis tools
  • Create reports from raw data using Jupyter Lab publication tools

Who This Book Is For

Beginner to Intermediate level Python Programmers. It is an outright projects book and it assumes the reader to understand basic programming concepts which they have studied during the college times and basic Python understanding like Syntax and writing simple programs. Rest of the book can be interactive project. People knowing programing and seeking jobs can be an ideal readers of the book.

Table of Contents

  1. Project Zero ― Template for other projects
  2. Overview of the Projects – Extract, Transform, and Load
  3. Project 1.1 ― Data Acquisition Base Application
  4. Data Acquisition Features ― Web API and Scraping
  5. Data Acquisition Features ― SQL Database
  6. Project 2.1 ― Data Inspection Notebook
  7. Data Inspection Features
  8. Schema and Metadata
  9. Project 3.1 ― Data Cleaning Base Application
  10. Data Cleaning Features
  11. Project 3.7 ― Interim Data Persistence
  12. Project 3.8 ― Integrated Data Acquisition Web Service
  13. Project 4.1 ― Visual Analysis Techniques
  14. Project 4.2 ― Creating Reports
  15. Project 5.1 ― Modeling Base Application
  16. Project 5.2 ― Central Tendency
  17. Project 5.3 ― Simple Multivariate Statistics

"synopsis" may belong to another edition of this title.

About the Author

Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words "Don't come home until you have a story."

From the Back Cover

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.

"About this title" may belong to another edition of this title.