Python Real-World Projects: Craft your Python portfolio with deployable applications
Synopsis "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 featuresKey Features: Master Python and related technologies by working on 12 hands-on projectsAccelerate your career by building a personal project portfolioExplore data acquisition, preparation, and analysis applicationsPurchase of the print or Kindle book includes a free PDF eBookBook 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 casesDiscover approaches to data acquisition such as file processing, RESTful APIs, and SQL queriesCreate a data inspection notebook to establish properties of source dataWrite applications to validate, clean, convert, and normalize source dataUse foundational graphical analysis techniques to visualize dataBuild basic univariate and multivariate statistical analysis toolsCreate reports from raw data using JupyterLab publication toolsWho 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.
