Bücher von Steven F. Lott

Being familiar with object-oriented design is an essential part of programming in Python. This new edition includes all the topics that made Python Object-Oriented Programming an instant Packt classic. Moreover, it's packed with updated content to reflect more recent changes in the core Python libraries and cover modern third-party packages.

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.

"Using this book has propelled my efficiency in solving leetcode challenges." - Discord user, zizuPython isn't all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach - and learn when you need to use it. Now with detailed exercises at the end of every chapter!Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features:Learn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsCover examples relevant to mathematical, statistical, and data analysis domainsBook Description:Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you're a leetcoder preparing for coding interviews, this book is for you.Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though - you'll also see how Python's native object orientation is used in conjunction with functional programming techniques.By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.What You Will Learn:Use Python's libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulationsWho this book is for:The functional paradigm is very useful for programmers working in data science or preparing for technical interviews, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book.No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.

Mastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.

Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. This practical guide demonstrates the Python implementation of a number of functional programming techniques and design patterns. Through this book, you'll understand what functional programming is all about, its impact on ...

The Modern Python Cookbook is a definitive guide to learning Python in a hands-on way. Starting with Python's syntax and data structures, the cookbook gradually takes you through the advanced concepts that'll help you to create and test powerful applications with ease.