Powerful Python Patterns And Strategies With Modern Python 1st Edition
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Powerful Python
Author: Aaron Maxwell
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2024-11-08
Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams—without getting distracted by info of little real-world use? This book answers these questions and more. Based on author Aaron Maxwell's software engineering career in Silicon Valley, this unique book focuses on the Python first principles that act to accelerate everything else: the 5% of programming knowledge that makes the remaining 95% fall like dominos. It's also this knowledge that helps you become an exceptional Python programmer, fast. Learn how to think like a Pythonista: explore advanced Pythonic thinking Create lists, dicts, and other data structures using a high-level, readable, and maintainable syntax Explore higher-order function abstractions that form the basis of Python libraries Examine Python's metaprogramming tool for priceless patterns of code reuse Master Python's error model and learn how to leverage it in your own code Learn the more potent and advanced tools of Python's object system Take a deep dive into Python's automated testing and TDD Learn how Python logging helps you troubleshoot and debug more quickly
Hands-On Design Patterns with Python
Author: Aditya Pratap Bhuyan
language: en
Publisher: Aditya Pratap Bhuyan
Release Date: 2025-03-07
Hands-On Design Patterns with Python is an essential guide for software developers and engineers seeking to master design patterns and enhance their Python programming skills. Whether you're a beginner or an experienced Python developer, this book provides you with the tools and practical knowledge to implement and apply design patterns effectively in your projects. Design patterns are proven solutions to common software design challenges. This book dives into the 23 classic design patterns, categorizing them into Creational, Structural, and Behavioral patterns, offering real-world Python code examples and hands-on guidance. Each pattern is explained with clarity, demonstrating its real-world application and helping you write more modular, scalable, and maintainable code. Key Features: Comprehensive Coverage of Design Patterns: From fundamental patterns like Singleton and Factory to advanced ones like Command and State, this book covers a wide range of design patterns with easy-to-follow Python implementations. Practical Code Examples: Every pattern is accompanied by detailed Python code, showing you how to implement and adapt the pattern to solve common software design problems. Real-World Use Cases: Learn how to apply design patterns to solve real-world challenges. Through hands-on projects and case studies, you’ll discover how these patterns fit into various Python applications, from simple scripts to complex systems. Modern Python Insights: The book not only explains design patterns but also integrates Python-specific features, such as decorators, context managers, and type hinting, to make the code cleaner and more Pythonic. Best Practices for Software Design: Beyond just patterns, this book emphasizes writing clean, maintainable code, refactoring legacy systems, and building scalable architectures using design patterns. Who This Book is For: Software Developers looking to deepen their understanding of design patterns and enhance their Python skills. Python Engineers who want to write more efficient, reusable, and maintainable code. Software Architects seeking a structured approach to designing scalable systems with Python. Agile Teams or Scrum Masters who want to integrate design patterns into their development process for better collaboration and system reliability. What You’ll Learn: Creational Patterns like Singleton and Factory Method that simplify object creation. Structural Patterns such as Adapter, Composite, and Decorator that optimize system organization. Behavioral Patterns like Observer and Strategy that manage object interaction. Advanced Patterns like Dependency Injection and Event-Driven Architecture for modern, scalable applications. This book goes beyond theory and empowers you to apply what you've learned in real projects, whether you're building a simple application or developing enterprise-level software. You'll gain the skills to design better systems that are flexible, maintainable, and ready to evolve with your business needs. Hands-On Design Patterns with Python is a practical guide that equips you with everything you need to write cleaner, more efficient, and future-proof software.
Building ETL Pipelines with Python
Author: Brij Kishore Pandey
language: en
Publisher: Packt Publishing Ltd
Release Date: 2023-09-29
Develop production-ready ETL pipelines by leveraging Python libraries and deploying them for suitable use cases Key Features Understand how to set up a Python virtual environment with PyCharm Learn functional and object-oriented approaches to create ETL pipelines Create robust CI/CD processes for ETL pipelines Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionModern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, applications, and open source components. With its simplicity and extensive library support, Python has emerged as the undisputed choice for data processing. In this book, you’ll walk through the end-to-end process of ETL data pipeline development, starting with an introduction to the fundamentals of data pipelines and establishing a Python development environment to create pipelines. Once you've explored the ETL pipeline design principles and ET development process, you'll be equipped to design custom ETL pipelines. Next, you'll get to grips with the steps in the ETL process, which involves extracting valuable data; performing transformations, through cleaning, manipulation, and ensuring data integrity; and ultimately loading the processed data into storage systems. You’ll also review several ETL modules in Python, comparing their pros and cons when building data pipelines and leveraging cloud tools, such as AWS, to create scalable data pipelines. Lastly, you’ll learn about the concept of test-driven development for ETL pipelines to ensure safe deployments. By the end of this book, you’ll have worked on several hands-on examples to create high-performance ETL pipelines to develop robust, scalable, and resilient environments using Python.What you will learn Explore the available libraries and tools to create ETL pipelines using Python Write clean and resilient ETL code in Python that can be extended and easily scaled Understand the best practices and design principles for creating ETL pipelines Orchestrate the ETL process and scale the ETL pipeline effectively Discover tools and services available in AWS for ETL pipelines Understand different testing strategies and implement them with the ETL process Who this book is for If you are a data engineer or software professional looking to create enterprise-level ETL pipelines using Python, this book is for you. Fundamental knowledge of Python is a prerequisite.