Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack

Book Synopsis: Book Description:In ‘Data Engineering with Python Cookbook,’ we embark on a comprehensive journey through the world of data engineering. Starting with the fundamentals of Python programming, we delve into essential data warehousing concepts and gradually introduce advanced topics such as lazy evaluation, functional programming, and data serialization, Cloud integration using python, various algorithms, all complemented by real-world case studies.

The goal of this book: Data engineering is a broad and multifaceted field that demands a blend of software engineering expertise and a deep understanding of data warehousing concepts. In the contemporary landscape of data engineering, proficiency in modern tools and APIs is equally vital. Our aim is to empower you with the knowledge and practical insights to excel in this ever-evolving field.

Key Features:Python application for Cloud and Data Warehousing: Along with learning Python programming language you will be able to apply your knowledge on modern tools and techniques along with learning the key algorithms.

Learn Production Standards: Embrace best practices in Python coding for data engineering projects and Production level code standards, covering critical aspects like Python dependency management and robust error handling techniques.

80+ Code Samples: Theoretical knowledge is essential, but we believe in learning by doing. That's why we've included 50+ coding exercises, 30+ Coding examples, complete with step-by-step solutions and explanation, so that you can test and enhance your skills.

Basic to Advanced concepts: Advanced programming techniques of Python to develop Lazily and Higher Order Functions. Discover how to build and optimize data pipelines for efficient data processing using Modular and Object Oriented Programming.

Modern Data Stack application: Dive into working with databases, web APIs, and cloud services. You'll master data manipulation, excel in web scraping, sharpen your data processing skills, and become adept at working with APIs.

Learn about Code and Data Quality: With introduction to Unit Testing. Code Quality tools and Data Quality you tools you will be able to master the Data Engineering and quality.

Advanced tools discussion: Like DBT, Docker & CI/CD techniques

Who this book is for: Whether you're a seasoned data engineer seeking to refine your skills or just starting your journey with Python, this book is meticulously crafted to equip you with the fundamental programming knowledge, engineering principles, and advanced techniques required to thrive in the dynamic realm of data engineering. 'Data Engineering with Python Cookbook' equips you with the tools and knowledge to thrive in the Modern Cloud and data-driven world.

How This Book Is Organized:Chapter 1-3: Getting Started with Python - Covers the basics of Python, including data types, variables, and control flow.

Coding Exercises: Coding exercises with solutions.

Chapter 5-7: Functions and Modular Programming - Explores the concepts of functions and modular programming, Data Warehousing concepts, Working with Databases using Python.

Coding Exercises: Coding exercises with solutions.

Chapter 9-11: Introducing Big data, ETL, Cloud, Data Manipulation along with Advanced programming techniques of Python to develop Lazily and Higher Order Functions.

Coding Exercises: Coding exercises with solutions.

Chapter 13-14: Guides you through web scraping, data processing, and working with APIs using Data Serialization techniques.

Chapter 15 and 16: Algorithms, Efficiency, Best Practices in Python for Production, Python Dependency management Future Trends, and further topics to explore

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