Code to Cloud: Integrated Data Science with Python, SQL, DevOps, and Cloud

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Language

English

Genre

Textbook

Published

June 18, 2025

Synopsis

In "Code to Cloud: Integrated Data Science with Python, SQL, DevOps, and Cloud," author Vikram Singh Sankhala presents a comprehensive guide for navigating the modern data landscape. Recognizing the industry's need for professionals who can not only analyze data but also build, deploy, and manage solutions, this book bridges the gap between foundational data science skills and the critical aspects of DevOps and cloud computing. It starts with a solid grounding in Python programming for data science, covering syntax, data structures, essential libraries like NumPy and Pandas, and data preprocessing techniques. Following this, readers will master SQL fundamentals and advanced concepts, understanding how to effectively query, manage, and integrate data within a relational context, including Python integration for ETL pipelines. Building upon these foundations, the book delves into core data science principles, including statistics, probability, exploratory data analysis, and machine learning basics using scikit-learn. The true power of the book lies in its focus on integration and real-world application. Readers will learn to build data pipelines, automate workflows with tools like Airflow, and tackle real-world projects. Crucially, the book dedicates significant sections to DevOps principles (CI/CD, Git, testing, containerization, IaC) and applying these concepts within a cloud environment (AWS, Azure, GCP), covering compute, storage, data science services, collaboration tools, security, and MLOps/DataOps best practices. Packed with hands-on exercises, case studies, and code snippets, this book is designed to equip beginners and aspiring professionals with the integrated, industry-aligned skills needed for Data-Driven Excellence, enabling them to move their projects seamlessly from code to cloud.

About the Author

VSS

Vikram Singh Sankhala

Vikram Singh Sankhala brings a unique analytical perspective to Vedic astrology. His expertise in multi-modal AI, agentic systems, and data-driven solutions allows him to decode ancient astrological principles through modern scientific frameworks. Sankhala's innovative approach combines traditional Vedic wisdom with contemporary visualization techniques, making complex astrological concepts accessible to modern practitioners. His passion lies in bridging ancient knowledge systems with cutting-edge technology to create practical, evidence-based guidance for personal and professional growth. "Vedic astrology is humanity's oldest data science – my mission is to help you unlock its timeless insights using today's analytical tools."

Code to Cloud: Integrated Data Science with Python, SQL, DevOps, and Cloud

Synopsis

About the Author

Vikram Singh Sankhala

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