Production Ready Data Science
DOWNLOAD
Download Production Ready Data Science PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Production Ready Data Science book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Production Ready Data Science
DOWNLOAD
Author : Khuyen Tran
language : en
Publisher:
Release Date : 2025-07-15
Production Ready Data Science written by Khuyen Tran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Computers categories.
Production-Ready Data Science is a practical guide to building reliable, maintainable, and scalable data science projects from start to finish. Written for professionals who want to move beyond experiments and deliver real-world solutions, this book covers the essential skills and workflows for taking code from notebook to production. You'll learn how to: Organize messy notebooks into maintainable, modular code. Create reproducible environments and streamline deployments. Apply best practices for variables, functions, and classes. Implement automated testing, configuration management, and logging. Validate and version your datasets for accuracy and traceability. Automate deployment with continuous integration and package distribution. Through step-by-step examples, you'll master Python tools using like Git, uv, Pytest, Hydra, Loguru, Pandera, DVC, GitHub Actions, and marimo to ensure your projects are reproducible, testable, and production-ready. Whether you're a data scientist, machine learning engineer, or software developer, this book equips you with the skills to deliver bulletproof systems that scale.
Production Ready Data Science From Prototyping To Production With Python
DOWNLOAD
Author : Khuyen Tran
language : en
Publisher: Codecut Technologies LLC
Release Date : 2025-07-16
Production Ready Data Science From Prototyping To Production With Python written by Khuyen Tran and has been published by Codecut Technologies LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Computers categories.
Are you a data scientist or analyst struggling to take your Jupyter Notebook prototypes to the next level? Have you encountered challenges with code organization, reproducibility, or collaboration as your data science projects grow in complexity? This book is the solution you’ve been seeking. This comprehensive guide bridges the gap between data analysis and software engineering, providing you with the essential tools and best practices to transform your data science projects into scalable, maintainable, and collaborative solutions. Through practical examples and clear explanations, you’ll master techniques for: ▪️ Transform messy notebooks into organized, maintainable code ▪️ Create reproducible environments across teams and deployments ▪️ Write modular, reusable, and testable Python code ▪️ Implement robust data validation and error handling ▪️ Leverage version control for code and data integrity ▪️ Implement automated testing to catch bugs early ▪️ And much more! Whether you’re a data scientist seeking to elevate your projects, a machine learning engineer building production-grade models, or a developer venturing into data-driven applications, this book is your comprehensive guide to engineering high-quality, reliable data science solutions.
Effective Data Science Infrastructure
DOWNLOAD
Author : Ville Tuulos
language : en
Publisher: Simon and Schuster
Release Date : 2022-08-16
Effective Data Science Infrastructure written by Ville Tuulos and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Computers categories.
Effective Data Science Infrastructure teaches you to build data pipelines and project workflows that will supercharge data scientists and their projects. Based on state-of-the-art tools and concepts that power data operations of Netflix, this book introduces a customizable cloud-based approach to model development and MLOps that you can easily adapt to your company's specific needs. As you roll out these practical processes, your teams will produce better and faster results when applying data science and machine learning to a wide array of business problems.
Managing Data Science
DOWNLOAD
Author : Kirill Dubovikov
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-12
Managing Data Science written by Kirill Dubovikov and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Computers categories.
Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key FeaturesLearn the basics of data science and explore its possibilities and limitationsManage data science projects and assemble teams effectively even in the most challenging situationsUnderstand management principles and approaches for data science projects to streamline the innovation processBook Description Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis. What you will learnUnderstand the underlying problems of building a strong data science pipelineExplore the different tools for building and deploying data science solutionsHire, grow, and sustain a data science teamManage data science projects through all stages, from prototype to productionLearn how to use ModelOps to improve your data science pipelinesGet up to speed with the model testing techniques used in both development and production stagesWho this book is for This book is for data scientists, analysts, and program managers who want to use data science for business productivity by incorporating data science workflows efficiently. Some understanding of basic data science concepts will be useful to get the most out of this book.
Fundamentals Of Data Engineering
DOWNLOAD
Author : Joe Reis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-22
Fundamentals Of Data Engineering written by Joe Reis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Computers categories.
"Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle." - from Publisher.
Data Science The Hard Parts
DOWNLOAD
Author : Daniel Vaughan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11
Data Science The Hard Parts written by Daniel Vaughan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11 with Computers categories.
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, you will: Understand how data science creates value Deliver compelling narratives to sell your data science project Build a business case using unit economics principles Create new features for a ML model using storytelling Learn how to decompose KPIs Perform growth decompositions to find root causes for changes in a metric Daniel Vaughan is head of data at Clip, the leading paytech company in Mexico. He's the author of Analytical Skills for AI and Data Science (O'Reilly).
Maintenance Engineering Handbook Ninth Edition
DOWNLOAD
Author : Keith Mobley
language : en
Publisher: McGraw Hill Professional
Release Date : 2025-08-22
Maintenance Engineering Handbook Ninth Edition written by Keith Mobley and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Technology & Engineering categories.
The most complete and current guide to every aspect of maintenance engineering—updated to reflect the latest advances in the industry The most comprehensive resource of its kind, Maintenance Engineering Handbook has long been a staple for engineers, managers, and technicians seeking current advice on everything from tools and techniques to planning and scheduling. Since the last edition was published, there have been exponential technology advancements that directly affect maintenance and maintenance engineering function. Recent changes in technology, especially those of predictive analytics, wireless-cloud-base data acquisition, and smart sensors have radically changed the landscape of both engineering and maintenance management. This updated edition integrates these advances into a comprehensive approach to maintenance management with proven best practices for maintenance, repair, and overhaul (MRO), inventory management, root-cause analysis, and performance management. Featuring contributions from noted experts in the field, Maintenance Engineering Handbook, Ninth Edition will help engineers reduce excessive downtime and high maintenance costs by detecting and mitigating repetitive failures.
Data Science And Big Data Analytics
DOWNLOAD
Author : EMC Education Services
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Data Science And Big Data Analytics written by EMC Education Services and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Computers categories.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
International Journal Of Computer Systems Science Engineering
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2005
International Journal Of Computer Systems Science Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computer engineering categories.
Highlights Of Astronomy
DOWNLOAD
Author : International Astronomical Union
language : en
Publisher:
Release Date : 2006
Highlights Of Astronomy written by International Astronomical Union and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Astronomy categories.
Vol. 1- contain papers, etc., from 13th- General Assembly.