Category: Software Development

Building Full Stack DeFi Applications 0

Building Full Stack DeFi Applications

eBook Details: Paperback: 490 pages Publisher: WOW! eBook (March 29, 2024) Language: English ISBN-10: 1837634114 ISBN-13: 978-1837634118 eBook Description: Building Full Stack DeFi Applications: Take your blockchain and Web3 development skills to the next level by building real-world full-stack DeFi applications with Solidity and JavaScript Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are...

AWS Certified Solutions Architect – Professional Exam Guide (SAP-C02) 0

AWS Certified Solutions Architect – Professional Exam Guide (SAP-C02)

eBook Details: Paperback: 428 pages Publisher: WOW! eBook (March 1, 2024) Language: English ISBN-10: 1801813132 ISBN-13: 978-1801813136 eBook Description: AWS Certified Solutions Architect – Professional Exam Guide (SAP-C02): Gain the practical skills, knowledge, and confidence to ace the AWS (SAP-C02) exam on your first attempt. Become an AWS Solutions Architect Professional with this latest AWS (SAP-C02) exam guide. Known for its difficulty and ranking among the highest-paying IT certifications, the AWS Certified Solutions Architect Professional (SAP-C02) certification demands significant hands-on experience for success. This comprehensive AWS Certified Solutions Architect – Professional Exam Guide (SAP-C02) reinforces your knowledge and enhances your skills in...

The Machine Learning Solutions Architect Handbook, Second Edition 0

The Machine Learning Solutions Architect Handbook, Second Edition

eBook Details: Paperback: 602 pages Publisher: WOW! eBook (April 15, 2024) Language: English ISBN-10: 1805122509 ISBN-13: 978-1805122500 eBook Description: The Machine Learning Solutions Architect Handbook, 2nd Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI. Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS. David Ping, Head of GenAI and ML Solution Architecture at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You’ll learn about ML algorithms, cloud infrastructure, system design, MLOps,...

DevOps Unleashed with Git and GitHub 0

DevOps Unleashed with Git and GitHub

eBook Details: Paperback: 284 pages Publisher: WOW! eBook (April 19, 2024) Language: English ISBN-10: 1835463711 ISBN-13: 978-1835463710 eBook Description: DevOps Unleashed with Git and GitHub: Automate, collaborate, and innovate to enhance your DevOps workflow and development experience. Unlock the full potential of your team with Git mastery, seamless DevOps workflows, and the power of AI integration. Git and GitHub are absolutely crucial for DevOps, playing a multifaceted role in streamlining the software development lifecycle and enabling smoother collaboration between development and operations teams. DevOps Unleashed with Git and GitHub enables you to harness the power of Git and GitHub to streamline workflows,...

Software Engineering for Data Scientists 0

Software Engineering for Data Scientists

eBook Details: Paperback: 400 pages Publisher: WOW! eBook (May 28, 2024) Language: English ISBN-10: 1098136209 ISBN-13: 978-1098136208 eBook Description: Software Engineering for Data Scientists: From Notebooks to Scalable Systems Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this Software Engineering for Data Scientists guide covers the essential topics that are often missing from introductory data science or coding classes, including how to: Understand data structures and object-oriented programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger code...