O'reilly
Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Pipelines
Open Sources. Voices From The Source Revolution
Learning Microsoft Power Bi: Transforming Data Into Insights
Learning JavaScript Design Patterns: A and React Developer's Guide
Practical Process Automation: Orchestration and Integration in Microservices Cloud Native Architectures
Fluent Python: Clear, Concise, and Effective Programming
Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Trustworthiness
Head First Programming: A Learner's Guide to Programming Using the Python Language
Learning Kali Linux: Security Testing, Penetration Testing & Ethical Hacking
Modern Concurrency in Java: A Deep Dive Into Virtual Threads, Structured Concurrency,...
Gdb Pocket Reference: Debugging Quickly & Painlessly with
Data Science for Business: What You Need to Know About Mining and Analytic Thinking
Cloud Architecture Patterns: Using Microsoft Azure
UX Skills for Business Strategy: Articulating Impact Product, User, and Outcomes
Terraform: Up and Running: Writing Infrastructure as Code
AI Value Creators: Beyond the Generative User Mindset
C# 12 in a Nutshell: The Definitive Reference
Data Science on AWS: Implementing End to End, Continuous AI and Machine Learning Pipelines
Graph Algorithms
Python for Excel: A Modern Environment Automation and Data Analysis
Javascript: the Definitive Guide: Master World's Most Used Programming Language
Building Microservices: Designing Fine Grained Systems
Python Pocket Reference: in Your
SQL Pocket Guide: A Guide to Usage
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