Most Read This Week In Technical


Most Read This Week Tagged "Technical"

Continuous Discovery Habits: Discover Products that Create Customer Value and Business Value
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
Why Machines Learn: The Elegant Math Behind Modern AI
Quantum Supremacy
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Fancy Bear Goes Phishing: The Dark History of the Information Age, in Five Extraordinary Hacks
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
The Software Engineer's Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups
Engineering Management for the Rest of Us
Building Evolutionary Architectures: Support Constant Change
The Engineering Executive's Primer: Impactful Technical Leadership
Crafting Interpreters
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Living in Data: A Citizen's Guide to a Better Information Future
The Professional Agile Leader: The Leader's Journey Toward Growing Mature Agile Teams and Organizations (The Professional Scrum Series)
Data Mesh: Delivering Data-Driven Value at Scale
Clean Craftsmanship: Disciplines, Standards, and Ethics
Ethical Hacking: A Hands-on Introduction to Breaking In
Continuous Delivery Pipelines - How to Build Better Software Faster
Efficient Linux at the Command Line
Open Circuits: The Inner Beauty of Electronic Components (Packaging may vary)
Software Architecture in Practice
Rust for Rustaceans
Software Architecture Metrics
50 Years of Text Games: From Oregon Trail to A.I. Dungeon
Learning Modern Linux: A Handbook for the Cloud Native Practitioner
Androids: The Team That Built the Android Operating System
Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps.
Data Quality Fundamentals
Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Prem Jagyasi
The greatest innovators aren’t those who possessed great technical knowledge; they are visionaries who can see life from multiple aspects.
Dr Prem Jagyasi

... theory is good for you because studying it expands your mind... Specific technical knowledge, though useful today, becomes outdated in just a few years. Consider instead the abilities to think, to express yourself clearly and precisely, to solve problems, and to know when you haven’t solved a problem. These abilities have lasting value. Studying theory trains you in these areas.
Michael Sipser, Introduction to the Theory of Computation

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SCUBA Diving Readers Club A group for SCUBA divers that like to read, or readers that are interested in SCUBA diving. Disc…more
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To serve as a medium through which ITGers share their mutual enthusiasm for books.
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