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  • Learn Python Data Structures & Algorithms Visually - Volume 4 : Data Structures & Algorithms for AI-Era Interviews - Flannan P. Brody
    Learn Python Data Structures & Algorithms Visually - Volume 4
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  • Stacks, Queues, Hash Tables & Heaps - C++ Edition : Data Structures & Algorithms for AI-Era Interviews - Flannan P. Brody
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  • Learn C# Data Structures & Algorithms Visually - Volume 1 : Data Structures & Algorithms for AI-Era Interviews - Flannan P. Brody
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    Flannan P. Brody
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  • Code in Python, Think in AI : A Complete Roadmap From Python Programming to Machine Learning and Artificial Intelligence - Kripa Shankar Sharma
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  • Interface Design Patterns : Creating Idiomatic APIs and Libraries for the Rust Ecosystem - Jasper Holt
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  • Transformation Enterprise Architecture with Agentic AI : Designing Intelligent, Adaptive, and Self-Governing Systems - Shivakumar R. Goniwada
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  • Modern Infrastructure Automation : Building Production-Ready Pipelines with Bash, Ansible and Python - Neville Asiago Ondara
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  • The Django Admin Handbook : The Ultimate Guide to Building Your Back Office in Hours, Not Days - Christophe Surbier
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  • IoT Security with Rust : Secure Boot, Cryptography, and Network Protocols for IoT in Rust - Sam Colewell
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  • Software Engineering of Emerging Technologies : Second International Conference on Software Engineering of Emerging Technologies, SEET 2026, Behrend, PA, USA, August 10-11, 2026, Proceedings, Part I - Shahid Hussain
    Software Engineering of Emerging Technologies
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    Shahid Hussain, Muhammad Abdul Basit Ur Rahim, Arif Ali Khan, Saif Ur Rehman Khan and Mansoor Ahmad
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  • Intermediate Programming Patterns : Designing Maintainable and Extensible Software - Gabriel Jones
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  • Practical Python for Network Operations : Hands-on Automate, Administer and Validate Enterprise Networks using Python 3.14, NETCONF, Ansible, Nornir, gNMI and CI Pipelines - Odette Windsor
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  • Safe Data Structures : Implementing Efficient Algorithms and Memory Layouts with Rust - Jasper Holt
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  • Mastering LangChain and LangGraph : Build RAG and Agentic AI Applications with LLMs, MCP, and LangChain Agents - Ankur Kulshreshtha
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  • Software Engineering of Emerging Technologies : Second International Conference on Software Engineering of Emerging Technologies, SEET 2026, Behrend, PA, USA, August 10-11, 2026, Proceedings, Part II - Shahid Hussain
    Software Engineering of Emerging Technologies
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    Shahid Hussain, Muhammad Abdul Basit Ur Rahim, Arif Ali Khan, Saif Ur Rehman Khan and Mansoor Ahmad
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    Danny Yang
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  • Trading Treasury Futures : A Python Framework for Basis Analysis and Delivery Modeling - Felix J. Warwick
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    Felix J. Warwick
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  • The Self-Taught Path to AI Engineering : A Beginner's Guide to Learning the Code, Tools, and Skills to Build Real AI-Powered Applications - Michael Miller
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    Michael Miller
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  • Quantum Computing Impact : Impact Unleashing the Power of Data for the Future - Chuck Sherman
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    Chuck Sherman
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  • Design Patterns in Unity 6 : Build Scalable and Maintainable Games with C# - Zenva Academy
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    Zenva Academy
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    gale
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  • Python AI Programming, Second Edition : Kickstart developing AI-ready apps with RAG, DSPy, MCP, agents, evals, observability and open-source models - Patrick J
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    Patrick J
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  • Python for Data Analysis : Unlocking the Potential of Data Through Python - Brian Paul
    Python for Data Analysis
    Unlocking the Potential of Data Through Python
    Brian Paul
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  • Mastering Swift : An Introduction to Swift Scripting and Programming for Apple Admins - Charles Edge
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    Charles Edge, Joel Rennich and Jeremy Bannister
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  • Ollama in Action : Build Fully Private, Multimodal Al Apps - Zenva Academy
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    Zenva Academy
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  • Unity 6 ECS Fundamentals : Learn Data-Oriented Game Development with ECS - Zenva Academy
    Unity 6 ECS Fundamentals
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    Zenva Academy
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  • Machine Learning Pipelines : A Comprehensive Guide to Building and Deploying Intelligent Systems - Chuck Sherman
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    Chuck Sherman
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  • Mastering Data-Intensive Applications : Building for Scale, Speed, and Resilience - Chuck Sherman
    Mastering Data-Intensive Applications
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    Chuck Sherman
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  • Machine Learning : Unraveling the Algorithms of Intelligence - Chuck Sherman
    Machine Learning
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    Chuck Sherman
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  • Python For Everyone : A Comprehensive Guide from Beginner to Advanced Programming - Williams Asiedu
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    Williams Asiedu
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  • Neural Networks for Beginners : A Beginner's Guide to Understanding and Implementing AI's Most Versatile Tool - Daniel Garfield
    Neural Networks for Beginners
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    Daniel Garfield
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  • Building Modern Data Applications with MongoDB and .NET : Design smarter, scalable data systems with search and vector workflows using C# and .NET - Luce Carter
    Building Modern Data Applications with MongoDB and .NET
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    Luce Carter
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  • Artificial Intelligence : Notes with Python applications - Rahul Basu
    Artificial Intelligence
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  • Asynchronous Programming Patterns : Mastering Futures, Tasks, and Non-Blocking I/O in Rust - Jasper Holt
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    Jasper Holt
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  • Coding with Intelligence : AI-Augmented Software Development for the Modern Engineer - Sam Miley
    Coding with Intelligence
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    Sam Miley
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  • Software Testing Strategies : Unit Testing, Integration Testing, and CI/CD Pipelines for Rust Projects - Jasper Holt
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  • Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science - Soly Mathew Biju
    Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
    Soly Mathew Biju, Ashutosh Mishra and Manoj Kumar
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  • Empowering Low-Resource Languages With NLP Solutions - Partha Pakray
    Empowering Low-Resource Languages With NLP Solutions
    Partha Pakray, Pankaj Dadure and Sivaji Bandyopadhyay
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  • Recursion : Mathematics and Python - Yung-Hsiang Lu
    Recursion
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    Yung-Hsiang Lu and George K. Thiruvathukal
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  • Deep Learning with Python for Beginners : Comprehensive Guide to Mastering Neural Networks - Brandon Scott
    Deep Learning with Python for Beginners
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  • Python Computer Programming : Simple Step-By-Step Introduction to the Python Object-Oriented Programming. Quick Start Guide for Beginners - Alex Campbell
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  • Quantum Computing : An Introduction to the Science and Technology of the Future - Brian Murray
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  • Fundamentals of Data Engineering : Building Robust Data Systems for Modern Analytics and Insights - Daniel Garfield
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  • Deep Learning with Python : A Comprehensive guide to Building and Training Deep Neural Networks using Python and popular Deep Learning Frameworks - Brian Murray
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  • Language Variation and Change : Unlocking the Power of R and Python - Bin Shao
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  • Python for Asset Management : Chapman and Hall/CRC Financial Mathematics Series - Ignacio Cervera
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