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  • Spring Boot 3 Recipes : A Problem-Solution Approach for Java Microservices and Cloud-Native Applications - Marten Deinum
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  • Graph Algorithms the Fun Way : Powerful Algorithms Decoded, Not Oversimplified - Jeremy Kubica
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  • Mastering Go : Leverage Go's expertise for advanced utilities, empowering you to develop professional software - Mihalis Tsoukalos
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  • Mastering Time Series Analysis and Forecasting with Python : Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python - Sulekha Aloorravi
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  • A Simple Introduction to Python : Chapman & Hall/CRC The Python Series - Stephen Lynch
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  • Django 5 By Example : Build powerful and reliable Python web applications from scratch - Antonio Melé
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  • Ultimate Python Libraries for Data Analysis and Visualization : Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis - Abhinaba Banerjee
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  • Modern C++ Programming : Including the recent standards C++11, C++17, C++20, C++23 - Orhan Gazi
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  • Delphi Pascal Programming : Efficient Code Editing, Visual Designing, And Integrated Debugging - Rob Botwright
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  • Murach's Python for Data Science (2nd Edition) - Scott McCoy
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  • Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process - Maicon Melo Alves
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  • System Programming Essentials with Go : System calls, networking, efficiency, and security practices with practical projects in Golang - Alex Rios
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    Julie Anderson and Jon Anderson
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  • Graph Data Science with Python and Neo4j : Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies - Timothy Eastridge
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  • Mastering JavaScript : Your Ultimate Guide: A Comprehensive Handbook to Becoming a JavaScript Master : A Comprehensive Handbook to Becoming a Javascript Master - Francis Mukobi
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    Vasilis Pagonis and Christopher Wayne Kulp
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    Anand Kumar
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  • Python Advanced Programming : The Guide to Learn Python Programming. Reference with Exercises and Samples About Dynamical Programming, Multithreading, Multiprocessing, Debugging, Testing and More - Marcus Richards
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    Marcus Richards
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