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  • AWS : The Dependable Beginners Guide to Amazon Web Services (Learn in 2 Hours) - Donald Stan
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  • Blender 3D By Example : A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil, 2nd Edition - Xury Greer Oscar Baechler
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  • Programming, Simulating and Visualizing Human Machine Interface (HMI) and Programmable Logic Controller (PLC) In Your Laptop : A No Bs, No Fluff, HMI-PLC Programming & Simulation - Michael Blake
    Programming, Simulating and Visualizing Human Machine Interface (HMI) and Programmable Logic Controller (PLC) In Your Laptop
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    Michael Blake and Farouk Idris
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  • Designing Microservices Using Django : Structuring, Deploying and Managing the Microservices Architecture with Django - Shayank Jain
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  • Nios4 FIRST STEPS - Gessica Monteforte
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  • Start Programming, Simulating HMI and PLC in Your Laptop: A No Bs, No Fluff, HMI and PLC Programming & Simulating Volume 2 : Volume, #2 - Michael Blake
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    Michael Blake and Farouk Idris
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  • Data Science and Machine Learning Interview Questions Using Python : A Complete Question Bank to Crack Your Interview - Vishwanathan Narayanan
    Data Science and Machine Learning Interview Questions Using Python
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  • Oracle Blockchain Quick Start Guide : A practical approach to implementing blockchain in your enterprise - Vivek Acharya
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  • Mastering Hadoop 3 : Big data processing at scale to unlock unique business insights - Manish Kumar Chanchal Singh
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  • DAX Patterns : Second Edition - Marco Russo
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  • Hands-On Simulation Modeling with Python : Develop simulation models to get accurate results and enhance decision-making processes - Giuseppe Ciaburro
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  • Azure Databricks Cookbook : Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service - Phani Raj
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  • Become a Python Data Analyst : Perform exploratory data analysis and gain insight into scientific computing using Python - Alvaro Fuentes
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  • Python Machine Learning : A Practical Beginner's Guide to Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit-Learn, Tensorflow and Keras - Railey Brandon
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    Bulcsú Fajszi, László Cser and Tamás Fehér
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  • Getting Started with Tableau 2019.2 : Effective data visualization and business intelligence with the new features of Tableau 2019.2, 2nd Edition - Tristan Guillevin
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  • Multifractal Analysis in Hydrology : Application to Time Series - Pietro Bernardara
    Multifractal Analysis in Hydrology
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    Pietro Bernardara, Michel Lang, Eric Sauquet, Daniel Schertzer and Ioulia Tchiriguyskaia
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  • Deep Learning with R for Beginners : Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet - Mark Hodnett
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  • Chatgpt | Generative AI - The Step-By-Step Guide For OpenAI & Azure OpenAI In 36 Hrs. : LEARN CHATGPT | GENERATIVE AI | PROMOT ENGINEERING | TEXT GENERATION | EMBEDDDING | CODEX | COMPLETIONS | FINE TUNING | HALUCINATION | PLAYGROUND | FILTERING | INSTALLATION | USE CASES - AJIT DASH
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  • Building Neo4j-Powered Applications with LLMs : Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI - Ravindranatha Anthapu
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  • 3D Printing for Model Engineers : A Practical Guide - Neil Wyatt
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  • The Simulation Theory - Patrick Gunn
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  • Python Data Science Cookbook - Taryn Voska
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  • GAI 4th: Human-Centered Design and Interaction : Generative AI, #4 - Leaster Startx
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    Leaster Startx
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  • Quantum Computing Horizons - Al Mahmud Al Mamun
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  • AutoCAD 2025 For Beginners : The Complete Guide To Design, Drafting, And Advanced Techniques For Professional-Level Innovation - Veyra Kynn
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  • SolidWorks 2025 For Beginners : The Complete Guide To Mastering 3D Modeling, Simulation, And Engineering Excellence - Veyra Kynn
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  • Ultimate Azure Synapse Analytics : Unlock the Full Potential of Azure Synapse Analytics to Seamlessly Integrate, Analyze, and Optimize Complex Data for Enhanced Business Insights and Decision-Making (English Edition) - Swapnil Mule
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  • Python数据分析（第2版） : Chinese Edition - Posts & Telecom Press
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  • Python预测分析实战 : Chinese Edition - Posts & Telecom Press
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  • Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala - Eric Tome
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  • Principles of Data Science : A beginner's guide to essential math and coding skills for data fluency and machine learning - Sinan Ozdemir
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  • Learn Microsoft Fabric : A practical guide to performing data analytics in the era of artificial intelligence - Arshad Ali
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  • Mastering Efficient Data Modeling with MongoDB - Pedro Martins
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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 (English Edition) - Timothy Eastridge
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  • MLOps with Red Hat OpenShift : A cloud-native approach to machine learning operations - Ross Brigoli
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  • Data Labeling in Machine Learning with Python : Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models - Vijaya Kumar Suda
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