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Advanced Data Science Systems Engineering: Building Reproducible, Scalable, and Production-Ready Systems in Python (Data Science Engineering in Python)
Advanced Data Science Systems Engineering: Building Reproducible, Scalable, and Production-Ready Systems in Python (Data Science Engineering in Python)
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Stream Everything: Real-Time Data Processing, Event-Driven Architectures, and Kafka Engineering with Python
Stream Everything: Real-Time Data Processing, Event-Driven Architectures, and Kafka Engineering with Python
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The Ultimate Data Science & Machine Learning Interview Playbook 2026: 300+ Real Questions Covering Python, SQL, ML Systems, and Data Engineering from ... 1 (The Complete Tech Interview Series)
The Ultimate Data Science & Machine Learning Interview Playbook 2026: 300+ Real Questions Covering Python, SQL, ML Systems, and Data Engineering from ... 1 (The Complete Tech Interview Series)
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Data Engineering Interview Mastery & System Design: Data Engineer Interviews with SQL, Python, Spark, Cloud & Production Architecture
Data Engineering Interview Mastery & System Design: Data Engineer Interviews with SQL, Python, Spark, Cloud & Production Architecture
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Data Science and Machine Learning Engineering: Statistical Learning, Predictive Analytics, Optimization Algorithms, Deep Learning, and Python Applications
Data Science and Machine Learning Engineering: Statistical Learning, Predictive Analytics, Optimization Algorithms, Deep Learning, and Python Applications
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Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms
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Developing Bots with Selenium Python: For Web Scraping, Test Engineering, Data Mining, and Automation (Mepso Media Bot Development Series)
Developing Bots with Selenium Python: For Web Scraping, Test Engineering, Data Mining, and Automation (Mepso Media Bot Development Series)
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Python Scripts for Feature Engineering: Master Data Preparation: Pipelines, Production Systems, Automation and Real-World Deployment: 2
Python Scripts for Feature Engineering: Master Data Preparation: Pipelines, Production Systems, Automation and Real-World Deployment: 2
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Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
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Excel to Python for Data Engineering: Designing Reproducible, Scalable, and Production-Grade Data Workflows
Excel to Python for Data Engineering: Designing Reproducible, Scalable, and Production-Grade Data Workflows
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Python Scripts for Feature Engineering: Master Data Preparation: Foundations, Data Preparation, Feature Creation, and Dimensionality Reduction: 1
Python Scripts for Feature Engineering: Master Data Preparation: Foundations, Data Preparation, Feature Creation, and Dimensionality Reduction: 1
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Stream Everything: Real-Time Data Processing, Event-Driven Architectures, and Kafka Engineering with Python
Stream Everything: Real-Time Data Processing, Event-Driven Architectures, and Kafka Engineering with Python
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Python for Data Engineering: ETL Pipelines, Warehousing & Real-Time Streaming
Python for Data Engineering: ETL Pipelines, Warehousing & Real-Time Streaming
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Python Data Engineering: Build Bulletproof Pipelines & Analytics Systems
Python Data Engineering: Build Bulletproof Pipelines & Analytics Systems
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Data Science & Machine Learning Mastery: From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to ... Data Science & AI Engineering Series)
Data Science & Machine Learning Mastery: From Python Basics to Deep Learning, CNN, RNN, NLP & Transformers | Step-by-Step Guide for Beginners to ... Data Science & AI Engineering Series)
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Modern Data Engineering with SQL and Python: Build Production-Grade ETL Pipelines, Analytics Work-flows, Orchestration Systems, and Scalable Data Platforms: 4 (Production Systems Engineering Series)
Modern Data Engineering with SQL and Python: Build Production-Grade ETL Pipelines, Analytics Work-flows, Orchestration Systems, and Scalable Data Platforms: 4 (Production Systems Engineering Series)
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Modern Data Engineering with SQL and Python: Build Production-Grade ETL Pipelines, Analytics Work-flows, Orchestration Systems, and Scalable Data Platforms (Production Systems Engineering Series)
Modern Data Engineering with SQL and Python: Build Production-Grade ETL Pipelines, Analytics Work-flows, Orchestration Systems, and Scalable Data Platforms (Production Systems Engineering Series)
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Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack
Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack
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Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack
Data Engineering with Python cookbook: Learn to build efficient data pipelines using the Modern Cloud Data Stack
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Data Engineering Projects with Python & SQL: Build Real ETL Pipelines, Data Warehouses & Analytics Systems (Beginner to Job-Ready, 2026)
Data Engineering Projects with Python & SQL: Build Real ETL Pipelines, Data Warehouses & Analytics Systems (Beginner to Job-Ready, 2026)
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Advanced Data Science Systems Engineering: Building Reproducible, Scalable, and Production-Ready Systems in Python (Data Science Engineering in Python)
Advanced Data Science Systems Engineering: Building Reproducible, Scalable, and Production-Ready Systems in Python (Data Science Engineering in Python)
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Advanced Data Engineering Projects with Python, SQL & Cloud: Build Scalable Pipelines, Big Data Systems & Production Platforms
Advanced Data Engineering Projects with Python, SQL & Cloud: Build Scalable Pipelines, Big Data Systems & Production Platforms
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Python Feature Engineering Workbook: Hands-On Exercises for Data Cleaning, Encoding, Scaling, Feature Selection, Leakage Prevention, and scikit-learn Pipelines
Python Feature Engineering Workbook: Hands-On Exercises for Data Cleaning, Encoding, Scaling, Feature Selection, Leakage Prevention, and scikit-learn Pipelines
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Python Data Analysis: Master Python Analytics with Machine Learning, Deep Learning, GenAI, LLMs, and Data Engineering
Python Data Analysis: Master Python Analytics with Machine Learning, Deep Learning, GenAI, LLMs, and Data Engineering
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Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)
Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)
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Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)
Practical Data Science Engineering: Building Reusable Workflows and Pipelines in Python (Data Science Engineering in Python)
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PyCharm in Practice: Build High-Productivity AI-Assisted Python Development Workflows with JetBrains AI, Junie, FastAPI, Django, Data Science, Docker, Testing, and Modern Python Engineering
PyCharm in Practice: Build High-Productivity AI-Assisted Python Development Workflows with JetBrains AI, Junie, FastAPI, Django, Data Science, Docker, Testing, and Modern Python Engineering
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Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)
Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)
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Python Data Engineering: Build Bulletproof Pipelines & Analytics Systems
Python Data Engineering: Build Bulletproof Pipelines & Analytics Systems
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PyCharm in Practice: Build High-Productivity AI-Assisted Python Development Workflows with JetBrains AI, Junie, FastAPI, Django, Data Science, Docker, Testing, and Modern Python Engineering
PyCharm in Practice: Build High-Productivity AI-Assisted Python Development Workflows with JetBrains AI, Junie, FastAPI, Django, Data Science, Docker, Testing, and Modern Python Engineering
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Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)
Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)
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Advanced Python Patterns for Data Engineering: Build Production-Ready ETL Pipelines, Scalable Data Systems, and Reliable Data Platforms: 16 (Data Engineering Domain For professional)
Advanced Python Patterns for Data Engineering: Build Production-Ready ETL Pipelines, Scalable Data Systems, and Reliable Data Platforms: 16 (Data Engineering Domain For professional)
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Python for Data Engineering: Build Scalable Pipelines, ETL Systems, and Automate Data Workflows
Python for Data Engineering: Build Scalable Pipelines, ETL Systems, and Automate Data Workflows
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Generative Diffusion Models for Financial Engineering: Synthetic Data Generation, Tail Risk Management, and Stress Testing with Python
Generative Diffusion Models for Financial Engineering: Synthetic Data Generation, Tail Risk Management, and Stress Testing with Python
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Ace the Data Engineering Interview: Questions and Answers for Python, SQL, Data Modeling and More
Ace the Data Engineering Interview: Questions and Answers for Python, SQL, Data Modeling and More
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Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
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Mastering Python 3.14.4: A Complete Guide to Python Programming, Clean Code Practices, Data Structures, and High-Performance Software Engineering: 9 (The Complete Developer Series)
Mastering Python 3.14.4: A Complete Guide to Python Programming, Clean Code Practices, Data Structures, and High-Performance Software Engineering: 9 (The Complete Developer Series)
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Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection
Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection
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The DuckDB Data Engineering Book: Fast Analytical Querying for Local Python and R Workflows
The DuckDB Data Engineering Book: Fast Analytical Querying for Local Python and R Workflows
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Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)
Practical Data Engineering: Python and SQL in Action: Architecting the Invisible Infrastructure of the Information Age (The Caelum Protocol)
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