Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions
- Length: 264 pages
- Publication Date: 2023-09-19
Data Structures and Program Design Using Python: A Self-Teaching Introduction
- Length: 376 pages
- Publication Date: 2020-11-10
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
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- Publication Date: 2023-04-10
Business Intelligence Career Master Plan: Launch and advance your BI career with proven techniques and actionable insights
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- Publication Date: 2023-08-31
Scaling Python with Dask: From Data Science to Machine Learning
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- Publication Date: 2023-08-29
Practical C++ Backend Programming: Crafting Databases, APIs, and Web Servers for High-Performance Backend
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- Publication Date: 2023-07-30
Mastering Tableau 2023: Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
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- Publication Date: 2023-08-29
Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud
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- Length: 286 pages
- Publication Date: 2023-08-29
Data Wrangling on AWS: Clean and organize complex data for analysis
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- Publication Date: 2023-08-09
Responsible AI in the Enterprise: Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers and Azure OpenAI
- Length: 252 pages
- Publication Date: 2023-09-11
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL
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- Publication Date: 2023-08-09
Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python, 2nd Edition
- Length: 422 pages
- Publication Date: 2023-07-31