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Item #:
182398694
LEARN PANDAS: Master Data Manipulation, Integration, and Automation in Real-World Projects (Data Extreme USA Book 17)
Item #:
182398694
XAF 8794
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What Stands Out
Real-World Projects
Engage with hands-on projects that simulate real-world data manipulation scenarios, ensuring practical skill application and deeper understanding of Pandas in various data environments.
Comprehensive Curriculum
Cover an extensive range of topics including data integration and automation, equipping learners with the complete set of tools needed for effective data analysis and management.
Expert Insights
Benefit from industry-driven expertise and insights provided throughout the course, enhancing learning with professional perspectives that prepare users for career advancement in data science.
Product Details
| Publication date | September 28, 2025 |
| Language | English |
| File size | 312 KB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 208 pages |
| Page Flip | Enabled |
| Book 15 of 18 | Data Extreme USA |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Data Analysts
Ideal for data analysts seeking to enhance their skills in data manipulation and project integration using Pandas.
-
Data Scientists
Perfect for data scientists who want to automate data processes and improve workflow efficiency in real-world projects.
-
Students in Data Science
Great for students eager to learn practical applications of data manipulation using Pandas in hands-on project settings.
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Beginners Without Basics
Not suitable for complete beginners who lack fundamental knowledge of Python and data manipulation concepts.
Product Description
LEARN PANDAS: Master Data Manipulation, Integration, and Automation in Real-World Projects (Data Extreme USA Book 17)
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Features & Benefits
- Learn essential data manipulation techniques with Pandas and Python.
- Master data ingestion and export with multiple formats including CSV and SQL.
- Build advanced transformations and optimizations for efficient data processing.
- Implement validation and auditing practices to ensure data reliability.
- Integrate pipelines with tools like Airflow and Prefect for automation.
- Gain insights into best practices for scalability, governance, and compliance.
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