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Use of Python in Data science, Data Integration and Data Engineer

Year: 2024
Type: article
Abstract: Python is a popular language for tasks like data cleaning, transformation, and machine learning model development in data science, data integration, and data engineering because of its adaptability, user-friendliness, and vast library of tools that make it easier to manipulate, analyze, visualize, and create pipelines. These tools also enable efficient data processing and extraction from a variety of sources. Keywords: Python, Data Integration, Data Science, AI
Language: English
Open Access status: bronze
OpenAlex ID: W4405608689
FWCI: 0.304
Cites:
Cited by: 2
Related to: 10