Python facilitates effective parallel processing and data streaming for real-time big data processing with frameworks like Apache Spark, Dask, and Kafka. Python libraries such as NumPy and Pandas are used for data manipulation, and PySpark is used to streamline distributed computation. The combination of Python and machine learning tools such as TensorFlow enables the use of predictive analytics on huge datasets. Furthermore, data ingestion is effortless due to its adaptability when establishing connections with databases. You can gain a deeper understanding of these tools and approaches by taking a Python certification course.

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