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Mastering flat_map in Python with List Comprehension

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Introduction In Python, when working with nested lists or iterables, one common challenge is flattening them into a single list while applying transformations. Many programming languages provide a built-in flatMap function, but Python does not have an explicit flat_map method. However, Python’s powerful list comprehensions offer an elegant way to achieve the same functionality. This article examines implementation behavior using Python’s list comprehensions and other methods. What is flat_map ? Functional programming  flatMap is a combination of map and flatten . It transforms the collection's element and flattens the resulting nested structure into a single sequence. For example, given a list of lists, flat_map applies a function to each sublist and returns a single flattened list. Example in a Functional Programming Language: List(List(1, 2), List(3, 4)).flatMap(x => x.map(_ * 2)) // Output: List(2, 4, 6, 8) Implementing flat_map in Python Using List Comprehension Python’...

10 Tricky Apache-Storm Interview Questions

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The storm is a real-time computation system. It is a flagship software from Apache foundation. Has the capability to process in-stream data. You can integrate traditional databases easily in the Storm. The tricky and highly useful interview questions given in this post for your quick reference. Bench mark for Storm is a million tuples processed per second per node. Tricky Interview Questions 1) Real uses of Storm? A) You can use in real-time analytics, online machine learning, continuous computation, distributed RPC, ETL 2) What are different available layers on Storm? Flux SQL Streams API Trident   3)  The real use of SQL API on top of Storm? A) You can run SQL queries on stream data 4) Most popular integrations to Storm? HDFS Cassandra JDBC HIVE HBase 5) What are different possible Containers integration with Storm? YARN DOCKER MESOS 6) What is Local Mode? A) Running topologies in the Local server we can say as Local Mode. ...