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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’...

2 Top Differences Automation Vs Internet of Things

Five reasons why IoT automation provides opportunities to deliver better product or Services. The data from sensors is a golden asset to derive benefits and to apply in products or services.

Automation and IoT both are different 

Automation

The automation is based on the data collected from various devices and make it happen when something goes wrong you can say as automation.

The best example is based on sensor generated data the automation tool take corrective action during course of flying from one country to other.

  Internet of Things

  1. More mobile phones than fixed
  2. New architecture models (ex: Cloud computing)
  3. The new protocol (Ipv6)
  4. Everything is Sensor-laden
  5. More machines than people

The Growth of Internet Usage

The internet will be double in size every 5.32 years. More devices can be connected to the internet through IP. The internet limitation in IPv4 is 4 billion addresses.

But, the internet limitation for IPv6 is 2^128. The total IP traffic over the internet is 1 ZettaByte as of 2011.

Data process
Wisdom from Data

Data 

  1. Information-It is the data after you did clean the raw data.
  2. Knowledge-The ideas or patterns you obtain from cleaned data.
  3. Wisdom-Building models and you can make automate the certain task.

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