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Python map() and lambda() Use Cases and Examples

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 In Python, map() and lambda functions are often used together for functional programming. Here are some examples to illustrate how they work. Python map and lambda top use cases 1. Using map() with lambda The map() function applies a given function to all items in an iterable (like a list) and returns a map object (which can be converted to a list). Example: Doubling Numbers numbers = [ 1 , 2 , 3 , 4 , 5 ] doubled = list ( map ( lambda x: x * 2 , numbers)) print (doubled) # Output: [2, 4, 6, 8, 10] 2. Using map() to Convert Data Types Example: Converting Strings to Integers string_numbers = [ "1" , "2" , "3" , "4" , "5" ] integers = list ( map ( lambda x: int (x), string_numbers)) print (integers) # Output: [1, 2, 3, 4, 5] 3. Using map() with Multiple Iterables You can also use map() with more than one iterable. The lambda function can take multiple arguments. Example: Adding Two Lists Element-wise list1 = [ 1 , 2 , 3 ]
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RDBMS Vs NOSQL awesome differences to read now

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NoSQL and RDBMS or SQL are different from each other. You may ask what is the difference. Below explained in a way that you can understand quickly.

rdbms vs no sql

💡Traditional Database

  • A schema is required. All traditional data warehouses using RDBMS to store datamarts.
  • Databases understand SQL language. It has a specific format and rules to interact with traditional databases.
  • Less scalable. It has certain limitations. 
  • Expensive to make the databases as scalable
  • Data should be in a certain format.
  • Data stored in row format.

NoSQL database

The growing internet usage and involving a number of devices caused to invent databases that have the capability to store any kind of data.

NoSQL Special Features
  • The schema is not required. Ability to handle multiple data types. This is the power of NoSQL.
  • NoSQL is much suitable for analytical databases. Since those should be flexible, scalable, and able to store any formatted data.
  • The increased usage of web applications, the availability of broadband for the common man, caused the generating of a variety of data. So NoSQL is absolutely needed for the new generation businesses.
  • Data stored in column format. In the form of key-value pairs.
  • Python, Ruby, PHP, and Java are top languages you need to interact with NoSQL databases.

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