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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 ]

UNIX Shell Scripting and Job Scheduling

Shell scripting and job scheduling are two major tasks for any UNIX developer. I am presenting here essential commands that need for any developer.

Shell Scripts commands
  • Shell script basics
  • Variables in shell scripts
  • Kornshell arithmetic 
  • Commands for scripts
  • Flow control, tests, and expressions
  • Making Scripts Friendlier
  • Functions
  • Pipes and Shell Scripts
  • Scripts with awk and/or sed
Job Scheduling commands
  • bg and at
  • cron
Read here

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