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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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Information Architect Key Responsibilities

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Gartner defines "enterprise information architecture" as that part of the enterprise architecture process.

It is a set of requirements, principles and models — the current state, future state, and guidance necessary to flexibly share and exchange information assets to achieve effective enterprise change. 

Enterprise information Architect also called EIA.

Information Architecture 

The transition from information that is isolated within applications to a flexible, comprehensive enterprise information architecture will require changes in technology, process, organizational structure and orientation. 

In particular, EA practitioners comfortable with technical architecture must now devote time to understanding this emerging discipline. 

Gartner projects that, EA teams will be forced by the business to spend as much time on information architecture as they currently spend on technical architecture. 

Changes will also impact a range of disciplines across the organization and will require coordination to drive efficiencies and achieve objectives. 

What is the role of architect

To participate in the organization's desire to maximize the value and effectiveness of information assets include: 

#1: Architects (including solution architects) Application designers Data modelers Database administrators Business intelligence specialists Master data management specialists.

#2: Data quality specialists Data integration specialists Metadata management specialists Business analysts Content management specialists Professionals in security, compliance, privacy and related disciplines 

#3: Some of these roles will be done concurrently, depending on the size of the teams, the rules of engagement (that is, "who does what at which point in the activity cycle"), the depth of domain knowledge, and resource availability. 

Understanding the different roles impacted by EIA is a critical first step. 

Role of Enterprise Architecture The role of enterprise architects is to act as facilitator, planner, change agent, champion and coach during these activities (but never dictator).

Summary

Their job is to advocate the adoption and assurance of all enterprise architecture deliverable. 

Enterprise architects should be well equipped to handle this challenge, because of their strong relationships with the business and their strategic planning skills. 

However, some will need to retool their skills. Those who step in, and step up, to develop an EIA will help their organizations deliver new enterprise capabilities

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