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How to Work With Tuple in Python

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Tuple in python is one of the streaming datasets. The other streaming datasets are List and Dictionary. Operations that you can perform on it are shown here for your reference. Writing tuple is easy. It has values of comma separated, and enclosed with parenthesis '()'. The values in the tuple are immutable, which means you cannot replace with new values. #1. How to create a tuple Code: Tuple example my_tuple=(1,2,3,4,5) print(my_tuple) Output: (1, 2, 3, 4, 5) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #2. How to read tuple values Code: print(my_tuple[0]) Output: 1 ** Process exited - Return Code: 0 ** Press Enter to exit terminal #3. How to add two tuples Code: a=(1,6,7,8) c=(3,4,5,6,7,8) d=print(a+c) Output: (1, 6, 7, 8, 3, 4, 5, 6, 7, 8) ** Process exited - Return Code: 0 ** Press Enter to exit terminal #4.  How to count tuple values Here the count is not counting values; count the repetition of a given value. Code: sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8

Switching Career Top Skills for Mainframe Programmers

Read my part-1 post. Secondly, the programmers who are working on the mainframe have very good business knowledge. 

People who have the following skills are a valuable asset to any organization. Mainframe programmers if they learn other skills and try for new jobs they can earn more money.

Programmer Roles.

A programmer who can do analysis, create database structures, write clean code, create testing structures, and clearly communicate all that has been done is a very valuable asset.

Background of Mainframe.

The mainframe was leading in the market since 1950. All the big companies in the world are running their business in mainframes. 

Yes, many American universities now teaching mainframe technology in their education curriculum, since in the future possibility is there for mainframe skill shortage.

Skills You Need to Switch Career.

  1. It may become more important for IT professionals to gain experience working with analytics technology, as research firm Gartner predicted a surge in demand in this area in the next two years. According to CIO contributor Hamish Barwick, the big data trend alone is expected to create 4.4 million jobs worldwide.
  2. Analysts warned that only a third of those jobs are likely to be filled due to difficulties in recruiting analytics talent.
  3. An opportunity for every IT Professional: "Dark data is the data being collected, but going unused despite its value and leading organizations of the future will be distinguished by the quality of their predictive algorithms.

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