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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: 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) print(sample

Hot Skills: Spark Self Study Materials

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Spark: With job postings up 120% year-over-year on Dice, demand for this open-source cluster-computing framework is broad-based. Government contractors and financial-services firms are just a few of the groups eager to find candidates with this skillset. 2015 Average Salary: $113,214 Related: SPARK Self Study Materials Spark Big Data and Cloud:  As companies expand their tech infrastructures, they need cloud and Big Data services such as Azure (#2), Hive (#8), and Cassandra (#9) for data storage, analysis, and security. Big Data and cloud-related skills dominated the Highest-Paid Skills list on Dice’s salary survey for the second straight year.  2015 Average Salary: Big Data—$121,328 Azure — $110,207 Salesforce: This customer-service platform serves as the bedrock for many companies’ customer service departments. Demand for Salesforce professionals seems unlikely to decline anytime soon. Employers are even willing to offer telecommuting options to lure Salesforce talent. 2