Showing posts with label Points. Show all posts
Showing posts with label Points. Show all posts

Sunday, 18 December 2016

R Points #1 - Matrix & Factor Basics

Saturday, 17 December 2016

R Points #0 - Basics n Vector




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Tuesday, 14 June 2016

Python Points #14 - Code a childhood game


Level : Intermediate

Try to code this famous childhood game played in india, known as "Raja, Mantri, Chor, Sipahi", in python by seeing the game output shared below -

https://twitter.com/datagenx


Little bit about Game:
Chits are made for Raja/King(100 points), Mantri/Minister(80 points),Chor/Thief(0 points) and Sipahi/Insprector(50 points). These chits are then thrown in the middle and 4 players pick one each. Raja/King then exclaims ‘Mera Manrti kaun?’ (Who is my minister?){In my game/code, King is so smart and asked directly to Mantri/Minister} Mantri/Minister responds and s/he is then asked to identify the Chor/Thief (Who stole my Queen's neckless ). If he guesses correctly then the points are retained if s/he is incorrect that he has to surrender the points to the Chor/Thief. The player with highest point wins in the end.



http://www.datagenx.net/search/label/Python?&max-results=9






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Sunday, 29 May 2016

Python Points - Assignments

Thursday, 19 May 2016

5 Tips For Better DataStage Design #13



1. The query used in the database should be in such a way that required number of rows are fetched. Do not extract the columns which are not required.

2. For parallel jobs, sequential File should not be read using same partitioning.


http://www.datagenx.net/2016/05/5-tips-for-better-datastage-design-13.html


3. For huge amount of data, use of sequential file stage is not a good practice. This stage also should not be used for intermediate storage between jobs. It degrades the performance of the job.

4. The number of lookups in a job design should be minimum. Join stage is a good alternative to lookup stage.

5. For parallel jobs, proper portioning method is to be used for better job performance and accurate flow of data.





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Sunday, 7 February 2016

Python Points #10b - Reading Files

Saturday, 6 February 2016

Python Points #10a - Reading Files