Category: Code
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7 tips to writing faster IBM TM1 and Planning Analytics rules
One of the reasons why IBM TM1/Planning Analytics is so fast at performing complex calculations is because it gives developers many options to optimise the calculation rules.
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Arc v1.7 is now available
Arc, the professional development tool for IBM Planning Analytics and TM1 has just got even better! Arc v1.7 includes 13 new features, 14 enhancements and 16 fixes.
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Tips – TM1 Dashboarding done right with Apliqo UX
In this exclusive interview with DB Netz AG’s Dirk Reitinger, we hear how the usual challenge of taking data from TM1 into a BI tool was completely eliminated by integrating Apliqo UX with DB Netz AG’s immense TM1 model – half a terabyte in RAM and dimensions with 4 million elements.
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Arc v1.5 is now available
Arc for TM1, the professional development tool for IBM Planning Analytics and TM1, has just got even better! We’ve been busy adding a host of innovative new features in Arc 1.5 to improve the productivity, efficiency and code quality of professional PA and TM1 developers.
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The Return of Web Frameworks
Web frameworks are a good place to get you started on how web development works. They provide reusable code so you don’t need to write it each time from scratch. In addition, web frameworks relieve the cross-browser concerns which is indeed very valuable.
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Data Science Strikes Back
Data science uses scientific methods such as statistics and mathematics to inform and more importantly provide guidance based on trends, behaviours and analytics of a company’s data. Many organisations are still not embracing the power of Data Science an overlook the fact that it can help them solve many problems by using a broad range…
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Working with Pandas dataframes with IBM TM1 and Planning Analytics
Pandas is probably the most important Python library that you should be aware of if you want to write Python scripts on top of your IBM TM1 and Planning Analytics data.
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A New Hope with the TM1 REST API
Python has recently arisen as a first in class programming language in the development of modern applications as well as data analysis mainly because it requires relatively little time and effort to learn. Its syntax is quite straightforward, and you can practically read it and understand it with very little interpretation. Consequently, developers now tend…
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Working with Python lists and dictionaries in a TM1 context
Lists and dictionaries are probably the most important data structures that you should be aware off when writing Python scripts for your IBM TM1 and Planning Analytics application.
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Getting Data from TM1 with Python
TM1py makes all the goodness of the Python ecosystem available to your IBM TM1 and Planning analytics cubes data. Python is very popular for Data Science and for a lot of other stuff. To use a Python library with your cubes data, you will need to get your data out of your cubes, do the…