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Create a homepage
The homepage plugin will show you how to build a homepage which gather the most important links such as all your TM1 objects, Administation tools and plugins:
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Where to share Arc plugins
A Arc plugin is a folder which contains as minimum, two files:
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Start building a plugin from a Template
Building a Template is very easy
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Create a page which shows an overview of your instance
In the Overview List plugins you can see how to create a simple list with on the list the main tm1s.cfg settings and on the right an overview of the TM1 objects:
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Execute TM1 REST API queries
The TM1 REST API plugin will help you to get more familiar with the TM1 REST API. You can execute pre-written GET, POST, PATCH and DELETE request or write your own requests.
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Connecting to the IBM Cloud remotely with Arc using the non-interactive account
If you want to use Arc with your IBM ID, you should jump to the following article:
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Timeseries Forecasting with Facebook Prophet and TM1/Planning Analytics
Welcome to the last part of the articles series about Data Science with TM1/Planning Analytics and Python. In Part 1 we loaded weather data from the NOOA web service into our TM1 cubes. In Part 2, by analyzing the data with Pandas and Ploty, we’ve learned that
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Explore your TM1/Planning Analytics data with Pandas and Ploty
Welcome to the second part of the Data Science with TM1/Planning Analytics article. In the Part 1 article, we uploaded in our TM1 cubes the weather data from a web service. Now that we have all the data we need in TM1, we can start to analyse it. The Python community provides lots of tools…
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Upload weather data from web services into TM1/Planning Analytics
Python is a widely-used general-purpose programming language that lets you work quickly and integrate systems more effectively. TM1py enables you for the first time to get easily data from a multitude of systems and web services such as Trello, Salesforce, financial web services and many more… into your TM1/Planning Analytics application.
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Introduction to Load Balancing with Canvas
The following article explains the concept of load balancing and how it can be implemented with Canvas.