v.2.2

Minor Release

This release includes functions for clustering, forecasting and linear correlations.

• Clustering : Implemented using HDBSCAN, a high performance algorithm that is great for exploratory data analysis.
• Time series forecasting : Implemented using Facebook Prophet, a modern library for easily generating good quality forecasts.
• Seasonality and holiday analysis: Also using Facebook Prophet.
• Linear correlations : Implemented using Pandas.

Change Log v.2.2:

• Qlik-Py-Init.bat now imports an additional library grpcio-tools due to a change in dependencies.
• Qlik-Py-Init.bat now copies the project files to the Python virtual environment instead of moving them. This makes it a bit easier to delete the environment and run the initialization again if required.

qlik-py-tools-2.2.zip
This zip archive only contains the files needed to deploy the SSE. To get the sample apps download the full source code above or get them from the docs.

v.2.1

Minor Release

This release includes functions for clustering, forecasting and linear correlations.

• Clustering : Implemented using HDBSCAN, a high performance algorithm that is great for exploratory data analysis.
• Time series forecasting : Implemented using Facebook Prophet, a modern library for easily generating good quality forecasts.
• Seasonality and holiday analysis: Also using Facebook Prophet.
• Linear correlations : Implemented using Pandas.

Change Log v.2.1:

• Qlik-Py-Init.bat now creates a Windows firewall rule to open TCP Port 50050.

qlik-py-tools-2.1.zip
This zip archive only contains the files needed to deploy the SSE. To get the sample apps download the full source code above or get them from the docs.

v.2.0

Now including Clustering with HDBSCAN

This release includes functions for clustering, forecasting and linear correlations.

• Clustering : Implemented using HDBSCAN, a high performance algorithm that is great for exploratory data analysis.
• Time series forecasting : Implemented using Facebook Prophet, a modern library for easily generating good quality forecasts.
• Seasonality and holiday analysis: Also using Facebook Prophet.
• Linear correlations : Implemented using Pandas.

qlik-py-tools-2.0.zip
This zip archive only contains the files needed to deploy the SSE. To get the sample apps download the full source code above or get them from the docs.

v.1.0

Initial release

This release includes functions for forecasting and linear correlations.

• Time series forecasting : Implemented using Facebook Prophet, a modern library for easily generating good quality forecasts.
• Seasonality and holiday analysis: Also using Facebook Prophet.
• Linear correlations : Implemented using Pandas.

qlik-py-tools-1.0.zip
This zip archive only contains the files needed to deploy the SSE. To download the sample apps download the full source code above or get them from the docs.