WebFocus Integration

Pre-Deployment

  1. Installation of python libraries
    1. Go to Command Prompt
    2. Set to C Drive P:>c:
    3. Install library package  C:>pip install <LIBRARY>
      1. List of libraries
        1. pandas : offers data structures and operations for manipulating numerical tables and time series
        2. sklearn : Features various algorithms like support vector machine, random forests, and k-neighbours, and it also supports Python numerical and scientific libraries like NumPy and SciPy
        3. TensorFlow : create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow
        4. Keras : Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible
        5. altair : Declarative statistical visualization library for Python
        6. joblift :
  2. Update Environment variables with Python Path
    1. Go to System environment variables
    2. Go to Environment Variables
    3. Set User and System variables Path to
      1. C:PythonScripts
      2. C:Python
  3. Ensure the Library package versions on your local machine matches the version on the WebFocus server
    1. Go the command prompt
    2. C:>python
    3. Display Package version and Install a specific version. e.g:
      1. import <Library>
      2. print(<PACKAGE>.__version__)
      3. pip install <Library>==<VERSION>