This is a workshop to demonstrate basic Python for AI using Pandas and Jupyter notebooks.
This workshop is hosted on https://ibm.github.io/python-and-analytics/
This is designed for 2 90-minute sessions.
| Topic | Description | Time |
|---|---|---|
| Welcome | Introduction to course and participants | 00:05 |
| Lecture: Basics of Python, Jupyter, and Pandas | Background on Python programming languge, The Jupyter notebook tool, and the Pandas Python library | 00:10 |
| Project setup | Setup your project for the workshop | 00:10 |
| Getting started with Python3 | Learn the basics of Python | 00:25 |
| Using Python Pandas for Data Science | Use Pandas for data visualisation | 00: 25 |
| Using Pandas DataFrames | Use a Pandas DataFrame | 00:10 |
| Wrap Up | Review of workshop and Preview of next steps | 00:05 |
| Topic | Description | Time |
|---|---|---|
| Welcome | Introduction to today's course and review of previous day | 00:05 |
| Review - project setup | Make sure you have setup your project for the workshop | 00:10 |
| Lecture: Natural Language Understanding | Overview of Natural Language Understanding technology | 00:20 |
| Create Watson NLU instance | Create the Watson NLU service | 00:10 |
| Demo of Watson NLU service | See a demonstration of Watson NLU in action | 00:05 |
| Use NLU and Jupyter to analyze Sentiment | Run a Jupyter notebook and access the NLU APIs to analyze sentiment | 00:35 |
| Wrap up | Review and Reflect on the workshop | 00:05 |
Let's make sure you're ready to go for the workshop.
Here are the items you need to check:
Navigate to the CP4DaaS webpage and make sure that you can login with your IBMid. If you don't have an IBMid, click the "Need an account? Sign up and try for free" link to create one.
Now let's make sure you can access the Developer Portal page for your company. To test that, navigate to the Developer Portal webpage and confirm you can see the page.
This workshop has been tested on IBM Watson Studio and Cloud Pak for Data as a Service
The notebooks use Python 3.7.9.