Learn Python with Tera-Tom - Print Command and Placing Comments in your Python Code
This picture shows Tom Coffing (Tera-Tom) teaching Teradata certification in the 90s. Tom wrote six Tera-Cram books, and 10,000 people became certified. Thousands of people became Teradata Certified Masters from Tom's books.
Are you ready to learn about Python from the best technical trainer the world has ever seen? Tom Coffing, AKA Tera-Tom, makes learning fun, exciting, and easy. Learning Python is one of the best moves you can make in your career because it has become the premier coding language in the world.
Tom Coffing is an expert on all database systems as he has written over 85 books covering them all. Once Tom understood all databases and their SQL, he decided to learn Python.
Tom became famous as a teacher because he memorized every student's name when he greeted them. Tom has taught over 1,000 classes and never missed a single name. Ask anyone who attended a class taught by Tom Coffing.
Tom has also led a team of developers for almost 20 years to create the Nexus, which queries, migrates, and joins data across all systems. The chart below shows which systems users can query, migrate, and join data automatically with Nexus. And yes, users can run Python and Python scripts on Nexus.
You can download a free trial of Nexus at CoffingDW.com. You can also see some of the great features of Nexus right here.
You can also see the Nexus in action migrating data to the cloud here.
This video is part of the Tera-Tom Python series, where Tom provides videos that are only five minutes long. You can take your time and go at your own pace.
Print Command and Commenting
Watch the video and understand Python's Print command and how to place comments in your Python code.
Above is a picture of the Nexus, which Tom has spent 18 years working with his development team. The Nexus Chameleon allows users to customize the look and feel. The Nexus above is using dark mode. Also, notice all of the systems on the left systems tree. Imagine migrating, integrating, and joining data across systems and running your Python code against the data set.