This is not a tutorial. It's an attempt to expose non data scientists experiencied pythonistas to the powerful pandas library. Most of python developers don't use pandas (either because they never heard of it, felt that it's a too steep learning curve or never thought that it will be useful for them). I intend to talk about python performance limitations and show how pandas can be used to overcome some of these limitations. The talk will be accompanied by a live Jupiter Notebook session that will demonstrate a typical use of pandas.
Chief Architect at Bluevine (https://www.bluevine.com). A programmer for almost 30 years. Last 6 years mostly working with Python/Django. For more info: https://il.linkedin.com/in/halabysenerman