What: A guided walkthrough and Q&A about Enthought’s technical training course Python for Scientists & Engineers with Enthought’s VP of Training Solutions, Dr. Michael Connell
Who Should Watch: individuals, team leaders, and learning & development coordinators who are looking to better understand the options to increase professional capabilities in Python for scientific and engineering applications.
In November 2016, we released Version 1.0.6 of the Data Import Tool (DIT), an addition to the Canopy data analysis environment. With the Data Import Tool, you can quickly import structured data files as Pandas DataFrames, clean and manipulate the data using a graphical interface, and create reusable Python scripts to speed future data wrangling.
For example, the Data Import Tool lets you delete rows and columns containing Null values or replace the Null values in the DataFrame with a specific value. It also allows you to create new columns from existing ones. All operations are logged and are reversible in the Data Import Tool so you can experiment with various workflows with safeguards against errors or forgetting steps. Continue reading
View a recording of the Supercharging Excel Analytics with Python webinar here.
Join us for a webinar to see how the PyXLL Python for Excel add-in makes it easy to solve your biggest data analysis challenges with advanced Python tools and analytic engines.