python_fundamentals

• Original Python seminar given at Fordham University on December 8th, 2018 (parts 1 and 3 stem from this session)
• A more basic seminar given on February 9th, 2019
• Advanced seminar given March 9th, 2019

Instructor Bio

Abe Lerman is the Lead Data Scientist for Contently, a SoHo-based technology company focused on corporate branding. He spent the prior year or so as a Python and Data Science Consultant in the Financial Services industry, contracting at Elliott Management and The Blackstone Group. Prior to that, he worked as a Data Scientist in the ad-tech space. He earned a Master of Science degree in Quantitative Finance from Fordham University, and a Bachelor of Arts degree in Mathematics from Skidmore College.

Note

This will be a hands-on session - the students will benefit from trying to run the material we discuss. As such, students should come prepared, having downloaded and installed Python and the necessary libraries a priori (I can offer technical support as needed, but this is not the best use of time). The easiest way to do this is to go here, and click the green "Download" button for Python 3.7.

Note the above link leads to a download of the Anaconda Python distribution, which provides Python + a whole lot of third-party libraries and othertools. Students do not have to get Python this way - this just provides an all-in-one download. These notebooks can be run with the following installed:

• Python 3.6+
• numpy
• pandas
• sklearn
• matplotlib
• ipython
• jupyter
• requests

Jupyter Keyboard Shorcuts

To run a cell:

shift + enter

To enter command mode:

escape

The following commands must be run from command mode and operate at the cell level.

Copy, cut, paste cell:

c, x, v

New cell above, below:

a, b

Delete cell:

dd

Convert cell to markdown:

m

See all shortcuts:

h