Practical Business Python

Taking care of business, one python script at a time

Mon 29 August 2016

Introduction to Data Visualization with Altair

Posted by Chris Moffitt in articles   

Despite being over 1 year old, one of the most popular articles I have written is Overview of Python Visualization Tools. After these many months, it is one of my most frequently searched for, linked to and read article on this site. I think this fact speaks to hunger in the python community for one visualization tool to rise above the rest. I am not sure I want (or need) one to “win” but I do continue to watch the changes in this space with interest.

All of the tools I mentioned in the original article are still alive and many have changed quite a bit over the past year or so. Anyone looking for a visualization tool should investigate the options and see which ones meet their needs. They all have something to offer and different use-cases will drive different solutions.

In the spirit of keeping up with the latest options in this space, I recently heard about Altair which calls itself a “declarative statistical visualization library for Python.” One of the things that peaked my interest was that it is developed by Brian Granger and Jake Vanderplas. Brian is a core developer in the IPython project and very active in the scientific python community. Jake is also active in the scientific python community and has written a soon to be released O’Reilly book called Python Data Science Handbook. Both of these individuals are extremely accomplished and knowledgeable about python and the various tools in the python scientific ecosystem. Because of their backgrounds, I was very curious to see how they approached this problem.

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Tue 23 August 2016

Lessons Learned from Analyze This! Challenge

Posted by Chris Moffitt in articles   

I recently had the pleasure of participating in a crowd-sourced data science competition in the Twin Cities called Analyze This! I wanted to share some of my thoughts and experiences on the process - especially how this challenge helped me learn more about how to apply data science theory and open source tools to real world problems.

I also hope this article can encourage others in the Twin Cities to participate in future events. For those of you not in the Minneapolis-St. Paul metro area, then maybe this can help motivate you to start up a similar event in your area. I thoroughly enjoyed the experience and got a lot out of the process. Read on for more details.

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Mon 16 May 2016

Sharing Your Python Case Studies

Posted by Chris Moffitt in articles   

I would like to offer this blog as platform for people to share their success stories with python. Over the past couple of weeks, I have had a handful of conversations related to the topic of how to get python implemented in an organization. In these conversations, I have noticed a lot of common themes related to getting the process started and sustaining it over time.

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Wed 06 April 2016

Interactive Data Analysis with Python and Excel

Posted by Chris Moffitt in articles   

I have written several times about the usefulness of pandas as a data manipulation/wrangling tool and how it can be used to efficiently move data to and from Excel. There are cases, however, where you need an interactive environment for data analysis and trying to pull that together in pure python, in a user-friendly manner would be difficult. This article will discuss how to use xlwings to tie Excel, Python and pandas together to build a data analysis tool that pulls information from an external database, manipulates it and presents it to the user in a familiar spreadsheet format.

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