I Got The News

Darling if you only knew, half as much as everybody thinks you do… — Donald Jay Fagen / Walter Carl Becker Yes, yet another Python project named after a song. Unlike Where It’s At, this data collection project is named after an unfortunate Steely Dan disco meets doobie brothers song called I Got The News… Continue reading I Got The News

Putting Python Pandas DataFrames Together

If you have worked with Pandas for any length of time you have probably come across the need to stick a dataframe together with another dataframe.  It turns out it’s not as simple as you might think. I’m going to show you a couple of ways to accomplish putting one or more dataframes together in… Continue reading Putting Python Pandas DataFrames Together

Kaggle DataSets Are Not Real World Data

While I was working through my latest data related project it occurred to me that yet again I was spending most of my time getting the data into the shape that I wanted it in. While the size of the dataset I was working with was small by comparison to most Kaggle datasets;  I was… Continue reading Kaggle DataSets Are Not Real World Data

The Best 25 ( or so ) Players in the NBA 2018 and the 2018 NBA MVP

There is little doubt that advanced metrics have helped the Houston Rockets become the best team in the NBA so far in 2018.  In terms of how the team plays and was built, modern analytics have significantly contributed to their success.    In the spirit of celebrating NBA analytics I thought that I would compile as… Continue reading The Best 25 ( or so ) Players in the NBA 2018 and the 2018 NBA MVP

Only 14 NBA Teams Matter Now. Okay, Would You Believe 4…

Due to my situationally forced absence from all things digital (nothing horrible, just a very difficult move + personal milestone) I have had allot of time to think.  I have re-written my Pigskin Prognosticator in Python over and over again in my head. When I got back at it for real however,  I went a… Continue reading Only 14 NBA Teams Matter Now. Okay, Would You Believe 4…

Dirty Data? I’ll Clean Your Data.

Working with Pandas in Python has given me a totally different view of data… I come from a php/MySQL, html forms, type of development background. Back in those days – before mobile phones, SQL Injections, and Facebook ruined the Interwebs (jk/k…); often we would create forms that captured very specific data. We would then stick… Continue reading Dirty Data? I’ll Clean Your Data.

Pandas for Python – Geo-coding your Pandas Data

Welcome to the third ( and final ) installment in this series of posts about Pandas for Python. If you are new to Pandas you might want to start with the first Pandas post. I left off in the previous post cleaning up my data, something that pandas is perfect for. Today I’m gonna talk… Continue reading Pandas for Python – Geo-coding your Pandas Data

Python Pandas Prolonged

The other day I posted a Pandas for Python Primer . I promised a follow up before the end of the week; and away we go… Pandas for Python, A Slight Return Previously I talked about creating DataFrames, their rows and columns, and how one might apply a function to them. In my experience, more… Continue reading Python Pandas Prolonged

Pandas for Python

In my continuing education / love affair with Python I have moved past the basics. I have started exploring the rich Python ecosystem, and my latest fascination is Pandas. What is Pandas for Python? Pandas for Python helps coders with data manipulation and analysis. It offers data structures and operations for manipulating numerical tables and… Continue reading Pandas for Python