While there are multiple languages that data scientists can use, Python has essential advantages for data science. Each language has its specific history, purpose, strengths, and style. The choice of language should be informed by the type of work being done now and in the future. In this post, I make the (somewhat opinionated) case for why Python is the best choice as the primary language for data science coding shops.
In Part 1, we explored some of the power offered by the pandas framework. Now we'll dive deeper into the tools such as grouping, aggregation, joins, advanced string methods and other functions.
Tired of your fellow humans being probed by aliens? It’s time to probe back! Well, at least, probe the data on UFO sightings. To do this, we’ll show-case one of the most popular open source tools for analyzing data: the pandas package.
We can apply machine learning to help detect credit card fraud, but there is a bit of a problem in that the vast majority of transactions are perfectly legitimate, which reduces a typical model’s sensitivity to fraud.
Whether you are fairly new to data science techniques or even a seasoned veteran, interpreting results from a machine learning algorithm can be a trying experience. The challenge is making sense of the output of a given model.
What is Python? You probably know it’s a programming language. But is Python a program? A language? An ecosystem? It’s all of these and more. What is the actual software that lets us create such useful scripts, modules, packages, and frameworks?
Pyparsing is a Python module for creating text parsers. It provides many functions for specifying what should be matched, how items should repeat, and more.
I randomly sampled the bandwidth by bringing up a browser and going to a speed test page, but then I realized hey! I’m a programmer! I can automate that task. What follows is How I Did It.
Django is a Web framework like Rails, Spring, or ASP.NET MVC, but for Python. Using Django, you can quickly develop a Web application whose data (models) is stored in the database of your choosing, using templates for page views, and simple Python functions for controllers.
