Engineer Man has a great video demonstrating the power of Python and Beautiful Soup when applied to web scraping. Long time readers will know that I have long been a fan of web scraping, often employing in apps. I’ve even written a C# library and a “Screen Scrapers Manifesto” that implored content creators to create APIs and if they didn’t, we’d just grab the data anyways. 😉
Unfortunately, said manifesto was wiped out last year.
In this tutorial, recent guest on Data Driven, Micheleen Harris demonstrates common Python libraries for image manipulation are introduced and used in a Jupyter notebook for manipulating a sample image.
The pandas library is a powerful tool for multiple phases of the data science workflow, including data cleaning, visualization, and exploratory data analysis. However, proper data science requires careful coding, and pandas will not stop you from creating misleading plots, drawing incorrect conclusions, ignoring relevant data, including misleading data, or executing incorrect calculations.
In this tutorial session from PyCon Cleveland 2018, you’ll perform a variety of data science tasks on a handful of real-world datasets using pandas.