Frank Corso
Solving data challenges for growing companies
I have 2–3 spots available for companies who have data challenges they need solved.
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Maintaining datasets on Kaggle? This tutorial walks you through automating dataset updates using the Kaggle Python API. You’ll learn how to authenticate, format the required data metadata file, and upload new versions programmatically—perfect for integrating into your data pipelines.
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Do you need to extract content or links from a webpage programmatically? You can do so in Python using Requests and Beautiful Soup!
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Heatmaps are a great way to visualize the frequency or ranges of a multi-dimensional dataset. Learn how to create them in Python using Seaborn.
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Using AWS Athena? Learn how to use Python to perform queries to get data from Athena.
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Working with text data for analysis or machine learning? You probably will need to remove stop words. Learn how in this article!
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Looking to visualize connections between different categorical values? Learn how to create a chord diagram!
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Need to work with CSV files in Python? Learn how to open, read, and write to CSV files!