Thom Ives

ThomIves

These are helpful studies that I have done for myself to understand how to best apply FastAPI REST APIs. I share them in hopes that they will help others.

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A group of routines to use SQL thru Python

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A math machine that uses linear algebraic principles to find the closest match of a new document to a matrix of vectors representing a corpus of existing documents.

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Understanding Statistics and Python More Together

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My journey to review and better learn PyTorch.

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A neural network visualizer that use Visual Python (VPython)

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Basics of working with SQL through Python with Pandas and then doing visualization on Pandas Dataframes

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Learning Linear Algebra Thru Coding And Visualizations In Python

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My journey, with others, to learn probability and statistics more deeply WITH Python without libraries or modules.

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My ongoing work on how to make the most of Python APIs for DS, ML, AI and general model delivery. This is mostly focused on the FastAPI Python Module.

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My PDF to text tools. These will need to be somewhat customized for your needs. It's meant to be a work in progress. You can put this in a wrapper for many files too.

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My journey to master Docker, because I finally needed to make my own containers and NOT just use those of others ;-) +

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My Python tools to be put in a directory that is then added to the location of PYTHONPATH variable for a given OS.

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My growing body of thoughts on how to BE a great developer advocate.

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