Experiments With Gen AI, Knowledge Graphs, Workflows, and Python

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Are you looking for some projects where you can practice your Python skills? Would you like to experiment with building a generative AI app or an automated knowledge graph sentiment analysis tool? This week on the show, we speak with Raymond Camden about his journey into Python, his work in developer relations, and the Python projects featured on his blog.

Raymond is a developer evangelist and advocate who works with APIs, AI, and the web. He’s been expanding his developer knowledge by learning Python and documenting his journey through his blog and with the live-streaming show Code Break.

We discuss a couple of his recent Python projects. The first is building a resume review and revision system with generative AI and Flask. The other project uses Diffbot’s knowledge graph and Pipedream’s workflow tools to create an automated sentiment analysis tool.

This episode is sponsored by AMD.

Course Spotlight: What Can You Do With Python?

In this video course, you’ll find a set of guidelines that will help you start applying your Python skills to solve real-world problems. By the end, you’ll be able to answer the question, “What can you do with Python?”

Topics:

00:00:00 – Introduction
00:03:15 – Programming background and learning Python
00:07:59 – What’s been hard about learning a new language?
00:09:26 – Learning pip, managing packages, and suggesting uv
00:12:26 – Developer relations and sharing knowledge
00:14:40 – Sponsor: AMD - AIatAMD
00:15:17 – Moving things from Code Break to the blog
00:17:27 – Building a resume review and revise system with Gen AI
00:31:58 – Video Course Spotlight
00:33:16 – Adding the revision step
00:35:59 – Exploring code assistance
00:38:52 – Changing into the developer relations role
00:41:40 – Using Diffbot and Pipedream for sentiment analysis project
00:48:06 – Pipedream workflow with Python scripts
00:53:28 – What are you excited about in the world of Python?
00:55:45 – What do you want to learn next?
00:57:45 – How can people follow your work online?
00:58:03 – Thanks and goodbye

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