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CSV to JSON cleanup with Python
This public example preserves customer IDs such as 00017 as text, trims names and cities, and handles quoted commas and Unicode. Invalid input is rejected before an output file is created, and existing output files are never overwritten.
The source, fictional sample data, command-line tests and run instructions are available here. It is a self-directed demonstration developed and reviewed with AI assistance.
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Introducing Logometer — a lightweight, zero-dependency Python CLI tool for monitoring logs and detecting unusual error patterns.
It analyzes log streams, flags error spikes and new error types, and supports structured JSON output. It also offers optional LLM-powered explanations.
Built with Python, with testing, sample logs, and documented limitations.
Explore the project on GitHub:
https://github.com/AmanSg098/logometer
I wanted to see how far I could take an idea using AI, so I built something.
Meet Instant CSV Dashboard 🚀
It's an experiment in making data easier to explore by turning CSV files into interactive dashboards.
I built it using AI tools, moving beyond static designs to create something people can actually try.
I'm sharing a short demo of the experience, and I'd love to hear what you think.
Have a look: https://interactive-csv-dashboards.ai.studio/
If you work with data regularly, what would you want a tool like this to do for you?
#ProductDesign #AI #DataVisualization
@Google USA
Nice one. I'd want it to pick the right chart for each column on its own. That's where most people get stuck.
Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
🔗 Verify Certificate:
Validation Number: 74c5808986a64b84addcaa9db725b8bd
Verification Link: https://aws.amazon.com/verification
#AWS #MachineLearning #AI #CloudComputing #DataAnalysis #MLOps
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.