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pplonski86
searching PlanetScale…
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2 ms
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The standard iPhone costs the same as in 2007, adjusted for inflation
(mljar.com)
1 points
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pplonski86
8d ago
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0 comments
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Analysis of 88,975 HN Who Is Hiring Job Posts
(mljar.com)
1 points
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pplonski86
16d ago
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0 comments
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Show HN: Impress your boss with interactive Scikit-Learn Decision Tree
(github.com)
5 points
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pplonski86
17d ago
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0 comments
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pplonski86
17d ago
Thank you! I have also CSV dataset about tech layoffs, it would be super interesting to connect both in one analysis https://github.com/mljar/mercury-examples/tree/main/layoffs
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Most GitHub incidents are on Wednesday – I analyzed 4.5 years of GH incidents
(mljar.com)
4 points
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pplonski86
17d ago
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0 comments
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How Hard Is It to Find a Remote Python Data Job? I Checked 88,975 HN Job Posts
(mljar.com)
3 points
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pplonski86
18d ago
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2 comments
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I Analyzed 4.5 Years of GitHub Incidents. Here Is What Changed
(mljar.com)
2 points
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pplonski86
19d ago
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0 comments
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Mljar Studio: The Claude Code for Data Science
(youtube.com)
3 points
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pplonski86
1mo ago
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0 comments
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Show HN: Data enrichment with AI for Pandas DataFrame
(github.com)
1 points
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pplonski86
1mo ago
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0 comments
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Turn an Excel spreadsheet into a web app with Python
(mljar.com)
2 points
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pplonski86
1mo ago
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0 comments
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pplonski86
2mo ago
I was able to fit only small models Qwen3.5-4B in RTX3070 which is not very useful for Python and SQL generation thought. When I wan to test larger open LLM models I often just use cloud resources.
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pplonski86
2mo ago
Yesterday I installed llama.cpp to test it with local AI Data Analyst that I'm building. I was also testing other open LLM providers: Ollama, Jan, vLLM, LM Studio. I had older NVIDIA card (RTX 3070) and llama.cpp instalation was smooth
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Build a Web App for Your Machine Learning Model
(mljar.com)
2 points
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pplonski86
4mo ago
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0 comments
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Show HN: A curated collection of simple datasets for machine learning
(github.com)
4 points
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pplonski86
4mo ago
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1 comments
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Show HN: Impress your boss with interactive Decision Tree Visualization
(github.com)
5 points
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pplonski86
4mo ago
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0 comments
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Show HN: SuperTree – interactive decision tree plot for sklearn,xgboost,lightgbm
(github.com)
2 points
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pplonski86
4mo ago
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0 comments
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Why ipynb is a perfect format for saving AI data analysis conversations
(mljar.com)
1 points
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pplonski86
4mo ago
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0 comments
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Show HN: Mercury v3 – Convert Python Notebooks to Web Apps
(github.com)
2 points
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pplonski86
4mo ago
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0 comments
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pplonski86
4mo ago
is it terminal on steroids some kind of? so you can manage mutiple coding agents? how many coding agents you can manage in parallel that it is still comfortable to work and code changes are meaningful
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Show HN: Mercury v3 – Convert Python Notebooks to Web Apps
(github.com)
2 points
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pplonski86
4mo ago
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0 comments
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AI Generated Code Looked Right, but the Data Was Wrong
(mljar.com)
2 points
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pplonski86
4mo ago
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0 comments
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Insurance Pricing – compare TabPFN 3.0 vs. classic ML
(oleksandrruppelt.substack.com)
2 points
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pplonski86
4mo ago
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0 comments
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pplonski86
5mo ago
I love such puzzles! I used to use a lot ternary operators in C++ but one day friend of mine told me that I shouldn't nest ternary operators too much because code is too complicated to read - he understands code perfectly, he was just
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pplonski86
5mo ago
before I ask AI to write anything, I prepare a plan, I was very positively surprised when noticed Plan mode in Codex recently. It make me feel that maybe others doing the same and that's why they added it. Anyway, I start with plan, th
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The Main Path to Creative AI
(danielmiessler.com)
2 points
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pplonski86
5mo ago
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0 comments
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pplonski86
5mo ago
Python outputs is also very versatile. You can use Python to build command line script, web application, desktop app with GUI, notebook with data analysis, or Python package and share with others. It is many ways how Python code can be used
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pplonski86
5mo ago
Im working on AI data analyst - MLJAR Studio. It is conversational UI with AI agent which uses Python to provide data insights. It is available as desktop application https://mljar.com
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pplonski86
5mo ago
I'm working on an AI Data Analyst in MLJAR Studio and found this small but interesting bug while testing a medical data use case. The AI-generated Pandas code looked correct and executed without errors, but the dataframe was misaligned
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AI Generated Code Looked Right, but the Data Was Wrong
(mljar.com)
1 points
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pplonski86
5mo ago
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1 comments
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pplonski86
5mo ago
Thank you! I will check them out. It is worth to mention that MLJAR Studio is a desktop application, which is easy to install. It is running locally, and support local LLMs so all data stay safe.
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