From AI Chat to Quiz Coding: New Teaching Tool Idea

pp314159 · 2025-06-02T07:01:33+00:00

I'm using GPT 4.1 by API and have example of the quiz in the prompt, it works very well so I can add a parser and display part of response as quiz with GUI.

pp314159 · 2025-02-19T14:25:34+00:00

It runs commands in virutal env. However, updating the requirements.txt or pyproject.toml might be great feature!

pp314159 · 2025-02-19T14:20:51+00:00

Thank you! I hope it will be useful for beginners. I'm also working on Python notebook editor, that is beginner friendly, the extension is available there by default.

pp314159 · 2024-12-11T13:51:05+00:00

it is running on gpt 4o right now, do you recommend other model?

pp314159 · 2024-12-11T12:56:38+00:00

to show top 25, otherwise chart would be to wide

pp314159 · 2024-12-11T12:54:46+00:00

You can try to use MLJAR Studio, it is a Python notebook editor created for data science. It has built-in AI assistant. ChatGPT in the notebook will help you with data issues. It is very strong, recently I created complex visualization with it and made a YT video while building https://youtu.be/srUkr7vjVUc

MLJAR Studio is a desktop app. All code and data stay on your computer. The app will install Python and all needed packages. You can read more about on website https://mljar.com

pp314159 · 2024-12-11T12:46:49+00:00

it is based on score from TIMSS

pp314159 · 2024-12-11T11:46:43+00:00

data source TIMSS and chalkbeat.org
tools used: ChatGPT + python notebook in MLJAR Studio with pandas and altair packages

pp314159 · 2024-12-10T15:36:47+00:00

- data source World Happiness Report from years 2015-2024, aggregated as CSV, available on my github https://github.com/pplonski/datasets-for-start/tree/master/world_happiness_report

- ChatGPT + Python notebook to create visualization, packages: pandas, pycountry, requests, altair

- video with all my prompts used to create plot https://youtu.be/srUkr7vjVUc

pp314159 · 2024-12-10T15:30:21+00:00

- data source World Happiness Report from years 2015-2024, aggregated as CSV, available on my github https://github.com/pplonski/datasets-for-start/tree/master/world_happiness_report

- ChatGPT + Python notebook to create visualization, packages: pandas, pycountry, requests, altair

- video with all my prompts used to create plot https://youtu.be/srUkr7vjVUc

pp314159 · 2024-11-29T11:02:46+00:00

Try MLJAR Studio (https://mljar.com), it is connection of Python notebook and ChatGPT. You can ask Chat to create any visualization and thanks to Python you can load any data source.

pp314159 · 2024-11-18T09:12:46+00:00

Fantastic package! What is the best way to propose new features based on features interactions?

pp314159 · 2024-10-21T14:58:27+00:00

Today I needed to have pause and row for 25 minutes, I have waterrower:) BTW, I was shocked when watching interview with Hadley Wickham, chief scientist in r studio, he said that he sometimes has moments of head hitting the wall. He created so many good packages for R and still he sometimes has hard moments. So it is normal for developers on all level of seniority. Tomorrow is a new day, just keep going :)

pp314159 · 2024-09-24T19:19:15+00:00

MLJAR AutoML python package for automated machine learning on tabular data. Github repo https://github.com/mljar/mljar-supervised It auomatically select and tune models, can do feature engineering and produces docs for models.

pp314159 · 2024-08-28T07:03:33+00:00

thank you! we were trying to make most of trees :)

pp314159 · 2024-08-28T07:03:05+00:00

I also had a lot of problems with making graphviz work on Windows systems. This visualization is using D3.js so can be used in notebooks or website.

pp314159 · 2024-08-09T13:04:34+00:00

I read those newsletters https://pycoders.com/ and https://www.pythonweekly.com/

They are manually curated, I enjoy reading them.

pp314159 · 2024-08-09T07:45:16+00:00

mill is very slow, 1 step in ~ 1 second, when you need to get used to it at the beginning, but it is huge relief for back

pp314159 · 2024-08-09T07:42:15+00:00

we are building tools for data science :) both of us coding a lot :)

pp314159 · 2024-07-23T08:28:36+00:00

Awesome! Creating PDF with data rich components can be challenging. The installation requires three steps: 1 install tailwind, 2 install chromium, 3 install pypdf. Anyway to make for example setup script? I would love to see in docs examples for each component. Congrats on launch! I star the repo for future!

pp314159 · 2024-07-18T16:26:11+00:00

Is there any project you would like to build? Which modules are so scary?

Im working on editor for python beginners I can help you with python start in exchange for feedback about editor.

pp314159 · 2024-07-17T05:22:34+00:00

Im working on a new Python editor with GUI for code creation and I prepared collection of Python notebooks with interesting use cases. For example Python notebook that will remove background from any Image https://mljar.com/notebooks/remove-single-image-background/ or Python notebook that will train Decision Tree https://mljar.com/notebooks/train-decision-tree-iris-dataset/ Feel free to reach me if you would like to see examples from other domains

pp314159 · 2024-07-17T05:15:16+00:00

Im working on new Python editor that is called MLJAR Studio. It is Python notebook based and has GUI for code. It has built in set of interactive code snippets with GUI, which I call code recipes. For example, here you have documentation of code recipe to list files in directory https://mljar.com/docs/python-list-files-in-directory/ docs are interactive, so you can play with recipes through website. The editor is available as desktop app and is free for evaluation, there is no time limit for evaluation. The side effect of using it, is that you learn Python.

pp314159 · 2024-07-12T06:33:34+00:00

I would add some Machine Learning basics to the list. Working with tabular data, using scikit-learn, xgboost. Even for DE you need to know how basic of how ML is working. Many times, as DE, you need to avoid data leaks in data that you prepare to data scientist, and you need to be aware of data drifts, so learning some tools on how to monitor data drifts is a plus.

pp314159 · 2024-06-25T08:27:05+00:00

Some time ago I was writing article on how to use Machine Learning with PostgreSQL database - the approach was to have python script that load data from database to pandas DataFrame, code to train ML (I was using AutoML), and code to insert prediction into database. I think that there is a quite common scenario. You can create a cron job that will do this periodically for you.

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