Hi Ibraam,

I'm a little out of the blind data science loop lately.

Generally, I agree with you about sonification, with maybe some exceptions a screen reader workflow will be more reliable. I also think a command line approach will generally be more stable right now, there's been a noticable jump in accessibility for notebooks but it may never be first-class.

Have you seen the book Data Science at the Command Line? I link directly to the HTML version below.

https://jeroenjanssens.com/dsatcl/

I might also take a look at Python for Data Analysis (also linking to the full free HTML version):

https://wesmckinney.com/book/

Nowadays, if part of the book isn't accessible, you can try uploading a screenshot of your screen to Claude or OpenAI and they do a good job of telling you what's on there. This can also be helpful if you're having trouble parsing something in the book, you can upload the screenshot with a question.

Generally, I would work on these things:

- Statistics skills
- Python skills
- UNIX skills

So if you're having trouble finding books or resources look for sub-skills in those areas and search for those. I do find that AI has been good to suggest high-level areas to pursue like this, not sure how much you're using these tools or if they're available to you?

I forwarded your email to a couple folks as well just in case you hear back (you may not).

Feel free to ask more questions, it's a tough road for us. Also if anyone else has thoughts or support jump in.



Best,


--
Patrick Smyth, PhD
Chief Learner
Iota School
GitHub | Twitter | LinkedIn



On Sat, Jun 7, 2025, at 10:19 AM, Ibraam Wahib wrote:
hello dears
hope all is fine.

Could you please, any recommendation for courses / books help us blind people to go deeper in data analytics in business.
I don't recommend sonification tools, I believe  it's not practical in business life for us.
Also, any progress in jupyter accessibility? Do you suggest another way for Colab to improve using it or a similar website could help more in practice and could be used at work later?
totally recommend a local method if available.

From your perspective as a data Analyst  or scientist which extensions should be installed, also recommended configurations for VS Code.
Last point, could we use iPython in vs code if there is no solution for jupyter? 

Hopefully you share even recorded sessions could help me in this journey.

 thanks

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