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Re: Inquiry on Weka Accessibility for VI Data Scientists

by Khalid K

Hi Nikhil, Thanks for the info. I tried using Orange on Anaconda a few weeks ago and found it mostly unusable with screen-readers. I tested it with both JAWS and NVDA without much success. Cheers, Khalid From: Nikhil Vohra <nikhil.vohra(a)stonybrook.edu> Sent: Monday, April 15, 2024 9:25 PM To: Pietro Sanchini <pietro.sanchini(a)gmail.com> Cc: Khalid K <kaak42(a)outlook.com>; datascience(a)blindcoders.com Subject: Re: [data-science]Re: Inquiry on Weka Accessibility for VI Data Scientists I have also never used Weka, but I found the following links that might be helpful; the first is a link to using Weka through Python, the second is a list of top alternatives to Weka (where Orange is listed as the top alternative), and the third is a link to getting started with Orange through Python: 1. https://waikato.github.io/weka-wiki/faqs/can_i_use_weka_from_python/ 2. https://alternativeto.net/software/weka/ 3. https://orange3.readthedocs.io/projects/orange-data-mining-library/en/lates… Best, Nikhil On Mon, Apr 15, 2024 at 11:37 AM Pietro Sanchini <pietro.sanchini(a)gmail.com<mailto:pietro.sanchini@gmail.com>> wrote: I've never used Weka, as I've always relied on Python and its libraries for my data science work. I'm currently interested in learning Rust to further develop my programming skills, particularly in creating Python libraries similar to Polars. regards, Pietro Em seg., 15 de abr. de 2024 às 10:32, Khalid K <kaak42(a)outlook.com<mailto:kaak42@outlook.com>> escreveu: Hi Data Scientists, I'd like to inquire about the accessibility of Weka (https://ml.cms.waikato.ac.nz/weka/) when using a screen reader. Does anyone have experience with its usability? Additionally, I’m curious to know whether it's essential to use Weka, or if similar productivity could be achieved using Python and libraries like Pandas, Seaborn, and scikit-learn. I look forward to any ideas or suggestions you have for enhancing productivity for data science with screen-readers. Kind regards, Khalid _______________________________________________ Data Science mailing list -- datascience(a)blindcoders.com<mailto:datascience@blindcoders.com> To unsubscribe send an email to datascience-leave(a)blindcoders.com<mailto:datascience-leave@blindcoders.com> _______________________________________________ Data Science mailing list -- datascience(a)blindcoders.com<mailto:datascience@blindcoders.com> To unsubscribe send an email to datascience-leave(a)blindcoders.com<mailto:datascience-leave@blindcoders.com>

April 15, 2024

Re: Inquiry on Weka Accessibility for VI Data Scientists

by Nikhil Vohra

I have also never used Weka, but I found the following links that might be helpful; the first is a link to using Weka through Python, the second is a list of top alternatives to Weka (where Orange is listed as the top alternative), and the third is a link to getting started with Orange through Python: 1. https://waikato.github.io/weka-wiki/faqs/can_i_use_weka_from_python/ 2. https://alternativeto.net/software/weka/ 3. https://orange3.readthedocs.io/projects/orange-data-mining-library/en/lates… Best, Nikhil On Mon, Apr 15, 2024 at 11:37 AM Pietro Sanchini <pietro.sanchini(a)gmail.com> wrote: > I've never used Weka, as I've always relied on Python and its libraries > for my data science work. I'm currently interested in learning Rust to > further develop my programming skills, particularly in creating Python > libraries similar to Polars. > > regards, > Pietro > > > > > > Em seg., 15 de abr. de 2024 às 10:32, Khalid K <kaak42(a)outlook.com> > escreveu: > >> Hi Data Scientists, >> >> >> >> I'd like to inquire about the accessibility of Weka ( >> https://ml.cms.waikato.ac.nz/weka/) when using a screen reader. Does >> anyone have experience with its usability? Additionally, I’m curious to >> know whether it's essential to use Weka, or if similar productivity could >> be achieved using Python and libraries like Pandas, Seaborn, and >> scikit-learn. >> >> >> >> I look forward to any ideas or suggestions you have for enhancing >> productivity for data science with screen-readers. >> >> >> >> Kind regards, >> >> Khalid >> >> >> _______________________________________________ >> Data Science mailing list -- datascience(a)blindcoders.com >> To unsubscribe send an email to datascience-leave(a)blindcoders.com >> > _______________________________________________ > Data Science mailing list -- datascience(a)blindcoders.com > To unsubscribe send an email to datascience-leave(a)blindcoders.com >

April 15, 2024

Re: Inquiry on Weka Accessibility for VI Data Scientists

by Pietro Sanchini

I've never used Weka, as I've always relied on Python and its libraries for my data science work. I'm currently interested in learning Rust to further develop my programming skills, particularly in creating Python libraries similar to Polars. regards, Pietro Em seg., 15 de abr. de 2024 às 10:32, Khalid K <kaak42(a)outlook.com> escreveu: > Hi Data Scientists, > > > > I'd like to inquire about the accessibility of Weka ( > https://ml.cms.waikato.ac.nz/weka/) when using a screen reader. Does > anyone have experience with its usability? Additionally, I’m curious to > know whether it's essential to use Weka, or if similar productivity could > be achieved using Python and libraries like Pandas, Seaborn, and > scikit-learn. > > > > I look forward to any ideas or suggestions you have for enhancing > productivity for data science with screen-readers. > > > > Kind regards, > > Khalid > > > _______________________________________________ > Data Science mailing list -- datascience(a)blindcoders.com > To unsubscribe send an email to datascience-leave(a)blindcoders.com >

April 15, 2024

Inquiry on Weka Accessibility for VI Data Scientists

by Khalid K

Hi Data Scientists, I'd like to inquire about the accessibility of Weka (https://ml.cms.waikato.ac.nz/weka/) when using a screen reader. Does anyone have experience with its usability? Additionally, I'm curious to know whether it's essential to use Weka, or if similar productivity could be achieved using Python and libraries like Pandas, Seaborn, and scikit-learn. I look forward to any ideas or suggestions you have for enhancing productivity for data science with screen-readers. Kind regards, Khalid

April 15, 2024

Re: Sonification.

by Patrick Smyth

Hey Pietro, I'll both agree and disagree with you here. I agree in the sense that the tools I find most useful are working closely in the REPL by applying specific filters and transformations and looking at the text outputs. I think I am less excited about LLM interpretation, but it's certainly increasingly useful. If you're trying to get something done, it's probably usually best to get smart with textual outputs. That said, there's a gap in that stack that I think sonification fills. The gap is making a case to others. When you want to get your point across on social edia or to your boss, a fancy visualization goes a long way. While sonification is kind of not really there yet as a toolset, I think sonification can fill the role of something that can be shared with others to make them understand some point you're making. Sonification does well on social media, and while it's probably not going to dominate boardroom reports like a pie chart, I could see sending a file to your boss here and there in specific situations. I do think the technology needs to get a lot easier to use, and to work on a wider variety of hardware. Best, -- Patrick Smyth, PhD Chief Learner Iota School <https://iotaschool.com/> GitHub <https://github.com/smythp> | Twitter <https://twitter.com/psmyth01> | LinkedIn <https://www.linkedin.com/in/smythp> On Sun, Mar 31, 2024, at 10:19 AM, Pietro Sanchini wrote: > Hi Gabriele, > > I followed the course with Sarah, but I confess that I am still not convinced of the usefulness of this type of tool in the daily life of a blind data scientist. Sometimes we have data with a lot of noise, biases, and important details that will be difficult or, in my opinion, impossible to capture completely with sonifications. > > It can be useful and even somewhat playful for astronomy, but as a data scientist who works in industry analyzing and applying predictive models in big data and business problems, I don't see much use for it. > > That's why I believe that it is much better to invest in two fronts: LLMs for graph description and statistical tools for data analysis - hypothesis testing, in-depth study of linear algebra and probability, study of numerical analysis, etc. I have been investing in the second front for four years now and although I still have a lot to learn, I feel increasingly confident in working with data without using graphs. > > Again, this is just my personal opinion and there may be those who disagree. > > Kind regards, > Pietro > > Em sex., 29 de mar. de 2024 às 12:01, Gabriele Battaglia <iz4apu(a)libero.it> escreveu: >> Hi guys. >> >> My first question has to do with a subject I care a lot, sonification. >> >> >> I tried astronify but I'm not very happy with it. In my opinion it lacks >> many things like stereo capability, using different waveforms, sonify >> more than 1 serie of data at the same time and a usless complex grammar. >> >> >> I would like to try something more complete and maybe easier to use. >> >> >> Do you know something like that, to import as a python library? >> >> >> Thanks. >> >> >> Gabe. >> >> -- >> Gabriele Battaglia (IZ4APU) >> --... ...-- -.. . .. --.. ....- .- .--. ..- - ..- . . >> Sent from my Giant Desktop PC >> >> _______________________________________________ >> Data Science mailing list -- datascience(a)blindcoders.com >> To unsubscribe send an email to datascience-leave(a)blindcoders.com > _______________________________________________ > Data Science mailing list -- datascience(a)blindcoders.com > To unsubscribe send an email to datascience-leave(a)blindcoders.com >

April 8, 2024

Reading formulas with NVDA.

by Gabriele Battaglia

Hi, What's the best addon to read math in web pages or document? I've found MathCAT and Access8Math, in the NVDA addon store. Which one is most complete or still mantained or better somehow. Thanks. -- Gabriele Battaglia (IZ4APU) --... ...-- -.. . .. --.. ....- .- .--. ..- - ..- . . Sent from my Giant Desktop PC

April 6, 2024

Enhancing Sonifications with Spatial Effect

by Nikhil Vohra

Dear all, I recently wrote a script (attached at the end of this email) that, for each .wav file in the folder/directory where the script is run: 1. smoothly pans the audio from left to right over its full duration for spatial effect (such that x is mapped both to time and space). 2. exports the file as a .ogg file, saving memory (without noticeable loss in quality). In order to make use of the script, you will have to save sonifications as .wav files after generating them. Run `my_sonification.write(file_name.wav)` after running `my_sonification.sonify()` to save the sonification as a .wav file that can be played at a later time, shared with others, etc. Replace 'my_sonification' with the relevant variable and 'file_name' with whatever name you choose. Note that Web browsers and audio players should be able to handle the .wav file on your system. The script also has two additional dependencies before it can be used: 1. FFmpeg (Use `conda install ffmpeg`) 2. PyDub (Use `pip install pydub`) Once you've installed the dependencies, navigate to the folder that contains your .wav files (using `cd path_to_folder`), start your IPython session by typing `ipython`, and run the script using `%run pan_and_compress.py`. If the script runs successfully, then all of the .wav files in the folder should have been converted to .ogg files that have spatial audio (panned across the left and right channels) and that are much smaller in size than the original .wav files. You can then open the .ogg files in a Web browser or audio player to hear the audio. Using headphones can make the sonification sound more immersive as the sound moves from left to right as it plays. Based on the perceived location of the sound at any given point, you can estimate your position in the sonification (e.g., you hear a peak halfway through the audio (in the center) or about a third of the way into it (to the left)). If you would like to play your new .ogg file in the IPython command line directly (to avoid the need for other programs), use the following steps: 1. Run `import subprocess` 2. Run `subprocess.run(['ffplay', '-autoexit', 'file_name.ogg'])` Note that you can hit the Escape key on the top left of your keyboard to stop playback at any time while the sonification is playing from your terminal using the above steps. Consider using headphones however/wherever you choose to play the file. You will find 1) the script 'pan_and_compress.py' and 2) 'sample_spatial_sonification.ogg' attached to this email. You can listen to the sample spatial sonification to get an idea of the left-right panning. Remember to move the script into the folder where you would like to use it. Please let me know if you try it out and/or if you have any questions. Best, Nikhil P.S.: The sample sonification is of the mathematical function the cosine of *x* squared, *y* = cos(*x***2), from *x* = -6 to *x* = 6. Python uses two stars to indicate exponentiation.

April 2, 2024

Re: Sonification.

by Pietro Sanchini

Hi Gabriele, I followed the course with Sarah, but I confess that I am still not convinced of the usefulness of this type of tool in the daily life of a blind data scientist. Sometimes we have data with a lot of noise, biases, and important details that will be difficult or, in my opinion, impossible to capture completely with sonifications. It can be useful and even somewhat playful for astronomy, but as a data scientist who works in industry analyzing and applying predictive models in big data and business problems, I don't see much use for it. That's why I believe that it is much better to invest in two fronts: LLMs for graph description and statistical tools for data analysis - hypothesis testing, in-depth study of linear algebra and probability, study of numerical analysis, etc. I have been investing in the second front for four years now and although I still have a lot to learn, I feel increasingly confident in working with data without using graphs. Again, this is just my personal opinion and there may be those who disagree. Kind regards, Pietro Em sex., 29 de mar. de 2024 às 12:01, Gabriele Battaglia <iz4apu(a)libero.it> escreveu: > Hi guys. > > My first question has to do with a subject I care a lot, sonification. > > > I tried astronify but I'm not very happy with it. In my opinion it lacks > many things like stereo capability, using different waveforms, sonify > more than 1 serie of data at the same time and a usless complex grammar. > > > I would like to try something more complete and maybe easier to use. > > > Do you know something like that, to import as a python library? > > > Thanks. > > > Gabe. > > -- > Gabriele Battaglia (IZ4APU) > --... ...-- -.. . .. --.. ....- .- .--. ..- - ..- . . > Sent from my Giant Desktop PC > > _______________________________________________ > Data Science mailing list -- datascience(a)blindcoders.com > To unsubscribe send an email to datascience-leave(a)blindcoders.com >

March 31, 2024

Welcome to the list!

by Patrick Smyth

Hi all, Someone reached out about posting to the list, so I'll kick things off. You can write to the list by sending an email to datascience(a)blindcoders.com. If you have questions about VI data science or want to share something cool, just start a new email and send it to the list. Happy Sunday! Best, Patrick

March 31, 2024

I found this sonification tool.

by Gabriele Battaglia

...that seems interesting james-trayford/strauss: Sonification Tools and Resources for Astronomers Using Sound Synthesis (github.com) <https://github.com/james-trayford/strauss> -- Gabriele Battaglia (IZ4APU) --... ...-- -.. . .. --.. ....- .- .--. ..- - ..- . . Sent from my Giant Desktop PC

March 30, 2024