Dear Kishorekumar Bharshetty, Dear Tom Barker,
You might find that the software carpentry is a good starting
point: https://software-carpentry.org/
and there is also the newer https://datacarpentry.org/.
These sites have many tutorials which also help you set up the
environment. Including aspects most seasoned programmers take for
granted. Like file systems, linux commandline and version control.
As Tom pointed out the application does matter. For exploratory
data analysis I think you'll find that Jupyter notebooks https://jupyter.org/
are a very strong offer. You can run Python in them, but there is
also support for other scripting languages like Julia and R. For
Python there is the librosa module which offers several functions
generally encountered in acoustic scene analysis.
If you want to make real time applications a compiled language is probably what you are after. There are some new languages like Rust https://www.rust-lang.org/ which offer speed without having to think about memory management all the time. So I think that as a new comer it would be advisable to try those first before attempting good old C or C++.
Kind regards,
Ronald van Elburg
Hi Kishorekumar -
I think that this is a circular type of problem. Until you know a programming language, you might not be aware of how it will help you. If you don't know how it will help you, you might not be motivated to learn.
I don't think anyone can answer these questions concretely as only you know what you want to acheive, but generally, learning to code will be of benefit.
If you are starting completely from scratch, which language you learn is not so important, as you will just need to get you head around higher level concepts associated with programming.
I just rediscovered the 'Processing' language which has a lot of similarities with Java, and would like to recommend you take a quick look at it for the following reasons:
-Easy to set up the whole environment. You will be writing code right away (even in the browser https://editor.p5js.org/).
-Easily start creating 'meaningful' output. By this, I mean that you can right code straight away, and see what that code does, producing non-trivial outputs.
Please have a look here:
https://processing.org/,
If you are intent on learning only Python, I believe there are lots of free, online, follow along tutorials that you can do in your browser. You are absolutely correct in assuming that Python is widely used in machine learning.
Realistically, going from (what sounds like) minimal coding experience to correctly applied use of machine learning algorithms will take some time. Further, ML is quite based on mathematical understanding, so if that is your goal, ensure that you have fundamental knowledge there.
Approach this as a marathon and not a sprint, and you will derive benefit from it.
Good luck,
Tom
On 02/03/2021 08:50, kishorekumar Bharshetty wrote:
Dear all,I am Kishorekumar Bharshetty, Audiologist from India. I am currently working as an Clinical Audiologist at Amplifon India Pvt Ltd.
I am curious to learn about Python software which is a language coding software, thinking that it will help me to set a base to learn more about Machine Learning technology.
I wanted to know, whether learning Python software for an audiologist is a good idea? If yes, how can I be benefitted with this in future?
Kindly, help me with this query.
Thanks, and RegardsKishorekumar BharshettyAudiologistAmplifon India Pvt Ltd, India+91-9663148361