celurian92

would love to know how can i improve if you can give some feedback like which part is confusing.

will try it this weekend. Thanks for the suggestion

Learning java is not that hard. I really love this language with all its quirks. so i guess i will be little biased here but its my fault not to represent the information in such a way that it can be more intuitive.

the source is mostly the content tags in each blog posts. https://mohibulsblog.netlify.app/blog/ each post have some content tags. graph is based on that.

sorry as UI was not optimized enough for mobile but my intention was to show the adventure of writing and learning more about java

I completed 100 Days of Java and ended up and it took me roughly 5 years.

Made an interactive map/index of the posts, linked by related topics. I made it to make the series easier to browse by concept instead of only by day number.

I work sometimes in frontend and mostly in backend but I cant still comprehend why are we going backwards. shouldnt the websites be so optimized that they should be able to run in normal pc / smartphone rather than s23 is failing to load it. I guess at least bigger companies have that kind of resource for optimization but still not doing it why?

TBH i needed this when i was working on my undergrad thesis with ECC and ECDHA but thanks author for making this. Helped me remember all the fundamentals.

same here. That is why i came to discussion to find out how are people using those.

can it be like perceiving the value is higher making your taste as good as it is the value of it? can it be a placebo effect?

I was thinking like your source of learning, it can be books, tutorial etc. I am not asking for blogs or tutorials made by you

would love to know how? do you have any blogs or tutorials that I can follow to get started on making self evolving ai agents?

I have used Azure AI services whisper model and for some other users Google Gemini 2.5

These worked really great for our usecase where we needed to transcribe from 6 different languages in production

The question and this comment[1] help me narrow down my real question which is

I want to learn enough mathematics that will help me to understand and learn about ML/AI and newer research and furthermore quantum computing.

Is that even possible? If so which topics I can target first? That will help me refactor and rebuild my foundational mathematical knowledge

1. https://news.ycombinator.com/item?id=42933232

I have silly question to anyone here who is willing to answer

I truly understand it takes unreasonable amount of time and dedicated focused effort to get good at something. But why is there any explanation for it? I know about the traditional neuro-sci explanation of myelin[1].

So my question is, is there any research on how to reduce this time? Like we all know life is short and as human we have interest in many things and we should specialize and try to go deep in one craft.But is there any way of getting closed to that master level performance in short practice-perfomance cycle

https://pmc.ncbi.nlm.nih.gov/articles/PMC4261922/

I so much agree with you. I understand and remember the things I learn more when I am having fun or it piqued my curiosity. But I guess shortness of time needs us to focus on the efficiency aspect of it too.

thank you so much. I will look into erlang in anger then

Thank you so much for these resources

Location: Dhaka, Bangladesh (Open to relocation) Remote: Yes (Strongly preferred) Willing to relocate: Yes

Technologies: Java, JavaScript, TypeScript, Spring Boot, Vue.js, AngularJS, Node.js, PostgreSQL, MySQL AWS, Docker

ABOUT: Senior Full-Stack Software Engineer with 5+ years of experience in developing scalable, high-performance applications. Strong background in backend technologies, with a focus on creating robust, user-friendly applications.

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Really intrigued by your comment. Can you please elaborate on the part of meta programming in java. I am trying to learn it in java. What will you suggest to someone who is working in java for a while to dive deep into it?

My blog is https://mohibulsblog.netlify.app/

Nothing too fancy, just a static hugo site on github pages. I mostly write about Java and Javascript. Currently trying to complete my 100DaysOfJava. As its quite a tough thing to make time so trying to read and tinker with the concepts and then write.

The article i am most fond of will be https://mohibulsblog.netlify.app/posts/java/100daysofjava/da...

what resources can you suggest to learn formal verification and implement it to make high integrity fault tolerant services? I am quite intrigued by AdaCore. Want to try it out. I dont know much about Formal Verification.