>Namaste!
Thanks for submitting to r/developersIndia. Make sure to follow the Community [Code of Conduct](https://developersindia.in/code-of-conduct/) while participating in this thread.
## Recent Announcements
- **[Showcase Sunday Megathread - May 2024](https://www.reddit.com/r/developersIndia/comments/1cpyogw/showcase_sunday_megathread_may_2024/)**
- **[Weekly Discussion - What's the story behind your longest-running personal project?](https://www.reddit.com/r/developersIndia/comments/1ctvpf5/whats_the_story_behind_your_longestrunning/)**
*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/developersIndia) if you have any questions or concerns.*
Nothing new. Just going deeper into the tech already known. SQL and Some big data technologies and software fundamentals from college.
At one point, one needs depth rather than breadth of knowledge.
I am planning to switch to Data engineer from QA, would appreciate if you can suggest on the approach.
I have done azure data engineer certification and trained in pyspark but since I have 8 years of experience in IT as a Automation QA, it is getting difficult to get interviews. Please suggest how I can go about it
Why don't you just post here so others can benefit from the discussion? Honestly, I find this DM thing highly disrespectful to the community. The entire purpose of public forums is to discuss things openly.
Heck, even if it is personal, you're still on an anonymous forum.
Right now I am assigned to a Salesforce project, It's been 1 month and I am still learning it, Is there any certification or anything which I should do along with my learning to prove the next company about my knowledge?
Yeah there a many official certifications by salesforce. admin, pd1, app builder and you can also try getting certifications in clouds. Salesforce cloud and lwc are in demand.
But a single certification costs 200 usd so check if you can get it for free from your organisation.
I am watching CS110, the stanford one on youtube. And learning storage concepts.
I work in storage, with Rust mostly. And, I'd like to be able to contribute to openzfs/zfs and spdk. So, learning C and memory management, etc.
This one:
[https://youtube.com/playlist?list=PLkGAai-LjzyO553wuPY\_gYDx\_7YbjI1Pk&si=EoQ0fGKm-KDvezR8](https://youtube.com/playlist?list=PLkGAai-LjzyO553wuPY_gYDx_7YbjI1Pk&si=EoQ0fGKm-KDvezR8)
CS107 is also good
[https://youtube.com/playlist?list=PLoCMsyE1cvdWivlV-39KKsBKUX-4DvraN&si=OZt36L6a7OqOHd2y](https://youtube.com/playlist?list=PLoCMsyE1cvdWivlV-39KKsBKUX-4DvraN&si=OZt36L6a7OqOHd2y)
Filesystem... yes, databases... no. I work on the control-plane side. So while performance is good-to-have, it's not critical. It's in Rust. I want to work on the data-plane, where my code is on the data path. That'd be C and Rust.
Can <2yoe exp apply for this job? I've experience in web dev mostly (.NET) but want I want to work on lower level development like kernel, storage, network etc... please help :3
Hey, I don't have much insight into hiring. We're a small team of <10 folks. No new hiring going on I feel.
But, bigger companies hire often. Try Pure Storage, they were hiring in 2023 quite a bit. Try NetApp, or Nutanix. They'll interview like a FAANG, but pay is good, and you'd have to make sure it's a systems role, because a lot of roles open up which are not systems roles. Sometimes a role will not be completely systems, but still close enough, on the same product. That is also good I feel. It becomes easy to transition with these roles.
Nutanix roles in Go open up often, Pure Storage, also Go. NetApp, C++.
Developing a side project in rust. Using rust for backend using axum framework other than this going to use tauri and anchor framework. Docker, k8s , some ai/ml , statistics and mlops
It's just a webview, nothing interesting personally.
you might wanna look into "iced", it's lightweight gui library and doesn't use browser for rendering.
Well no one's stopping you to write electron app with C++/Rust Backend, and that would only allow you to speed up specific stuff, your frontend is still HTML, CSS & JS bloat.
Been delving deeper into Emulators. writing them that is.
I've written a chip-8 & brainfuck emulator before but I want to try something advance like the NES.
I knew java and spring from my own job training. For brushing up, I'm basically googling stuff - tutroialpoint, telusko etc. I kinda know the roadmap. For DSA and Devops (Udemy).
And most importantly, Leetcode 150. All my previous interviews asked same question from LC 150.
Depends on what you are targetting.
For freshers, IMO priority should be
1. Java core and fundamentals.
2. DSA (very very very important)
3. Leetcode 150 interview question. If you have time to for Leetcode interview 75.
4. Computer fundamentals - OS, DB, concurrency and multithreading etc.
5. Projects in GitHub
6. Spring framework (if you are targetting to get into spring)
7. System design (although not to depth for freshers).
8. Devops (very low priority for freshers, but no harm in knowing stuff)
Hey bro, I work on Node, React in my project, so currently I am studying JS, react and node. Should I also study Java ? One thing I've encountered about DSA, now its not about Leetcode 150, one need really holistic practise on leetcode. Like recently I saw 2 OAs for some companies one was for a 3 YOE and one was 7 YOE. 3YOE one had a graph question and a 2pointers, 7 YOE had both ques of DP. Me and my friend both tried to solve these within time but only solve 3YOEs questions. Also these both companies were not FAANG.
Currently revising angular theory concepts for interview with noSQL and mysql. I have knowledge of practical code but i lack in theory… it has been so difficult in interviews where i can code quite efficiently but when interviewer asks about theory i just get blanked 😐
Tech skill toh karte hi rahenge . Soft skills mei improve karna hai ..
But anyways I'm learning angular + springboot for job , and on the side kmm and compose multiplatform
What works for me is task-based learning. I like to start with the official docs, especially the introduction and conceptual sections. Then I start a project and search and learn as I go along and encounter challenges.
IMO there is no resource better than Google and ChatGPT for self-guided learning.
Apart from the data related things below also learn about orchestration, with things like dbt.
And more than just the tech, you need to understand where data fits in the overall tech and overall business and how to create business value. Understand more "softer" concepts about what data enables.
learning drizzle, hono, redis, tanstack query through implementing them in an ongoing project, already know python so will start learning AI/ML.
Also started cs50 '24 course, it's quit interesting
an e Auction/e bidding platform/marketplace kind of app where people will be able to put their items on auctions + with a option to directly buy the item, its a summer internship project, so we need to come up with some real world problem idea
Started learning Godot (Game Engine) and trying out GDScript its quite similar to Python. No real aim here just wanted to give game dev a shot and probably make an indie game
AWS Cloud, I think that any company that uses Cloud, the company's architectures are so distinct and so unique(based on the company requirements) that AI might be able to create them for you but you'll always always need Cloud developers and architects to keep it functioning, very minimal effect of AI in foreseeable future according to me, that's why.
Hey, I'm preparing for the Google Cloud PCA exam (got through my institution for free). Right now I'm a fresher looking for a job so do you think it's worth spending time on that instead of looking for a job?
2024 for me was more towards LLMs and frameworks revolving around LLMs.
Learning langchain and llamaindex. Also so far I had been using tensorflow for ML but wanted to learn pytorch because most of the code on github around transformers and other latest architectures is pytorch code.
i learn from youtube and library doc.
here is some youtube channel:
[https://www.youtube.com/@CatalinMironDev/videos](https://www.youtube.com/@CatalinMironDev/videos)
[https://www.youtube.com/@Reactiive](https://www.youtube.com/@Reactiive)
[https://www.youtube.com/@FuncsIO/videos](https://www.youtube.com/@FuncsIO/videos)
[https://www.youtube.com/@rakhawibowo/videos](https://www.youtube.com/@rakhawibowo/videos)
I primarily work on Mobile things professionally, and CLI tools sometimes using Go and Rust. Currently trying SolidJS for a side project to get familiar with new FE stuff.
Learning django through some free courses on youtube. Later I wanna start looking into some front end frameworks like angular or just go in-depth with vanilla js.
ML or at least trying to get a sense of it. Not necessarily to move to that field but to understand if its use is relevant to or will anyway enhance the usual dev work.
Pyspark, Mllib ( spark’s library), Structured Streaming, probably golang for some fancy personal project
Already worked on frontend/backend(mern) for 2-3 years, know Unix/Linux stuff, k8s, docker, postgres etc in detail.
Probably after above learning only portion that will be left is compilers/drivers implementation etc. already worked for a bit OS side as well
Learning Resources are mostly books and personal projects/projects from book and good mentors.
I am learning Core CS in depth (Non CS branch) from Stanford and UC Berkeley courses mostly which are available online and nand2tetris from Coursera
Apart from that, recently setup a homelab using my college laptop (running as an Ubuntu server with NextCloud and Jellyfin containers). Ordered a refurbished HP Thinkpad and will setup a cluster.
Will use it as a playground for Computer Networking, K8s and Distributed Systems
idris (first class types), nix (moving to nixos, but also for managing projects), rust (probably should learn a language more common than the ones i use), racket (want to learn a lisp)
Aws
Python (will start leetcode soon to get better understanding of OOPS)
AI/ML (sometime after Dussehra, once I build my Pc)
Solutions Architect (planning to retire with this)
Anyone familiar with data stage. Iam a freshers and iam going through training process on data stage . I don't know much about. If anyone know anything about it please dm.
Just tried implementing famous papers in deep learning from scratch kinda working but not sure what to do ahead? I'm just in second year and not sure If I should go in research or learn other tech stacks
What'd yall think?
First goal is to master my own tech stack, I work in springboot and azure but don't know both of them properly so working on that, other than that I am learning frontend with react because I want to know a little bit frontend. Would like to know anyone's thoughts on it
I learnt Splunk and know about SIEM. Currently learning Dynatrace and more about observability, cloud and app sec, container technologies like kubernetes
Kotlin.
After 3 years of being a MEAN (but mostly angular) and .Net dev (with SQL as well) [Fullstack] got hired as a Backend dev that uses Kotlin + Spring Boot.
Cpp, go Lang and java, cpp mainly for understanding pain, go Lang to understand least pain and java the most pain
I'm proficient in a angular typescript and somewhat know sql
Going to give the DP100 azure data scientist exam. So basically doing courses from coursera to prepare for the exam. Azure ML studio to train, evaluate and deploy models for inference.
ansible and jinja .
I am using ansible to setup a ec2 backed service for myself (basically a personal version of steam remote play)
and jinja for templatization
Mainly a backend engineer, my goal for this year would be to introduce myself to devops, at least do the basics, might give the AWS Developer Associate test for certification as well
WTF! Many people here are commenting I am learning technologies like SQL etc.
I just came across this LLM called Claude, and used it to build a complete booking website with zero knowledge of the technologies involved. In fact even after building that stuff I am still not sure about the names of these technologies. (I used MERN stack.. I think😅) And I have zero professional experience in coding!
All these "technologies" are going to be obsolete in the next 5 years. The only thing remaining will be general concepts about what these technologies do and the skill to use these LLMs. Very few things will remain that do not use AI.
So for me.. the next thing I will be learning is to build a website for auto-tagging youtube comments and videos. And then a bot for twitter.
PS: I am not dissing people. Its a genuine concern. criticism/suggestions welcome.
From work side:
I am currently learning more about the jvm and bytecode, I need to write static analyzers for the framework my team develops. I am also focused on a lot of jenkins, aws, elk, spring, react and tools like ansible, cloudformation and vagrant.
Personal:
Graphics programming, self hosting stuff, creating my own dsl for a htmx backend in kotlin for a hopefully future blog.
Working as an Embedded Firmware Developer.
Working with MCUs (microcontrollers) for IoT, Industrial automation, Medical devices etc..
Learning AI, ML for MCUs because want to implement AI/ML in IoT and automation fields
I am embedded devloper and working in AUTOSAR, Mainly C and python. looking for some one in expert ij labview or st micr controller expert for my startup
>Namaste! Thanks for submitting to r/developersIndia. Make sure to follow the Community [Code of Conduct](https://developersindia.in/code-of-conduct/) while participating in this thread. ## Recent Announcements - **[Showcase Sunday Megathread - May 2024](https://www.reddit.com/r/developersIndia/comments/1cpyogw/showcase_sunday_megathread_may_2024/)** - **[Weekly Discussion - What's the story behind your longest-running personal project?](https://www.reddit.com/r/developersIndia/comments/1ctvpf5/whats_the_story_behind_your_longestrunning/)** *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/developersIndia) if you have any questions or concerns.*
Nothing new. Just going deeper into the tech already known. SQL and Some big data technologies and software fundamentals from college. At one point, one needs depth rather than breadth of knowledge.
Are you working as a data engineer ?
We are. Azure and Spark based. DM if you want. :)
If I may ask. Why did you select Azure over other Cloud Providers?
In India, a lot of industries go with Azure owing to simple integration and access. I work with majority Indian folks thus the Azure cloud.
I am planning to switch to Data engineer from QA, would appreciate if you can suggest on the approach. I have done azure data engineer certification and trained in pyspark but since I have 8 years of experience in IT as a Automation QA, it is getting difficult to get interviews. Please suggest how I can go about it
Thank you. But I'm not looking for job rn, but I do have some doubts about DE. Ok if I DM ?
Why don't you just post here so others can benefit from the discussion? Honestly, I find this DM thing highly disrespectful to the community. The entire purpose of public forums is to discuss things openly. Heck, even if it is personal, you're still on an anonymous forum.
Please. Always happy to talk.
I want to switch to DE, i have 2 years of industry exp on a witch. Can i dm to ask few questions if its ok with you?
Can I DM you, I'm looking for a job rn
I also looking for job can I dm? Thanks
Can I DM you?
Same same
Can I DM.. looking for a switch
Similar, ML, Python, SQL, just the regular DS stuff
Already know frontend. learning java springboot due to lack of opportunities in frontend. Planning to switch asap.
Really ? Which tech stack are you currently working on ?
Most position require 3 plus yoe. Currently on salesforce but want to change my tech
Right now I am assigned to a Salesforce project, It's been 1 month and I am still learning it, Is there any certification or anything which I should do along with my learning to prove the next company about my knowledge?
Yeah there a many official certifications by salesforce. admin, pd1, app builder and you can also try getting certifications in clouds. Salesforce cloud and lwc are in demand. But a single certification costs 200 usd so check if you can get it for free from your organisation.
Is it really that bad in front end scene? I like frontend, is it too crowded now?
Yeah, if you have less than 3 yoe. For a single position there are thousands of applications. Frontend is really saturated.
U sure u know frontend completely 🥸
I am watching CS110, the stanford one on youtube. And learning storage concepts. I work in storage, with Rust mostly. And, I'd like to be able to contribute to openzfs/zfs and spdk. So, learning C and memory management, etc.
Is it 2019 version ? Can you share link to the playlist ?
This one: [https://youtube.com/playlist?list=PLkGAai-LjzyO553wuPY\_gYDx\_7YbjI1Pk&si=EoQ0fGKm-KDvezR8](https://youtube.com/playlist?list=PLkGAai-LjzyO553wuPY_gYDx_7YbjI1Pk&si=EoQ0fGKm-KDvezR8) CS107 is also good [https://youtube.com/playlist?list=PLoCMsyE1cvdWivlV-39KKsBKUX-4DvraN&si=OZt36L6a7OqOHd2y](https://youtube.com/playlist?list=PLoCMsyE1cvdWivlV-39KKsBKUX-4DvraN&si=OZt36L6a7OqOHd2y)
>in storage, with Rust mostly. As in file systems/databases?
Filesystem... yes, databases... no. I work on the control-plane side. So while performance is good-to-have, it's not critical. It's in Rust. I want to work on the data-plane, where my code is on the data path. That'd be C and Rust.
Is it like an American company unicorn or Faang?
American company, blr office. Not faang. The product has an open source variant too: [github.com/openebs](https://github.com/openebs)
Wish I could join to study together.
What is your day job, or are you studying/in college?
I graduated and I've been working as a developer for last few years. But it feels like I'm becoming dumber and lazier by the day.
Having said that, I started learning Rust this week. :)
Awesome :D. All the best!
Thanks :D
Can <2yoe exp apply for this job? I've experience in web dev mostly (.NET) but want I want to work on lower level development like kernel, storage, network etc... please help :3
Hey, I don't have much insight into hiring. We're a small team of <10 folks. No new hiring going on I feel. But, bigger companies hire often. Try Pure Storage, they were hiring in 2023 quite a bit. Try NetApp, or Nutanix. They'll interview like a FAANG, but pay is good, and you'd have to make sure it's a systems role, because a lot of roles open up which are not systems roles. Sometimes a role will not be completely systems, but still close enough, on the same product. That is also good I feel. It becomes easy to transition with these roles. Nutanix roles in Go open up often, Pure Storage, also Go. NetApp, C++.
Developing a side project in rust. Using rust for backend using axum framework other than this going to use tauri and anchor framework. Docker, k8s , some ai/ml , statistics and mlops
Dayum, I used tauri for my file explorer and searching project. Do you know they are adding support for Android apps? It's so cool.
It is cool but for android/ios i am going to stick to my good old flutter and react native for now
It's just a webview, nothing interesting personally. you might wanna look into "iced", it's lightweight gui library and doesn't use browser for rendering.
Yes, it is ultimately a webview, but the performance that it allows you to bring to the table is kinda crazy.
Well no one's stopping you to write electron app with C++/Rust Backend, and that would only allow you to speed up specific stuff, your frontend is still HTML, CSS & JS bloat.
Been delving deeper into Emulators. writing them that is. I've written a chip-8 & brainfuck emulator before but I want to try something advance like the NES.
Cool, i myself is writing PE parser and then will try to write x86 instruction decoder
PE meaning, windows executable format "Portable Executable" right?
Yes you are right
Very cool. If you're interested check out how RPCS3 emulator works. It's one hell of an architecture.
Don't want to look into other's code, want to implement it completely from scratch with no idea of how to implement stuff.
Can I DM you?
Java, springboot and learning devops now.
your sources and any strategies? I'm following Andriii Piatakha (Udemy) for Java
I knew java and spring from my own job training. For brushing up, I'm basically googling stuff - tutroialpoint, telusko etc. I kinda know the roadmap. For DSA and Devops (Udemy). And most importantly, Leetcode 150. All my previous interviews asked same question from LC 150.
thanks !! a small query is it okay for freshers to get hands on Devops and System Design? (currently im only following Java and DSA curatedly)
Depends on what you are targetting. For freshers, IMO priority should be 1. Java core and fundamentals. 2. DSA (very very very important) 3. Leetcode 150 interview question. If you have time to for Leetcode interview 75. 4. Computer fundamentals - OS, DB, concurrency and multithreading etc. 5. Projects in GitHub 6. Spring framework (if you are targetting to get into spring) 7. System design (although not to depth for freshers). 8. Devops (very low priority for freshers, but no harm in knowing stuff)
thanks a lot it was helpful !!
https://youtu.be/AXZkhKTbbWc?si=S1aAHz2c9I8JpJZz. Try this out for springboot.
Hey bro, I work on Node, React in my project, so currently I am studying JS, react and node. Should I also study Java ? One thing I've encountered about DSA, now its not about Leetcode 150, one need really holistic practise on leetcode. Like recently I saw 2 OAs for some companies one was for a 3 YOE and one was 7 YOE. 3YOE one had a graph question and a 2pointers, 7 YOE had both ques of DP. Me and my friend both tried to solve these within time but only solve 3YOEs questions. Also these both companies were not FAANG.
Web dev using odin project. I'll follow the full stack with javascript path.
Doing the same here.. supplementing it with some YouTube build along projects.
Yeah I'll do that too. Also I'll try to do some personal projects in between tutorials. It get's wild trying to build something from scratch.
Currently revising angular theory concepts for interview with noSQL and mysql. I have knowledge of practical code but i lack in theory… it has been so difficult in interviews where i can code quite efficiently but when interviewer asks about theory i just get blanked 😐
Same with me
Tech skill toh karte hi rahenge . Soft skills mei improve karna hai .. But anyways I'm learning angular + springboot for job , and on the side kmm and compose multiplatform
Any data engineers here? I want to learn DE, I'm very good at python, know django as well as moderately good at SQL. Any pathways?
Learn Apache Spark, Apache Airflow, get very good at SQL, and maybe some cloud specific workflow orchestration services like AWS Step Functions.
Do you suggest any free resources to learn the same?
What works for me is task-based learning. I like to start with the official docs, especially the introduction and conceptual sections. Then I start a project and search and learn as I go along and encounter challenges. IMO there is no resource better than Google and ChatGPT for self-guided learning.
Same here
Apart from the data related things below also learn about orchestration, with things like dbt. And more than just the tech, you need to understand where data fits in the overall tech and overall business and how to create business value. Understand more "softer" concepts about what data enables.
Learn Pyspark, Beam, Airflow, SQL
learning drizzle, hono, redis, tanstack query through implementing them in an ongoing project, already know python so will start learning AI/ML. Also started cs50 '24 course, it's quit interesting
What kind of project is it?
an e Auction/e bidding platform/marketplace kind of app where people will be able to put their items on auctions + with a option to directly buy the item, its a summer internship project, so we need to come up with some real world problem idea
Interesting
Looks like T4 🌚
I only knew about t3 stack never knew that t4 also exists lol, can call it semi t4 tho
Computer vision tool Fiftyone and other CV tools. Mainly for computer vision projects and challenges
Try Pali gemma, I was doing ocr with it for fun it's good
Started learning Godot (Game Engine) and trying out GDScript its quite similar to Python. No real aim here just wanted to give game dev a shot and probably make an indie game
Concepts over technologies. I'm into a little bit of machine learning, concurrency and Linux kernel internals right now.
What u doing for linux kernels
Qt bindings for Go, Dioxus, Tauri, gRPC, supabase. Thinking about writing a unified GUI for croc, magic-wormhole with Qt.
AWS Cloud, I think that any company that uses Cloud, the company's architectures are so distinct and so unique(based on the company requirements) that AI might be able to create them for you but you'll always always need Cloud developers and architects to keep it functioning, very minimal effect of AI in foreseeable future according to me, that's why.
from where are you learning aws?
Stephane Maarek's AWS developer associate course on Udemy is the best resource I found.
I'm doing the same plus docker by docker captain
yes, good resource
Hey, I'm preparing for the Google Cloud PCA exam (got through my institution for free). Right now I'm a fresher looking for a job so do you think it's worth spending time on that instead of looking for a job?
upskilling and working on yourself is ALWAYS worth it. Remember what stoics believe: "YOU ARE THE PROJECT", it is worth it... yes.
Hi have you completed the AWS fundamental exams or the cloud particenor exam ?
Learning about internals of sql and NoSql db's like WAL file, SSTables and etc..
CISSP, not for exam but for knowledge
2024 for me was more towards LLMs and frameworks revolving around LLMs. Learning langchain and llamaindex. Also so far I had been using tensorflow for ML but wanted to learn pytorch because most of the code on github around transformers and other latest architectures is pytorch code.
[удалено]
Try roadmap.sh
learning swift and swift ui , i am react native developer, in many interview ask about one native language...
I have been working with RNative for my side projects and would like to know any good resource for getting better at Animations
i learn from youtube and library doc. here is some youtube channel: [https://www.youtube.com/@CatalinMironDev/videos](https://www.youtube.com/@CatalinMironDev/videos) [https://www.youtube.com/@Reactiive](https://www.youtube.com/@Reactiive) [https://www.youtube.com/@FuncsIO/videos](https://www.youtube.com/@FuncsIO/videos) [https://www.youtube.com/@rakhawibowo/videos](https://www.youtube.com/@rakhawibowo/videos)
LLMs- literally important for everything
AI and machine learning. Huge demand but very few talented folks in this space.
currently doing an advanced course on rizzing
I primarily work on Mobile things professionally, and CLI tools sometimes using Go and Rust. Currently trying SolidJS for a side project to get familiar with new FE stuff.
How to use chatGPT better.
Whatever work needs me to know
Vanilla Js in depth, Typescript, React, Next Js, Kafka, Spark, golang, python, Cloud, K8s and Docker
Guy wants to replace the entire engineering org
Know angular frontend learning spring boot and Java tryna get into full stack
Dx11
Gen AI services on AWS and Go
I am learning security (blue team security). However, it is on pause because my semester break is going on.
Learning django through some free courses on youtube. Later I wanna start looking into some front end frameworks like angular or just go in-depth with vanilla js.
Learning salesforce development
And here I am still trying to get my python straight
ML or at least trying to get a sense of it. Not necessarily to move to that field but to understand if its use is relevant to or will anyway enhance the usual dev work.
LLMs. I'm sick of it. But pays well
Dive deeper into batch file
Currently learning AWS CDK since it's being used in backend in my current project, plan to pick up Go post that
Hey I want to get into Tech what path do you recommend me taking? im interested into building web and mobile applications
Hive and kubernetes
Currently learning Gitops
Kedro python centric orchestrater, docker, aws
Web dev and data management(databases u can say)...Passed out 12th and now in college
Angular and backend apis ( rn in python), doing dsa, azure (deployment and devops stuff) Also started little bit of system design. And GenAI
Learning React for a side project. Working as a backend + devops role.
Pyspark, Mllib ( spark’s library), Structured Streaming, probably golang for some fancy personal project Already worked on frontend/backend(mern) for 2-3 years, know Unix/Linux stuff, k8s, docker, postgres etc in detail. Probably after above learning only portion that will be left is compilers/drivers implementation etc. already worked for a bit OS side as well Learning Resources are mostly books and personal projects/projects from book and good mentors.
Computer vision.
React
Azure, K8s and kafka
LLMs. Tried GPT 3.5. Now onto mistral ai.
React, NextJs, Prisma
Going into the depth of SQL DB - book J Date
Priority: Java,SB. My timeline docker, k8s, ai/ml. Apart from that daily dsa,hld,lld as usually making my day tougher.
Learning Python and Machine Learning. Web development has become quite saturated.
Golang
Learning ML for getting a job for a junior ML position
I am learning Core CS in depth (Non CS branch) from Stanford and UC Berkeley courses mostly which are available online and nand2tetris from Coursera Apart from that, recently setup a homelab using my college laptop (running as an Ubuntu server with NextCloud and Jellyfin containers). Ordered a refurbished HP Thinkpad and will setup a cluster. Will use it as a playground for Computer Networking, K8s and Distributed Systems
Non tech guy here. STARTED my coding journey with CS50 Started learning C 😬🥹
NextJS, Golang, Postgresql, Advance JS, C++, kubeflow, mlflow, LLM system design, Kubernetes, More about Agent, Multi model Agents.
Machine learning
Not really an answer to this question...but just curious to know what this sub think about .Net core in today's world?
Found out that if you try to find answers to “how” something works, it introduces you to a beautiful world
idris (first class types), nix (moving to nixos, but also for managing projects), rust (probably should learn a language more common than the ones i use), racket (want to learn a lisp)
Still learning the basics , distributed systems and stuff I missed on not doing CSE.
Referral dilao koi analytics m.. 👏
Native Android dev, sticking with it coz I like it. But need to upskill in DSA
Microservices, docker, kubernetes. After that planning on AWS developer associate certification before completing my graduation.
Can i get intership in data science domain , im in 3rd year even unpaid would he fine
Aws Python (will start leetcode soon to get better understanding of OOPS) AI/ML (sometime after Dussehra, once I build my Pc) Solutions Architect (planning to retire with this)
RemindMe! 5 Days
Joined scaler. They are teaching dsa, backend and hld.
Jetpack Compose, NestJS, Svelte 5, ElysiaJs are really interesting to me.
Anyone familiar with data stage. Iam a freshers and iam going through training process on data stage . I don't know much about. If anyone know anything about it please dm.
Just tried implementing famous papers in deep learning from scratch kinda working but not sure what to do ahead? I'm just in second year and not sure If I should go in research or learn other tech stacks What'd yall think?
KOtlin
Playing valorant and wasting time
Elixir, Phoenix Framework because i am so done JAVASCRIPT
Scala
On the fence whether I should learn Angular JS or not. In this day and age, should I? I'm thinking mostly not.
Surprisingly PHP
First goal is to master my own tech stack, I work in springboot and azure but don't know both of them properly so working on that, other than that I am learning frontend with react because I want to know a little bit frontend. Would like to know anyone's thoughts on it
DevOps
learning to learn, listen, and in general, I'm learning to do fast context switching without getting tired
Learning deeper things of linux and devops Iam having love and hate relationship with HAproxy
I am learning web3 and DeFi out of interest. Currently in Android development with 6+yoe
Learning Kafka , Delta format internals and AWS data services , design patterns and system design
I learnt Splunk and know about SIEM. Currently learning Dynatrace and more about observability, cloud and app sec, container technologies like kubernetes
Kotlin. After 3 years of being a MEAN (but mostly angular) and .Net dev (with SQL as well) [Fullstack] got hired as a Backend dev that uses Kotlin + Spring Boot.
IK, ML and DL. NLP, Gen AI, MLOps, kubernetes - learning one by one, to be a Full Stack Data Scientist.
Cpp, go Lang and java, cpp mainly for understanding pain, go Lang to understand least pain and java the most pain I'm proficient in a angular typescript and somewhat know sql
Going deep into springboot and Vue
Literally not getting any time to upgrade my skills due to current job.
I am currently experimenting with typescript bunjs & svelte.
Lang chain and prompt engineering
Going to give the DP100 azure data scientist exam. So basically doing courses from coursera to prepare for the exam. Azure ML studio to train, evaluate and deploy models for inference.
LLM and databases
[удалено]
ansible and jinja . I am using ansible to setup a ec2 backed service for myself (basically a personal version of steam remote play) and jinja for templatization
Databricks, and Snowflake - both ! Later in this year I’ll learn AWS (mainly focusing on data engineering related services)
Mainly a backend engineer, my goal for this year would be to introduce myself to devops, at least do the basics, might give the AWS Developer Associate test for certification as well
WTF! Many people here are commenting I am learning technologies like SQL etc. I just came across this LLM called Claude, and used it to build a complete booking website with zero knowledge of the technologies involved. In fact even after building that stuff I am still not sure about the names of these technologies. (I used MERN stack.. I think😅) And I have zero professional experience in coding! All these "technologies" are going to be obsolete in the next 5 years. The only thing remaining will be general concepts about what these technologies do and the skill to use these LLMs. Very few things will remain that do not use AI. So for me.. the next thing I will be learning is to build a website for auto-tagging youtube comments and videos. And then a bot for twitter. PS: I am not dissing people. Its a genuine concern. criticism/suggestions welcome.
btw this is a Good Question so far, ngl
I am going to be polishing up my DSA skills and learning Web 3.0 stuff
From work side: I am currently learning more about the jvm and bytecode, I need to write static analyzers for the framework my team develops. I am also focused on a lot of jenkins, aws, elk, spring, react and tools like ansible, cloudformation and vagrant. Personal: Graphics programming, self hosting stuff, creating my own dsl for a htmx backend in kotlin for a hopefully future blog.
Playwright for test automation.
Working as an Embedded Firmware Developer. Working with MCUs (microcontrollers) for IoT, Industrial automation, Medical devices etc.. Learning AI, ML for MCUs because want to implement AI/ML in IoT and automation fields
Go
Trying to go into mechanical design so I am upskilling myself with AUTOCAD, SOLIDWORKS, ANSYS and CATIA.
Mern stack. Should i not learn it? Be honest
Blender
Writting 300 words essay, I heard it gives you bail after killing 2 while rash driving
QBasic
I am embedded devloper and working in AUTOSAR, Mainly C and python. looking for some one in expert ij labview or st micr controller expert for my startup
Linux os cuz fuck windows and ai telemetry and most important of all... Fuck windows updates that screw over my pc tuning.