Vishal Mahto (@vishal8_m) 's Twitter Profile
Vishal Mahto

@vishal8_m

Software Engineer@Graebert India | C++ | STL | Data Strcuture and Algorithm | Multithreading | OOPS | Design Pattern | Git | Cmake | Python

ID: 1480075348536561665

linkhttps://linktr.ee/vishal_28m calendar_today09-01-2022 07:14:10

432 Tweet

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Ivan Velichko (@iximiuz) 's Twitter Profile Photo

Build, Boot, and Network Your Own Virtual Labs 🧪 Fire up a bunch of Linux VMs, connect them into a LAN network, and then use the resulting sandbox env to launch anything - from a single Docker container, to a Kubernetes cluster, to a swarm of AI agents. iximiuz.com/en/posts/iximi…

Build, Boot, and Network Your Own Virtual Labs 🧪

Fire up a bunch of Linux VMs, connect them into a LAN network, and then use the resulting sandbox env to launch anything - from a single Docker container, to a Kubernetes cluster, to a swarm of AI agents.

iximiuz.com/en/posts/iximi…
atul (@atullchaurasia) 's Twitter Profile Photo

The Roadmap I Followed to Learn AI/ML (My Personal Learning) this is the exact path I followed: stats - basic stats, hypothesis testing, t-test, f-test, z-test, chi-square, ANOVA, correlation and covariance distributions - normal, bino, poisson probability - bayes theorem

Abhishek (@abhi__br) 's Twitter Profile Photo

Its actually, (Basics) html -> css -> js/ts ->(Backend) node.js -> express -> (Frontend) react -> tailwind -> nextjs -> shadcn -> (DB) MongoDB -> Postgres -> Prisma -> (DevOps) Linux -> Nginx -> AWS EC2,S3 -> Redis,Docker -> Kubernetes -> (AI) LLM sdks -> Fine tuning ->

Karan🧋 (@kmeanskaran) 's Twitter Profile Photo

maths/stats -> python -> pandas -> numpy -> matplotlib -> mysql -> scikit-learn -> xgboost -> pytorch -> transformers -> sbert -> -> fastapi -> dvc -> mlflow -> pyspark -> docker -> airflow -> ultralytics -> spacy -> opencv -> langchain -> qdrant ur a full-stack ml engineer now

Ivan Velichko (@iximiuz) 's Twitter Profile Photo

Learning Containers From The Bottom Up 🔽 - Linux Containers: low-level impl - Images: what they are and why you need them - Managers: how Docker makes containers coexist on a single host - Orchestrators: how Kubernetes coordinates containers in clusters iximiuz.com/en/posts/conta…

Learning Containers From The Bottom Up 🔽

- Linux Containers: low-level impl
- Images: what they are and why you need them
- Managers: how Docker makes containers coexist on a single host
- Orchestrators: how Kubernetes coordinates containers in clusters

iximiuz.com/en/posts/conta…
Mohit Mishra (@chessman786) 's Twitter Profile Photo

Modern C++ (cpp) Concurrency A series of videos to help users get started with C++ concurrency in modern cpp. Discussion of thread-based concurrency, locks, async, promises, futures, and atomics at a minimum will be discussed.

Modern C++ (cpp) Concurrency
A series of videos to help users get started with C++ concurrency in modern cpp. Discussion of thread-based concurrency, locks, async, promises, futures, and atomics at a minimum will be discussed.
Ivan Velichko (@iximiuz) 's Twitter Profile Photo

To understand Container Networking, you need to learn Linux networking first! Docker and Kubernetes, under the hood, heavily rely on OS-level virtualization - in particular, network namespaces and virtual Ethernet devices (veth). 🧪 Here are two simple, practical problems to

To understand Container Networking, you need to learn Linux networking first!

Docker and Kubernetes, under the hood, heavily rely on OS-level virtualization - in particular, network namespaces and virtual Ethernet devices (veth).

🧪 Here are two simple, practical problems to
Julia Furst Morgado (@juliafmorgado) 's Twitter Profile Photo

Day 1 of 30 Days of OTel! #Observability is something I’ve been curious about for a long time, but never really gone deep into. So I’m spending the next 30 days learning #OpenTelemetry in public and sharing everything in this GitHub repo: github.com/juliafmorgado/…

Day 1 of 30 Days of OTel!

#Observability is something I’ve been curious about for a long time, but never really gone deep into.

So I’m spending the next 30 days learning #OpenTelemetry in public and sharing everything in this GitHub repo: github.com/juliafmorgado/…
Mohit Mishra (@chessman786) 's Twitter Profile Photo

Memory Systems: Cache, DRAM, Disk have a hard copy of this, some of the chapters are very well explained and in detail i liked chapter 4 alot (Management of Cache Consistency)

Memory Systems: Cache, DRAM, Disk
have a hard copy of this, some of the chapters are very well explained and in detail

i liked chapter 4 alot (Management of Cache Consistency)
Mohit Mishra (@chessman786) 's Twitter Profile Photo

Paging Basics: How Logical Addresses Map to Physical Memory Here's the core of virtual memory in action. The CPU spits out a logical address split into a page number 'p' and offset 'd'. That page number indexes into the page table, which holds the frame number 'f' where the

Paging Basics: How Logical Addresses Map to Physical Memory
Here's the core of virtual memory in action. The CPU spits out a logical address split into a page number 'p' and offset 'd'. That page number indexes into the page table, which holds the frame number 'f' where the
Ashish Pratap Singh (@ashishps_1) 's Twitter Profile Photo

10 Must-Know Graph Algorithms for Coding Interviews: 1. Depth First Search (DFS) 2. Breadth First Search (BFS) 3. Topological Sort 4. Union Find 5. Cycle Detection 6. Connected Components 7. Bipartite Graphs 8. Flood Fill 9. Minimum Spanning Tree 10. Shortest Path - Dijkstra,

10 Must-Know Graph Algorithms for Coding Interviews:

1. Depth First Search (DFS)
2. Breadth First Search (BFS)
3. Topological Sort
4. Union Find
5. Cycle Detection
6. Connected Components
7. Bipartite Graphs
8. Flood Fill
9. Minimum Spanning Tree
10. Shortest Path - Dijkstra,