IamOzansson🐧🇫🇮

This is my journey. #Peace #stopwar #DevOps #Kubernetes #Linux

[IamOzansson🐧🇫🇮 @PenguinnPower]

If you want to learn Python methods, here’s my flood. It’s brief and in plain language. I’ll share examples in the following days. 🐍 #Python

[IamOzansson🐧🇫🇮 @PenguinnPower]

Today, I’m going to flood you all with Python methods that are essential for junior-level fellows!

[IamOzansson🐧🇫🇮 @PenguinnPower]

@Bolognafc1909 Senyor Domenico Tedesco. You have a really good coach. 💛💙💛💙

[Akshay 🚀 @akshay_pachaar]

Train your own LLM from scratch.

This repo builds a GPT-style transformer from the ground up, without using any high-level libraries.

You see exactly how attention, multi-head attention, the feed-forward block, embeddings, residuals, and layer norm fit together.

And it doesn't stop at the model. It walks the whole path from raw data to generated text.

↳ Data download, preprocessing, training, and generation
↳ Training data from The Pile (825GB across 22 sources)
↳ Tokenized with tiktoken (r50k_base) and stored in HDF5
↳ Training loop with eval, LR decay, and crash-safe checkpoints
↳ An SFT and RLHF guide for what comes after pretraining

The same code scales by changing a few config values. Around 13M parameters is where the output starts producing correct grammar and spelling, and you can train that in about a day on a free Colab or Kaggle T4.

If you've ever wanted to actually see how a transformer works instead of importing one, this is a clean place to start.

Link to the repo in the comments.

Interested in ML/AI Engineering? Check my FREE AI engineering Guidebook with 380+ pages (downloaded over 80k times, link below)

[IamOzansson🐧🇫🇮 @PenguinnPower]

@davidgpeterson @ProtonVPN Thanks for the game. I wish the best for Australia and Turkiye to the rest of the world cup games.

[IamOzansson🐧🇫🇮 @PenguinnPower]

@Bolognafc1909 Good luck coach. We’ll support Bologna because of Domenico Tedesco. 💛💙💛💙

[IamOzansson🐧🇫🇮 @PenguinnPower]

My laptop was hitting 83°C just from a few browser tabs. Turns out three small changes fixed everything. I wrote about what I found and what surprised me most.

https://t.co/T6QtpKJHz2

[Eficode @Eficode]

Ray Pohjanheimo joins Pinja on #DevOpsSauna to explore how AI is reshaping #UX design — and why #vibecoding alone won’t create great user experiences.

Hear how teams can combine AI with human-centered thinking:
https://t.co/7eEj168KRr

[IamOzansson🐧🇫🇮 @PenguinnPower]

@bcherny Wish you would visit Helsinki/Finland!

[yourclouddude @yourclouddude]

Learn AWS the way RECRUITERS want 🚀

[freeCodeCamp.org @freeCodeCamp]

If you're looking for a fun project to help you practice your coding skills, this course is for you.

You'll use Next.js, Tailwind CSS, & MongoDB to build a ticketing app.

Your app will be able to assign and track issues, enable collaboration, and more.

https://t.co/NcIXTAW19J

[IamOzansson🐧🇫🇮 @PenguinnPower]

Attended the @DevOpsFinland meetup tonight hosted by @smartlyio , joint event with Kubernetes Finland.

Two talks

1. Secured AWS access from baremetal Kubernetes (Smartly)

2. Running and scaling vLLM on Kubernetes (ConfidentialMind)

Thanks @smartlyio for the hospitality!

[IamOzansson🐧🇫🇮 @PenguinnPower]

🇫🇮🇫🇮🇫🇮

[Neo Kim @systemdesignone]

Big-O notation in 2 mins or less:

→ Big O tells how much slower the code gets as the input increases.

→ There are best, average, and worst cases for a specific algorithm.

→ Plus, there are Big Os for time, memory & storage efficiency.

→ Big O helps to understand which data structures or algorithms have better performance.

→ Big O shows the growth rate and not the actual speed, so it's crucial to test the input data.

What else would you add?

[IamOzansson🐧🇫🇮 @PenguinnPower]

@bedriyan0 @claudeai @ClaudeDevs @cerebral_valley Congrats @bedriyan0 !

[yourclouddude @yourclouddude]

Python simplified for you 🚀

[yourclouddude @yourclouddude]

PYTHON was never this EASY to understand!!

[Amazon Web Services @awscloud]

The job you'll have in two years doesn't exist yet — and that's the opportunity.

Matt Garman, CEO at AWS, on why AI agents are redefining how enterprises build, ship, and grow: the businesses that lean in now are the ones that will move faster, build better, and reach more customers.

[freeCodeCamp.org @freeCodeCamp]

PostgreSQL can do a lot more than store relational data.

In this article, Aaron shows you how to use it as a cache, job queue, search engine, and pub/sub layer using built-in features.

You’ll also learn when Postgres is enough and where specialized tools still win out.

https://t.co/D254wm92OB

[Tom Dörr @tom_doerr]

System design primer with detailed architecture diagrams

https://t.co/23mOZFpyjQ

[Yoshik @AskYoshik]

https://t.co/iYuYhEBANm

[Ayaan 🐧 @twtayaan]

Git Skills for DevOps 📂

The 9 core domains and the commands you need:

▶️ Branching & Flow Strategy:
→ Trunk-based Development: Merging small, frequent updates to main to avoid "merge hell."
→ Gitflow: Managing feature, develop, and release branches for strict release cycles.
→ Protected Branches: Enforcing PR reviews and passing CI checks before any merge.

▶️ History Management:
→ git rebase -i: Squash 10 messy "WIP" commits into 1 clean feature commit.
→ git cherry-pick: Pull a specific security patch from one branch to another without merging the whole history.
→ git commit --amend: Fix the last commit message or add forgotten files without a new commit.

▶️ Disaster Recovery:
→ git reflog: The "black box" recorder. Use it to recover "deleted" branches or lost commits.
→ git reset --hard: Return your local environment to a known good state when a rebase goes wrong.
→ git revert: Create a new commit that "undoes" a previous one—the safe way to rollback in production.

▶️ Advanced Collaboration:
→ Git Hooks: Scripts in .git/hooks that block commits if they contain secrets or fail linting.
→ Submodules: Linking specific versions of external repos inside your project to manage dependencies.
→ Bisect: Using binary search to find exactly which commit introduced a bug in a complex codebase.

▶️ Remote Operations:
→ git remote -v: List the remote repositories you are tracking.
→ git fetch --prune: Clean up local references to branches that were deleted on the remote.
→ git push --force-with-lease: The "safer" force push that won't overwrite someone else's work.

▶️ Stashing & Patching:
→ git stash pop: Bring back temporary work you moved aside to switch branches.
→ git diff --staged: See exactly what is about to be committed before you hit enter.
→ git show: View the specific changes and metadata of a single commit.

▶️ Tagging & Versioning:
→ git tag -a v1.0.0: Create a signed point in history for a production release.
→ Semantic Versioning: Using Major.Minor.Patch logic to communicate change impact.
→ git push --tags: Send your release markers to the remote server.

▶️ Logging & Auditing:
→ git log --graph --oneline: Visualize the branching and merging history of the project.
→ git blame: See who changed which line of code and in what commit.
→ git shortlog -sn: Summarize the number of commits per author to see contributions.

▶️ Optimization & Cleanup:
→ git gc: Manually trigger the "garbage collector" to optimize the local database.
→ .gitignore: Prevent heavy binaries or environment secrets from ever entering the repo.
→ git clean -fd: Remove untracked files and directories to reset your workspace.