Claude Code overview - Claude Code Docs Claude Code is an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. Available in your terminal, IDE, desktop app, and browser.

How to write Claude.md files.

now days agentic coding is default. and this article put insights into this :
www.humanlayer.dev/blog/writing...

#learninpublic #claude

Day 65 of learning AI/ML

I studied Statistics & Probability
@khanacademy Unit9

• Mean of sum & difference
• Variance of sum & difference
• Why independence matters for variance
• Combining random variables
• Sum of normal distributions

#LearnInPublic #AI #ML

Distributed Services with Go Master the techniques, tools, and tricks that skilled Go programmers use every day.

🧵 took up a new challenge building "Distributed Services with Go" by @travisjeffery.bsky.social

following the book, writing as I learn and sharing what my curious mind finds along the way...

pragprog.com/titles/tjgo/distributed-services-with-go/

#golang #distributedsystems #learninpublic #sre

wow! your database doesn't store state, it stores a log of events. state is just what you get when you replay it.

so, etcd does this every time a new Kubernetes node joins, it replays the log to catch up to current cluster state.

#golang #kubernetes #learninpublic

Which Mutex to use in Go Let's understand this with log structure example. A commit log is just an append-only slice // at its heart, this is all a log is type Log struct { records []string } func (l *Log) Append(reco...

which Mutex should you use in Go?

None? or sync.Mutex or sync.RWMutex, the answer comes from one question: who is touching this data concurrently?

wrote about how to reason through it 👇
ashwiniag.com/which-mutex-to-use-in-go/

#golang #distributedsystems #buildinpublic #learninpublic

was working on a string problem in Go and hit this quietly

len("café") returns 5, not 4.
len() counts bytes, not characters. é is 2 bytes in UTF-8.

use len([]rune(s)) when you actually want character count.
the small things that matter in prod.

#golang #go #learninpublic

Day 64 of learning AI/ML

I studied Statistics & Probability
@khanacademy Unit8

• Discrete vs continuous random variables
• Probability distributions
• Mean, variance & standard deviation
• Probability density functions
• Probabilities from density curves

#LearnInPublic #AI #ML

building an Asteroids clone with Pygame from @bootdotdev

never even played the game before but it's pretty cool and I'm making solid progress

the Python classes? not much trouble. the math and complex game logic? 👀

#Python #Pygame #LearnInPublic #100DaysOfCode #bootdev

studying polymorphism on @bootdotdev today ✨

was having issues with operator overloading and comparison when ranks were the same, but my __lt__ function now has the correct logic

so progress 🐍

#Python #LearnInPublic #bootdev #100DaysOfCode

Day 98 to 100 of #100DaysOfcode

- gone through cloud code leaks repo. understand how they work their routes, structure and all.
- then prepped for nodejs
- work on my personal project, which is to quickly store something that came to my mind.

#LearnInPublic #nodejs

Day 63 of learning AI/ML

I studied Statistics & Probability
@khanacademy Unit 8

• Intro to combinations
• Combination formula (nCr)
• Handshaking problems
• Using combinations in probability

#LearnInPublic #AI #ML

Day 62 of learning AI/ML

I studied Statistics & Probability
@khanacademy Unit 8

• Counting outcomes using tree diagrams
• Factorials & permutations (incl. 0!)
• Arrangement problems (seats, letters, colors)
• Counting selections (e.g. picking officers)

#LearnInPublic #AI #ML

Day 96, 97 of #100DaysOfcode

- understanding promises, event loops, redis in nodejs
- try out something new : practice Japanese in duolingo

#LearnInPublic #nodejs

Day 61 of learning AI/ML

I studied Probability
@khanacademy - Unit 7

• Dependent probability
• Independent vs dependent events
• Coin examples
• General multiplication rule

#LearnInPublic #AI #ML

Day 60 of learning AI/ML

I studied Probability
@khanacademy Unit 7
• Sample spaces for compound events
• Independent events & their probabilities
• Compound probability
• "At least one" success problems
• Real examples (dice, test, free throws)

#LearnInPublic #AI #ML

Day 93 to 95 of #100DaysOfcode

- solving coding problems from the prep book
- worked on gsoc proposals
- explored my wanderlust traveling website and work on fixing bugs in them.

#LearnInPublic #gsoc #bugfixes

Day 68 of #100DaysOfCode - Lots of CSS tweaking and worked on the homepage and about pages for my portfolio. Started the RAG and vector databases section of the Fullstack Path. #LearnInPublic

Day 67 of #100DaysOfCode. Did more work on my case studies for my portfolio and finished the NextJS course from Scrimba's Fullstack Path. #LearnInPublic

Day 66 of #100DaysOfCode
More work on my portfolio. Added MDX and created some components for my case studies. Worked on my case studies. Refactored some components. Also did a bit of work on the NextJS course. #LearnInPublic

Day 65 of #100DaysOfCode. Worked on portfolio - refactoring CSS - updated typography, colors, layouts, and spacing.
Did a few lessons for the NextJS portion of The FullStack Career Path.
#LearnInPublic

Day 59 of learning AI/ML

I studied Probability
@khanacademy Unit 7

• Theoretical vs experimental probability
• Making predictions using probability
• Simulations & randomness
• Using random digits/numbers for experiments
• Statistical significance of results

#LearnInPublic #AI #ML

Day 58 of learning AI/ML

I studied Probability
@khanacademy - Unit 7

• Union & intersection of sets
• Difference (relative complement)
• Universal set & complement
• Subset, strict subset, superset
• Combining set operations

#LearnInPublic #AI #ML

We have a neighborhood store that uses the Wix store features, so helping set up inventory, a loyalty program, and a new POS system using Wix has been a great experience. #LearnInPublic #Volunteering

Day 57 of learning AI/ML

I studied Probability
@khanacademy Unit 7

• Intro to theoretical probability
• Sample spaces & subsets
• Coin flips & dice probabilities
• Simple events
• Intuition behind probability
• Monty Hall problem

#LearnInPublic #AI #ML

Software Engineering Splits in Three "AI-assisted coding changes the game for enterprises by shifting the bottleneck from coding to judgment, impacting software builds and roles."

This article give me insights on how the current software field is taking shape. and how i can mend around it.

from Matteo Collina 's "Adventures In Nodeland".
#learninpublic

Software Engineering Splits in Three adventures.nodeland.dev/archive/soft...

Day 92 of #100DaysOfcode

- worked on my project.

#LearnInPublic

Day 56 of learning AI/ML

I studied Statistics
@khanacademy Unit 6

• Observational studies vs experiments
• Identifying appropriate study types
• Intro to experiment design
• Matched pairs design
• Principles of experiments

#LearnInPublic #AI #ML

It's image of the problem that solved. problem statemetn : Implment alogrithm to determine if a string has all unique character. I first used brute force approach, like using nested loops so my time complexy went n squuare. then i use js SET() method so my time complexity went O(n)

Today I worked on solving a specific array coding problem from the 'Cracking the coding interview' book

#LearnInPublic

Day 55 of learning AI/ML

What I studied Statistics
@khanacademy Unit 6

• Statistical vs non-statistical questions
• Population vs sample
• Bias in surveys & undercoverage
• Correlation ≠ causation
• Random sampling & fair selection methods

#LearnInPublic #AI #ML

Day 91 of #100DaysOfcode

- work on my side project. setup basic backend. and work on how i'll design the website ( backend) what features to add.

#LearnInPublic