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Indian, Love -The Nature,Animal and Sports

[Sniper @avarakai]

So, Pharma lobby was behind CJP.

Interesting. Getting back at the Government for vaccines, probably.

[Rajeev Chandrasekhar 🇮🇳 @RajeevRC_X]

A hero of 2018, 2024 and 2026 is no more.

R. Rajesh of Kalliyoor, Thiruvananthapuram, was a rescue volunteer and rappelling instructor who answered the call of duty whenever Keralam needed him.

He stepped forward during the 2018 floods. He was among the rescuers during the Wayanad landslide tragedy in 2024. And in 2026, he made the ultimate sacrifice.

After giving his own life jacket to save a stranded farmer from the swollen Kariangode River in Kannur, Rajesh was swept away by the currents.

His courage, selflessness and sacrifice will forever be a part of Keralam's story.

My deepest condolences to his wife Smt. Lekshmi, his two young sons Arshan and Abhishek, his parents Shri Rajasekharan and Smt. Geetha, and all those who loved him.

I pray that his family finds the strength to bear this immeasurable loss.

Om Shanti 🙏

[J Gopikrishnan @jgopikrishnan70]

Classic case of high profile cases ending like this. This is the history of the case. This case was one of the biggest coal allocation scam case involving Birla Group, when PM Manmohan Singh was holding charge of Coal Ministry.

Frankly - Bribe was there in this huge Birla Project and we all know where money went and PM Manmohan Singh was a mere signatory.

CBI made only officals as Accused and trial judge Bharat Parashar seeing Manmohan Singh's signature issued summons to him in 2015. That time special trial court was directly under Supreme Court's Coal Scam Bench headed by Justice RM Lodha.

Manmohan Singh (Read his Advocates), cunningly appraoched another Bench of Supreme Court to get Stay Order on summons and not went to concerned Coal Bench headed by Justice Lodha. CBI kept quiet and other Bench gave blanket Stay and the case was stayed from 2015.

Now CBI after 11 years closed the case. This is how high profile corruption cases are hushed up 😎

[Dr. Biohacker @Dr_Biohacker]

A neurologist said:

“Stick out your tongue for 40 seconds — this removes cortisol faster than any pills and breathing exercises.

Big Pharm is panicking:🧵

[Alex Veremeyenko @alex_verem]

Let me trace the timeline here because nobody's connecting it.

Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying.

Step 2: Train a model on all of it. Call it "artificial intelligence."

Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter."

Step 3 is where you sell people's own knowledge back to them. On a meter.

They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created.

One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility."

Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies.

That's the metered intelligence business model.

And they're pitching it to infrastructure investors as though they invented water.

[Dr Deepak Krishnamurthy @DrDeepakKrishn1]

Our country will make real progress when #Education and #Healthcare are given due importance and are reformed drastically. Till then, it will only be big talk.

[Sandeep Mall @SandeepMall]

20% of our machines are stopped today because of shortage of manpower.

[Anish Moonka @anishmoonka]

A male bee mates for less than 5 seconds in midair. The ejaculation is so explosive you can hear it pop from a few feet away. His body rips in half. He falls dead before hitting the ground. And he is one of the lucky males in the hive.

When a male bee, called a drone, chases down a queen mid-flight at speeds of 22 miles per hour, his entire reproductive organ turns inside out. The pressure required for this comes from nearly all the blood in his body, which rushes downward to force the organ outward like a spring. The semen fires into the queen with so much force it makes the audible pop. The organ then snaps off and stays lodged inside her like a cork. As he flips backward off her body, his abdomen rips open. The next drone waiting his turn has to physically yank out the dead male's cork before he can mate. The same thing then happens to him.

The queen does this 12 to 20 times in a single afternoon. She flies up to a spot in the sky that beekeepers call a drone congregation area. Picture an invisible meeting point about 50 to 130 feet above the ground where up to 11,000 male bees from as many as 240 different hives are hovering, waiting for her. These spots stay in the exact same locations year after year, sometimes for over a decade. No one fully understands how brand new drones, born only weeks earlier, find them.

By the end of her mating run, the queen has collected around 100 million sperm cells. She keeps only 5 to 6 million in a tiny internal storage organ that keeps them alive for years. From that supply, she uses just two sperm cells per egg for the rest of her life, laying up to 2,000 eggs a day for 2 to 7 years. After that one afternoon in the sky, she will never mate again.

A 2019 study from UC Riverside, the University of Copenhagen, and the University of Western Australia found that bee semen contains toxic proteins that temporarily blind the queen by interfering with how vision genes function in her brain. If she can't see well, she can't fly out again to mate with more males. Their semen also carries a separate protein that attacks and kills sperm cells from rival drones still inside her. The males keep competing long after every one of them is dead.

The 99.9% of drones who never get to mate have it worse. As autumn arrives, the female worker bees in the hive stop feeding their brothers, then drag them out of the entrance after biting off their wings. The drones can't fly back in. They starve or freeze in the grass within days. The colony raises a fresh batch of disposable males the next spring, and the whole cycle starts over.

[Dr. Priyam Bordoloi @DocPriyamMD]

Me: Tell me some diseases where smoking has a protective/beneficial effect?

Student: But sir, smoking is bad... how can it ever be protective?

Me: Definitely it is bad, should never be encouraged. But medicine is full of paradoxes that we as doctors need to know. Now tell the answer

Silence in the ward

[Sridhar Vembu @svembu]

Once again, my appeal to Indians in America on a visa. Please come home. Even if you feel it is hardship and sacrifice, self-respect should dictate your course. Let's make Bharat proud 🙏

[Akshay Jogani @kshayjogani]

India crossed the credibility threshold today.

ASML doesn't sign training and R&D commitments lightly. They have one of the most disciplined customer selection processes in semicap. Putting institutional weight behind Dholera means they see India as a 20-year fab geography. Honestly, they probably no longer have a choice.

The equipment was always available for purchase - unless you're China. But getting global tier-1s to commit infrastructure, talent and supply chain depth to a country with zero operational 300mm fab history is what is real work. That door is now open and probably what's most exciting from here onwards.

Applied Materials, TEL, Lam, KLA, JSR, TOK and Shin-Etsu will read this announcement the same way. The supplier ecosystem moves once the litho leader commits. Expecting a wave of similar MoUs over the next 12-18 months.

Infact, LAM has already been building a supply chain for the last few months. A few listed companies have already talked about it.

For investors - Building depth on SEMI ecosystem in India will probably earn a lot of fruits!!

[Abhi @_Avykt]

It’s only present gen that blackpills easily, our ancestors were very resilient.

When the plunder of Meenakshi temple in Madurai was imminent, the Pandyas constructed a wall infront of the sanctum sanctorum & placed a decoy linga Infront of it

Kafurs army believing this was the main deity damaged it while the actual deity stayed safe inside

You can see that damaged linga to this day inside meekashi Sundareshwarar Koli

[Luke Barousse @LukeBarousse]

Data Nerds! I ranked every data engineering tool by how often it shows up in 4M+ job postings. 📊

But here's the catch 😳.

Some critical skills show up way less than they should because they're often assumed to be foundational skills for jobs. (e.g., Skills like Bash/Terminal for running pipelines)

Anyway, here's the breakdown of the tiers 👇 (Note: % = how often each tool appears in DE job postings)

🔴 S TIER — Non-Negotiable
The core skills needed for any DE job. Don't apply without these:

📊 SQL (~68%) — every warehouse runs on it. Query, transform, and model data.
🐍 Python (~67%) — the pipeline language. Ingestion, automation, APIs, glue between systems.
⌨️ Terminal/Bash (~11%) — every tool you'll use runs from here. This is highly undervalued in postings.
📁 Git (~11%) — version control. Every team uses it. Same posting-% caveat as Bash.
☁️ One cloud platform + warehouse (~26-46%) — AWS + Redshift, GCP + BigQuery, or Azure + Synapse. Combined cloud presence is in nearly every posting.

Start with SQL, then Python. Everything else you absorb alongside them.

🟠 A TIER — Job-Ready Foundation
The tool that closes the gap from "learning DE" to "hireable for modern stacks":

🪛 dbt (~10%) — only 10% of all DE postings, but 36% in Analytics Engineer (AE) roles.

That's not a niche, it's a leading indicator. AE is the new hybrid role modern data teams are hiring for: part analyst, part engineer.

✅ Land the job with S + A. Pass the interview with conceptual knowledge of B Tier 👇

🟡 B TIER — Interview-Aware
Know what they solve. Don't expect to code from scratch:

⚙️ Airflow (~17%) — orchestration. Built on DAGs (directed acyclic graphs).
⚡ Spark (~38%) — distributed computing for processing large datasets.
🌊 Kafka (~19%) — real-time event streaming between systems.

All these depend on a foundational knowledge of Python & SQL; don't jump the gun learning these.

🟢 C TIER — Data Platform Awareness
Pick the one your company uses. Understand both conceptually:

❄️ Snowflake (~26%) — pure SQL warehouse. Optimized for analytics. Modern-stack favorite.
🧱 Databricks (~24%) — lakehouse on Spark. Handles structured + unstructured. ML/AI heavy teams.

🔵 D TIER — Versatility Multipliers
Lower headline demand, but high value per hour:

📊 Power BI (~15%) / Tableau (~10%) — but the kicker: in AE roles these jump to 28% / 33%.

Modern data teams want pipeline builders who can also visualize. For analysts pivoting to DE, lead with this in interviews.

🟣 E TIER — Path-Dependent
High demand on paper, but concentrated in legacy enterprise stacks. Skip until your job requires it:

☕ Java (~25%) — legacy enterprise data infrastructure
⚖️ Scala (~22%) — Spark's native language. Spark-heavy shops.

🎥 How did I derive this ranking? In my latest video, I walk through the concepts first (the DE lifecycle, what each tool actually solves) and then derive the tiers. (Link in comments 👇)

[J.A Olaoye @JA_Olaoye]

Your tool Box should be equipped as follows as you work towards building as senior Data Engineer.

Data Engineer
│
├── 1. Programming → Build
│ ├── Python
│ ├── SQL
│ └── Scala
│
├── 2. Processing → Transform
│ ├── Apache Spark
│ ├── Databricks
│ └── Apache Flink
│
├── 3. Orchestration → Schedule
│ ├── Apache Airflow
│ ├── Prefect
│ └── Dagster
│
├── 4. Cloud → Host
│ ├── AWS
│ ├── Azure
│ └── Google Cloud Platform (GCP)
│
├── 5. Warehousing → Store
│ ├── Snowflake
│ ├── BigQuery
│ └── Amazon Redshift
│
├── 6. Streaming → Real-time
│ ├── Apache Kafka
│ ├── Amazon Kinesis
│ └── Pub/Sub
│
├── 7. Lakehouse → Modern Storage
│ ├── Delta Lake
│ ├── Apache Iceberg
│ └── Apache Hudi
│
├── 8. DevOps → Deploy & Scale
│ ├── Docker
│ ├── Kubernetes
│ └── Terraform
│
├── 9. Data Quality → Trust
│ ├── Great Expectations
│ ├── dbt
│ └── Monitoring & Validation
│
└── 10. Architecture → Design Everything
├── Data Modeling
├── Pipeline Design
└── System Architecture

[Leddy @LeddyLLC]

If I wanted to reverse insulin resistance without medication, these are the 8 simple things I would do every day to fix it:

1. Walk after meals.

[Vinodsrinivasan @vinodsrinivasan]

Alphabet briefly passed Nvidia by market cap last week. Most coverage will tell you why this is bullish for Google.

Here is what most coverage will miss.

The AI infrastructure boom is being increasingly financed by a circular loop between four hyperscalers and two AI labs. And it has direct implications for Indian IT.

[Aravind @aravind]

I have an intuitive hypothesis. The more time you spend in nature and observing natural things, the more will be your lifespan.

There have been scientific research like "hospital beds with a tree outside the window have lower mortality rates."

The universe wants you to observe itself. The universal consciousness (brahman) uses your consciousness (atman) to enjoy its creations.

So the more time you spend in nature being mindful, observing, and enjoying natural things like plants and animals, the more you will be kept alive.

The universe needs to understand and enjoy itself using itself - that's every conscious being including you. Animals can observe a lot more of nature but they can't appreciate.

So go out everyday to a park and have a mindful walk observing and enjoying nature. Or fill your space with nature and pets to enjoy them. Take some time to do so.

Human creations can also be enjoyed. But they only give second order effects to help you stay alive and healthy.

The best is to be Sir David Attenborough. Travel the world, see and enjoy a lot of nature and natural creations, and live up to a 100 healthy and appreciated by the rest of the universe.

Btw, if you have a doubt about my hypothesis, astronomers who do observational astronomy watching and discovering a lot of celestial objects too tend to live long and healthy lives ;)

[Chidanand Tripathi @thetripathi58]

A researcher who spent his career studying catastrophic failures in aviation, nuclear plants, and tech realized one terrifying truth:

Systems do not fail because a single piece breaks. They fail because they were operating exactly as designed.

His name is Dr. Richard Cook, the man who authored "How Complex Systems Fail." He argued that we obsess over finding the single "root cause" and completely ignore how systems naturally run on the edge of disaster.

Here are 8 operational rules to stop chasing ghosts, build actual resilience, and direct your own reality:

[Balogun Hammed @bhalloinfraguy]

Networking commands every Infrastructure Engineer should know:

ping <host> → Test if a host is reachable
traceroute <host> → Map every hop on the path
dig <domain> → DNS query and resolution
nslookup <domain> → Quick DNS lookup
ss -tlnp → Listening ports on this machine
netstat -an → All connections (older but still useful)
tcpdump -i eth0 → Capture packets on an interface
nc -zv <host> <port> → Test if a port is open
ip a → Local interface info
ip r → Routing table
mtr <host> → Live ping + traceroute combined
curl -I <url> → Check HTTP response headers

Master these and 80% of network troubleshooting becomes faster.

[Eric Smith @Eric_Smith08]

You think you need rest?
Actually, no.
You need to drain cortisol.

Here’s a 7-day protocol, step by step: