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$Ferruccio Balestreri \U0001f308$

Ferruccio Balestreri 🌈
@0xferruccio 7 years, 10 months ago 3398 views

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🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links

2⃣ Each page has 1/N points (where N as the total number of pages)

3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links

4⃣ If a page has no links redistribute its points equally among all the other pages

🔁 Repeat until the page points stabilise (what really happens repeating is that at each repetition there's a damping of the redistribution, but that's not easy to understand or explain 😅 but you can imagine it as a "decay" of points being redistributed)

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John Horton
@johnjhorton

What happens when a skill you have becomes obsolete? No, this isn't a R vs. Stata thread---it's a thread about a working paper w/ @sonnytambe!
https://t.co/w6nLf1tnST

The skill we look at is Adobe Flash, which @apple decided to no longer support back in 2010, which in turn caused demand/interest to plummet, as measured on @StackOverflow and in online labor markets, one of which is our empirical context

Despite the big fall-off in Flash jobs posted, very little else appeared to change in the market for Flash skills: wages for Flash jobs didn't fall, jobs didn't become easier to fill & openings weren't inundated with out-of-work Flash programmers

What happened was that (a) new entrants stopped specializing in Flash and (b) at least some existing Flash specialists started moving to other skills. In short, the demand shock quickly became a supply shock

At the level of the individual Flash worker, using a matched sample, we find (a) no fall-off in their wages, (b) some decline on-platform hours-worked. The most-focused on Flash workers had substantial increases in application intensity and a movement towards new skills

Patrick McKenzie
@patio11

Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.

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Luca Hammer
@luca

Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.

Over the last months @mmkaradeniz and I made a new version. We launched it last night:

@accountanalysis doesn't use machine learning or AI „magic“. Instead of telling users if an account is authentic or not, it helps them to evaluate the accounts themselves.

It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1

@accountanalysis The core concept is still the same, but it looks much better and is easier to operate. Not only for the users, but us developers as well. Enabling us to continuously roll out new features in the future.

Side-by-side screenshots of the old and new version. /2

@accountanalysis Some people had questions what different charts displayed and how they could be interpreted. There are now explanations for all charts, that can be toggled on and off at any time. /3

@accountanalysis The selected/retrieved Tweet count moved to the top to make it clear that not all Tweets of an account are analyzed. 3200 is the API limit by Twitter. It's possible to get more through the Premium API, but I don't think people would pay $100+ for the analysis of one account. /4

$Mateusz Czeladka | Plan \u20b3$

Mateusz Czeladka | Pla...
@matiwinnetou

(1) Since some people laugh at Cardano project and it's peer review aspect, let me share a story from work for all of you
(2) There is company called Databricks and they open sourced recently a technology called: https://t.co/gpZyKKiMVD . This technology is super important

(3) In BigData delta allows one to perform DELETE and MERGE operations contrary to Hadoop + Hive where this is not possible, seeking through many partitions finding customer data to remove and then rewriting it is not only expensive as an operation but also very dangerous

(4) This promising technology is something that many companies, which have big data turn into as they need to be GDPR compliant.
(5) I was always reading and accepting all details from their website as given and the "truth"

(6) There is however an amazing Principal Developer at our company that found some of the claims from their website as dubious, e.g. ACID claims on such a distributed file system
(7) It turns out this is not the first time this company advertises something that is simply not true

(8) on another occasion this company made untrue claims about Cassandra database and this then became source of disputes e.g by dr. @martinkl - my fave expert in distributed systems
(9) All professional developers also know of course famous Jepsen tests ->

sumitgarg.eth
@sumitupgarg

I read two-and-a-half decades worth of Jeff Bezos’s Amazon shareholder letters.

It’s like a mini MBA.

Here I’ve pulled out a free guide for startups, investing, marketing, and “web3”🧵

(It’s a thread, not an ebook)

First, why the focus on web3?

It’s the mid 90’s. A 30-year-old Jeff Bezos is trying to raise money for Amazon. And investors are wondering,

“What’s this internet thing?”

Fast forward, the year is 2022, and folks today are wondering,

“What’s web3?”

Now, a little background…

In 1994, Bezos quit a well paying job to start Amazon.

It wasn’t an easy decision. But Bezos used his famous “regret minimization framework.”

In other words, he didn’t want to be 80 and regret not doing what he really wanted to do.

But what did he want?

Bezos didn’t set out to disrupt retail from the outset.

He simply wanted to come up with a business idea based on the internet and then let the internet grow around it while he kept working on it.

Today, that idea is worth $1.7 trillion and counting.

Moving on to the lessons…

Each year since 1997, Bezos has written an annual letter to Amazon shareholders.

These letters reveal a great deal of lessons and secrets behind his massive success.

So what are they?

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Elizabeth May
@_ElizabethMay

This is NONSENSE. The people who take photos with their books on instagram are known to be voracious readers who graciously take time to review books and recommend them to their followers. Part of their medium is to take elaborate, beautiful photos of books. Die mad, Guardian.

Beautifully read: why bookselfies are all over Instagram https://t.co/pBQA3JY0xm
— Guardian Books (@GuardianBooks) October 30, 2018

THEY DO READ THEM, YOU JUDGY, RACOON-PICKED TRASH BIN

If you come for Bookstagram, i will fight you.

In appreciation, here are some of my favourite bookstagrams of my books: (photos by lit_nerd37, mybookacademy, bookswrotemystory, and scorpio_books)

$\u0100yudhika$

Āyudhika
@Satyamev1310

Dr. Anandibai Joshi

Upon her birth on 31 March 1865 she was named Yamuna, after the holy river. Her parents Gunputrao Amritaswar Joshee & Gungabai Joshee came from a long lineage of wealthy landlord family in Kalyan of Bombay Presidency, whose wealth was now waning.

Anandi was the sixth of 10 children, & had 4 brothers (only two of which survived) & five sisters. Her father was particularly fond of her, as she was a bright child with an inquisitive mind. Being an educated man himself, Ganpatrao assured that his daughter was taught Marathi.

As was common practice she was married at a tender age of 9, to Gopalrao Joshi, a 29 year old widower who worked as a postal clerk in the same city. After marriage her husband named her ‘Anandibai’ (which means ‘Joy of my heart’).

Gopalrao was man ahead of his times with reformist ideas & had married Anandibai on the condition that he would be allowed to educate his wife.

He even tried to enroll Anandi in a missionary school, but did not succeed. Despite being the supportive husband, Gopalrao had his flaws.

He was a strict teacher & would sometimes resort to beating if Anandi slacked in her studies.

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Aditya Todmal
@AdityaTodmal

A THREAD ON @SarangSood

Decoded his way of analysis/logics for everyone to easily understand.

Have covered:
1. Analysis of volatility, how to foresee/signs.
2. Workbook
3. When to sell options
4. Diff category of days
5. How movement of option prices tell us what will happen

1. Keeps following volatility super closely.

Makes 7-8 different strategies to give him a sense of what's going on.

Whichever gives highest profit he trades in.

I am quite different from your style. I follow the market's volatility very closely. I have mock positions in 7-8 different strategies which allows me to stay connected. Whichever gives best profit is usually the one i trade in.
— Sarang Sood (@SarangSood) August 13, 2019

2. Theta falls when market moves.
Falls where market is headed towards not on our original position.

Anilji most of the time these days Theta only falls when market moves. So the Theta actually falls where market has moved to, not where our position was in the first place. By shifting we can come close to capturing the Theta fall but not always.
— Sarang Sood (@SarangSood) June 24, 2019

3. If you're an options seller then sell only when volatility is dropping, there is a high probability of you making the right trade and getting profit as a result

He believes in a market operator, if market mover sells volatility Sarang Sir joins him.

This week has been great so far. The main aim is to be in the right side of the volatility, rest the market will reward.
— Sarang Sood (@SarangSood) July 3, 2019

4. Theta decay vs Fall in vega

Sell when Vega is falling rather than for theta decay. You won't be trapped and higher probability of making profit.

There is a difference between theta decay & fall in vega. Decay is certain but there is no guaranteed profit as delta moves can increase cost. Fall in vega on the other hand is backed by a powerful force that sells options and gives handsome returns. Our job is to identify them.
— Sarang Sood (@SarangSood) February 12, 2020

$Ranvijay Singh\U0001f1ee\U0001f1f3$

Ranvijay Singh🇮🇳...
@ranvijayT90

#Thread The legend of Ekadash Mukhi Hanuman ji...

Mahadev himself narrated the story of Ekadash Mukhi Hanuman ji to Maa Parvati. Once a great monster named Kalkarmukh performed the severe penance of Brahma ji.

Pleased with the austerity of the demon, Brahma ji gave him a boon that the person who will have eleven Heads like you and who was born on the day of your birth, only he/she will be able to kill you. No one else will kill you.

After getting a boon from Brahma ji, Kalkarmukh created a ruckus in all three lok. He invaded Swarg and snatched all the rights of the Devtas and became himself the king of Swarg.

All Devtagan came to Shri Rama and asked him for help. Hearing the agony of the Devtagan, Shri Ram called his supreme devotee Hanuman ji and said, "Pawan Putra, Sankatmochan".

Shalini Singh Sengar
@Maverickmusafir

Remembering Colonel Anil Kaul, VrC (Retd) on his 3rd Death Anniversary.

“It was October 12, 1987, exactly 5:55 pm as I was… coming out of the cupola of my T-72 tank on a steamy evening in an unknown place called Kokkuvil in the Jaffna district of Northern Sri Lanka.+

I froze in that confined space at what I saw. An LTTE militant stood at 60 meters aiming his rocket-propelled gun at my tank.

In a flash he fired. Probably having lost his nerve he aimed too low. The projectile hit the left mudguard of the tank, but for some inexplicable reason+

did not explode. It then hit the side of the main gun and then exploded on top of the turret, all in a fraction of a second. Before I knew, it seemed I had received a straight right punch so to say to my chin. I saw some blood appear on my left hand and there was a sharp drop in+

my eyesight.

Lt Colonel (now Lt Gen) Dalbir Singh, then Commanding Officer of 10 Para Commando, who was standing on the engine deck said to me, “Yaar what a close shave.”

He suddenly saw me and the look on his face told me that something was very very wrong with me. In that+

fraction of a second, as if it was a rewind of my entire life, thoughts raced through my life as to how and when I had landed myself in such a situation…

I asked my gunner to pull out a first field dressing (FFD) which is standard equipment in a first aid box carried in each+