Saturday, February 9, 2019

Twid Feb 10 2019: Gemini, Stablecoin, BrightBytes, Turing, world war I restored,githistory

This is a post detailing some stuff I did, learned, posted and tweeted this week, I call this TWID (This week in Denis). I am doing this mostly for myself... a kind of an online journal so that I can look back on this later on. Will use the label TWID for these



This Week I Learned


Continued reading the book The Annotated Turing: A Guided Tour Through Alan Turing's Historic Paper on Computability and the Turing Machine by Charles Petzold

Technically this didn't happen this week, but I decided to blog about it this week: After 20+ years in IT .. I finally discovered this...

This Week I Tweeted

Microsoft buys BrightBytes DataSense to bring more data analytics to schools

BrightBytes, based in San Francisco, is an education data-analytics company and has been a Microsoft partner for years. In addition to the DataSense data-integration platform it is selling to Microsoft, BrightBytes will continue to sell its decision-support platform called Clarity which uses machine learning and predictive analytics. 

Microsoft is planning to integrate DataSense into its Microsoft Education product family. According to Microsoft, DataSense is "the leading IPaaS (integration platform as a service) solution for both education solution providers and school districts across the US."

I don't know much about this company.. but it's the data and analytics that is valuable... companies like this one are getting snapped up left and right


Winklevoss Exchange Gemini Shuts Down Accounts Over Stablecoin Redemptions

In one instance, email correspondence obtained by CoinDesk shows an OTC trader based in Latin America had his account closed after he informed Gemini that he planned to redeem several million dollars of GUSD. (A major cryptocurrency exchange, speaking on condition of anonymity, attested to the desk’s professionalism and reported that it was in good standing.)

So you can deposit money but don't you dare take it out........


Python Developers Survey 2018 Results 

Python usage as a main language is up 5 percentage points from 79% in 2017 when Python Software Foundation conducted its previous survey.

Half of all Python users also use JavaScript. The 2018 stats are very similar to the 2017 results. The only significant difference is that Bash/Shell has grown from 36% in 2017 to 45% in 2018. Go and SQL have also grown by 2 percentage points each, while many other languages such as C/C++, Java, and C# have lost their share.

In 2018 we had significantly more respondents specifying they’re involved in DevOps (an increase of 8% compared to 2017). In terms of Python users using Python as their secondary language, DevOps has overtaken web development.

The use of Python 3 continues to grow rapidly. According to the latest research in 2017, 75% were using Python 3 compared with 25% for Python 2. Use of Python 2 is declining as it’s no longer actively developed, doesn’t get new features, and its maintenance is going to be stopped in 2020.


See all the other interesting fact on the jetbrains site


Githistory
This is pretty cool.. point any public github file here and you can see the last 8  or so commits by scrolling from the top  here is what @BrentOzarULTD  sp_foreachdb changes look like ...

It looks like this

So for any file, just replace github.com in the url with githistory.xyz

For example.. the stuff in red needs to be replaced

https://github.com/BrentOzarULTD/SQL-Server-First-Responder-Kit/blob/dev/sp_foreachdb.sql
https://githistory.xyz/BrentOzarULTD/SQL-Server-First-Responder-Kit/blob/dev/sp_foreachdb.sql

Just hit this link to see it

https://githistory.xyz/BrentOzarULTD/SQL-Server-First-Responder-Kit/blob/dev/sp_foreachdb.sql

Some cool stuff you might enjoy

List of stories set in a future now past

This is a dynamic list and may never be able to satisfy particular standards for completeness. You can help by expanding it with reliably sourced entries.
This is a list of fictional stories that, when written, were set in the future, but the future they predicted is now present or past. The list excludes works that were alternate histories, which were composed after the dates they depict. The list also excludes contemporary or near-future works (e.g. set within a year or two), unless it deals with some notable futuristic event as with the 2012 phenomenon. It also excludes works where the future is passively mentioned and not really depicting anything notable about the society, as with an epilogue that just focuses on the fate of the main characters. Entries referencing the current year may be added if their month and day were not specified or have already occurred.

Some from the year 2019... Akira, Blade Runner, Dark Angel



How Peter Jackson’s team made World War I footage look new

“I thought, ‘Can we actually make this 100-year-old footage look like it was shot now?’” Jackson said on the latest episode of Recode Decode with Kara Swisher. “So it’s sharp, it’s clear, it’s stable, it looks like modern [films].”

And he had the means to do that: Over the past five years, Jackson tasked Park Road Post (a subsidiary of his production company WingNut Films) with adding color and sound to the archive footage, as well as making the frame rate consistent and similar to what we’d expect from footage shot today. The result is the new documentary “They Shall Not Grow Old,” which he said removes the “barrier between us and the actual people that were being filmed.”

This is some amazingly looking stuff... here is a video so you can see what it looks like






Build 2019 registration opens on February 27th 

Join us in Seattle for Microsoft’s premier event for developers. Come and experience the latest developer tools and technologies. Imagine new ways to create software by getting industry insights into the future of software development. Connect with your community to understand new development trends and innovative ways to code.

Wondering what new stuff they will announce


The Chemical Brothers: Setting Sun (1996)
Haven't heard Setting Sun for a while, it's an excellent running song, I have added it to my running playlist on my phone

Setting Sun is a song by The Chemical Brothers with vocals by Noel Gallagher from the group Oasis. It was released as a single in 1996 from their second album Dig Your Own Hole and reached number one on the UK Singles Chart.





 Took this on my way to the Princeton Junction train station... beautiful morning colors

  Princeton Winter Wonderland

Monday, February 4, 2019

TWID Feb 3rd 2019, Huawei stealing, billion solar panels, big puzzle, beethoven, kodak

This is a post detailing some stuff I did, learned, posted and tweeted this week, I call this TWID (This week in Denis). I am doing this mostly for myself... a kind of an online journal so that I can look back on this later on. Will use the label TWID for these



This Week I Learned

Continued with the Getting Started with Docker Swarm Mode Pluralsight course

Started reading the book The Annotated Turing: A Guided Tour Through Alan Turing's Historic Paper on Computability and the Turing Machine by Charles Petzold


This Week I Tweeted

Huawei is accused of attempting to copycat a T-Mobile robot, and the charges read like a comical spy movie

The US on Monday charged the Chinese phone giant Huawei with trying to steal trade secrets from T-Mobile, among other crimes.
One Justice Department indictment includes internal emails between Huawei's US and Chinese employees who prosecutors said were trying to copy a T-Mobile device-testing robot.
The emails read like a comical spy movie, with one set of employees trying to avoid wrongdoing and another engineer getting caught putting part of the robot into his bag.
Huawei said that it hasn't violated any US laws and that it already settled with T-Mobile in a civil lawsuit.

What the heck is going on here?


How Do You Count Every Solar Panel in the U.S.? Machine Learning and a Billion Satellite Images

The DeepSolar Project, developed by engineers and computer scientists at Stanford University, is a machine learning framework that analyzes a dataset of satellite images in order to identify the size and location of installed solar panels.

To accurately count the panels, the DeepSolar team used a machine learning algorithm to analyze more than a billion high-resolution satellite images. The algorithm identified what the team believes to be almost every solar power installation across the contiguous 48 states.

The DeepSolar analysis reached a total of 1.47 million solar installations in the U.S., a much higher number than either of the two most commonly cited estimates.

“We can use recent advances in machine learning to know where all these assets are, which has been a huge question, and generate insights about where the grid is going and how we can help get it to a more beneficial place,” said Ram Rajagopal, associate professor of civil and environmental engineering, who supervised the project with Arun Majumdar, professor of mechanical engineering.

This is cool..but do they really need to use a billion images.. can't they use a subset and come pretty close to the real answer as well?


40x faster hash joiner with vectorized execution

For the past four months, I’ve been working with the incredible SQL Execution team at Cockroach Labs as a backend engineering intern to develop the first prototype of a batched, column-at-a-time execution engine. During this time, I implemented a column-at-a-time hash join operator that outperformed CockroachDB’s existing row-at-a-time hash join by 40x. In this blog post, I’ll be going over the philosophy, challenges, and motivation behind implementing a column-at-a-time SQL operator in general, as well as some specifics about hash join itself.

In CockroachDB, we use the term “vectorized execution” as a short hand for the batched, column-at-a-time data processing that is discussed throughout this post.

I love it when you see drastic speed improvements like this, I remember one time when we upgraded some hardware to use SSDs and more RAM.. a reporting query that took a minute now finished in less than a second.. I thought the results were wrong because it finished too fast lol


Some cool stuff you might enjoy


Kodak Premium Puzzle Presents: The World's Largest Puzzle 51,300 Pieces 27 Wonders from Around The World 28.5 Foot x 6.25 Foot Jigsaw Puzzle 

That is 8.68 meters wide for the metric people....aka 1 big white shark length



I don't always listen to classical music.. but when I do.. I make sure it's played on an electric guitar, enjoy this piece of Ludwig van Beethoven - Moonlight Sonata ( 3rd Movement ) by Tina S


Sunday, January 27, 2019

TWID Jan 27th, Salah, SSMS emoji, franz josef, mourning stamps,american gods season 2, PostgreSQL

This is a post detailing some stuff I did, learned, posted and tweeted this week, I call this TWID (This week in Denis). I am doing this mostly for myself... a kind of an online journal so that I can look back on this later on. Will use the label TWID for these



This Week I Learned


Continued with the Getting Started with Docker Swarm Mode Pluralsight course
Finished A History of Japan by R.H.P. And J. G. Caiger Mason


Did you know, you can use emojis in output from SSMS?


More info, including the code to run can be found here: Did you know, you can use emojis in output from SSMS?


This Week I Tweeted


Why are glasses so expensive? The eyewear industry prefers to keep that blurry

It’s a question I get asked frequently, most recently by a colleague who was shocked to find that his new pair of prescription eyeglasses cost about $800. Why are these things so damn expensive? The answer: Because no one is doing anything to prevent a near-monopolistic, $100-billion industry from shamelessly abusing its market power. Prescription eyewear represents perhaps the single biggest mass-market consumer ripoff to be found. The stats tell the whole story.

Totally agree




The Internals of PostgreSQL for database administrators and system developers

In this document, the internals of PostgreSQL for database administrators and system developers are described.

PostgreSQL is an open source multi-purpose relational database system which is widely used throughout the world. It is one huge system with the integrated subsystems, each of which has a particular complex feature and works with each other cooperatively. Although understanding of the internal mechanism is crucial for both administration and integration using PostgreSQL, its hugeness and complexity prevent it. The main purposes of this document are to explain how each subsystem works, and to provide the whole picture of PostgreSQL.

This document is based on the second part of the book I wrote in Japanese in 2012 (ISBN-13: 978-4774153926) which is composed of seven parts, and covers version 11 and earlier.

Contents 

What are you wating for.. start reading.....


Since we are talking about PostgreSQL.....


I am thrilled to announce that we have acquired Citus Data, a leader in the PostgreSQL community. Citus is an innovative open source extension to PostgreSQL that transforms PostgreSQL into a distributed database, dramatically increasing performance and scale for application developers. Because Citus is an extension to open source PostgreSQL, it gives enterprises the performance advantages of a horizontally scalable database while staying current with all the latest innovations in PostgreSQL. Citus is available as a fully-managed database as a service, as enterprise software, and as a free open source download.

Since the launch of Microsoft’s fully managed community-based database service for PostgreSQL in March 2018, its adoption has surged. Earlier this month, PostgreSQL was named DBMS of the Year by DB-Engines, for the second year in a row. The acquisition of Citus Data builds on Azure’s open source commitment and enables us to provide the massive scalability and performance our customers demand as their workloads grow.

Together, Microsoft and Citus Data will further unlock the power of data, enabling customers to scale complex multi-tenant SaaS applications and accelerate the time to insight with real-time analytics over billions of rows, all with the familiar PostgreSQL tools developers know and love.

That's pretty cool..hopefully they will leave the team alone and not do a FoxPro type move.....  But since Ballmer is not in charge anymore, I have faith

The bucket contained 21 files containing 23,000 pages of PDF documents stitched together — or about 1.3 gigabytes in size. Diachenko said that portions of the data in the exposed Elasticsearch database on Wednesday matched data found in the Amazon S3 bucket, confirming that some or all of the data is the same as what was previously discovered. Like in Wednesday’s report, the server contained documents from banks and financial institutions across the U.S., including loans and mortgage agreements. We also found documents from the U.S. Department of Housing and Urban Development, as well as W-2 tax forms, loan repayment schedules and other sensitive financial information.


This is really, really messed up


Google Search Operators: The Complete List (42 Advanced Operators)

Did you know that Google is constantly killing useful operators?
That’s why most existing lists of Google search operators are outdated and inaccurate.
For this post, I personally tested EVERY search operator I could find.

Here is a complete list of all working, non‐working, and “hit and miss” Google advanced search operators as of 2018.

All you need to step up your Google Fu






Some cool stuff you might enjoy


Austro-Hungarian emperor Franz Josef defaced

Franz Joseph defaced....

See more info here: The revenge of Yugoslavia on Bosnian stamps of 1906

If you are interested in philately, see also, why do some of these stamps have black perforations?


Took this pic of Liverpool player Mo Salah mural near time square

Mo Salah ...   Larger Than Life



American Gods | Season 2 Official Trailer

 

 Can't wait to watch that, have watched season I and have also read the book last year