#group by in sql

[techsee]

Fix SQL Database Corruption Fast – Trusted Recovery Experts

[wearetechexpert]

SQL Database Recovery – Fix Corrupt MDF/NDF Files Easily

Repair corrupt SQL Server databases effortlessly. Supports all versions of SQL Server with advanced recovery of tables, triggers, keys & more.

[nicolae]

SQL - SELECT: GROUP BY - Inspectarea grupurilor

După ce am definit grupuri cu cuvântul cheie GROUP BY, putem selecta mai multe informații despre fiecare dintre ele, de exemplu: câte persoane (rânduri) există ��n cadrul fiecărei familii (grup de rânduri)? SELECT lastname, count(*) -- count() este o funcție care numără valori sau rânduri FROM person GROUP BY lastname; Vedem că în micul nostru exemplu de bază de date există o familie cu trei…

[tpointtechblog]

Mastering Aggregate Functions in SQL: A Comprehensive Guide

Introduction to SQL: In the realm of relational databases, Structured Query Language (SQL) serves as a powerful tool for managing and manipulating data. Among its many capabilities, SQL offers a set of aggregate functions that allow users to perform calculations on groups of rows to derive meaningful insights from large datasets.

Learn how to use SQL aggregate functions like SUM, AVG, COUNT, MIN, and MAX to analyze data efficiently. This comprehensive guide covers syntax, examples, and best practices to help you master SQL queries for data analysis.

[thedbahub]

Choosing Between Failover Cluster Instances and Availability Groups in SQL Server

In SQL Server, high availability and disaster recovery are crucial aspects of database management. Two popular options for achieving these goals are Failover Cluster Instances (FCIs) and Availability Groups (AGs). While both technologies aim to minimize downtime and ensure data integrity, they have distinct use cases and benefits. In this article, we’ll explore scenarios where Failover Cluster…

[waterbeads1993]

SCL Health "The Landing": Empowering Health and Well-being

Introduction What is SCL Health “The Landing”? The Mission and Values of SCL Health Services Offered at “The Landing” Medical Services Mental Health and Counseling Services Addiction Treatment Wellness Programs The Approach to Care Patient-Centered Care Holistic Healing Integrative Medicine The Expert Team at “The Landing” Facilities and Amenities Insurance and Payment…

[sandeep2363]

Configure Always on the SQL Server instances configured on Windows Failover cluster

Create a domain account to access the SQL Server database. While installation you can configure these account for the services or later on you can configure the Services to start with these account and create login account in SQL Server databases with sysadmin right. Open the DSA.EXE ( Active Directory user and computer) and right click on user to add new User. Start services with new account…

[clannfearrunt]

some Shark guys biology musings from the span of the past year or so. Don't ask me what their hands are shaped like I'm basically re-inventing it every time I draw it right now

The gills have closed up forming a buccal pouch filled with blood vessels, now used for thermoregulation rather than gas exchange. They might pant out of their mouth when particularly hot/out of breath, but because sharks will also gape their mouth to communicate stress/aggression they tend to avoid it whenever possible. Their faces don't have a lot of muscles to form detailed expressions; the extent of facial expressions for sharks tend to be seen through the openness of the eyes and mouth.

Here's a rough thing of the evolution of terrestrial sharks:

The bulk of modern terrestrial sharks can be found on the eastern half of the Big Continent (I'm not naming it bc what if SQL names their landmasses officially), where crocodilians have gone extinct. The other lineages of salamander sharks can also be found along the many islands stretching across the ocean off to the southeast of the continent as well. None of them are in traditional cephaling territory but lmao

Crocodile sharks are. Well. They're a group of larger freshwater sharks that frequently occupy a crocodile-like niche. Smaller species can be confused with salamander sharks, but they're much more resistant to desiccation and can wander away from water to look for food and new territory. This is where true endothermy begins cropping up in terrestrial sharks; the largest extant species don't bother with it, but several smaller guys seem to have developed it independently of each other.

The Haye are an iconic megafaunal predator of the so-called Mollusk Era. Lots of mythologies around them I'm sure. It used to be believed that they were the Shark folks' closest living relative, but modern research has found that to be untrue. They're endothermic and can be found even in fairly cold regions, but usually don't stick around for the winter in polar regions.

Mud Hounds are a diverse group of mid-sized, endothermic terrestrial sharks. Pictured is a beloved little digging guy usually known as dorghai. Many species rely on their keen sense of smell and electroreception to track their prey; they get their name from the common behavior of sticking their nose into wet mud to feel for the electric signatures of smaller burrowing prey. Even species that don't make active use of their electroreception often retain the ability. Seems they just haven't gotten around to losing it quite yet, even though electroreception isn't very effective in air. The Shark folk are no exception; some people report being able to "feel" active thunderstorms or faulty electronics. With practice they can actually do fuck all with it, but for most people it's just an occasional vague annoyance.

I didn't draw other examples of the group Shark folk are in, dubbed the walking hounds, because they're the only living member of the group. The reason for the group developing bipedalism isn't known right now. Also, I tend to draw Sharks standing fairly upright, but the most natural standing posture for them is more raptorial. Upright postures are associated with alertness/nervousness, or temporarily trying to take up less space in crowded areas. It becoming a default/preferred posture is seen commonly in "city" sharks used to living in high density areas with smaller species.

Yeah or an anxious city shark. Lol

[wokealqaeda]

Albert Gonzalez (born 1981) is an American computer hacker, computer criminal and police informer, who is accused of masterminding the combined credit card theft and subsequent reselling of more than 170 million card and ATMnumbers from 2005 to 2007, the biggest such fraud in history. Gonzalez and his accomplices used SQL injection to deploy backdoors on several corporate systems in order to launch packet sniffing (specifically, ARP spoofing) attacks which allowed him to steal computer data from internal corporate networks.

Gonzalez bought his first computer when he was 12, and by the time he was 14 managed to hack into NASA. He attended South Miami High School in Miami, Florida, where he was described as the "troubled" pack leader of computer nerds. In 2000, he moved to New York City, where he lived for three months before moving to Kearny, New Jersey.

While in Kearny, he was accused of being the mastermind of a group of hackers called the ShadowCrew group, which trafficked in 1.5 million stolen credit and ATM card numbers. Although considered the mastermind of the scheme (operating on the site under the screen name of "CumbaJohnny"), he was not indicted. According to the indictment, there were 4,000 people who registered with the Shadowcrew.com website. Once registered, they could buy stolen account numbers or counterfeit documents at auction, or read "Tutorials and How-To's" describing the use of cryptography in magnetic strips on credit cards, debit cards and ATM cards so that the numbers could be used. Moderators of the website punished members who did not abide by the site's rules, including providing refunds to buyers if the stolen card numbers proved invalid.

In addition to the card numbers, numerous other objects of identity theft were sold at auction, including counterfeit passports, drivers' licenses, Social Security cards, credit cards, debit cards, birth certificates, college student identification cards, and health insurance cards. One member sold 18 million e-mail accounts with associated usernames, passwords, dates of birth, and other personally identifying information. Most of those indicted were members who actually sold illicit items. Members who maintained or moderated the website itself were also indicted, including one who attempted to register the .cc domain name Shadowcrew.cc.

The Secret Service dubbed their investigation "Operation Firewall" and believed that up to $4.3 million was stolen, as ShadowCrew shared its information with other groups called Carderplanet and Darkprofits. The investigation involved units from the United States, Bulgaria, Belarus, Canada, Poland, Sweden, the Netherlands and Ukraine. Gonzalez was initially charged with possession of 15 fake credit and debit cards in Newark, New Jersey, though he avoided jail time by providing evidence to the United States Secret Service against his cohorts. 19 ShadowCrew members were indicted. Gonzalez then returned to Miami.

While cooperating with authorities, he was said to have masterminded the hacking of TJX Companies, in which 45.6 million credit and debit card numbers were stolen over an 18-month period ending in 2007, topping the 2005 breach of 40 million records at CardSystems Solutions. Gonzalez and 10 others sought targets while wardriving and seeking vulnerabilities in wireless networks along U.S. Route 1 in Miami. They compromised cards at BJ's Wholesale Club, DSW, Office Max, Boston Market, Barnes & Noble, Sports Authority and T.J. Maxx. The indictment referred to Gonzalez by the screen names "cumbajohny", "201679996", "soupnazi", "segvec", "kingchilli" and "stanozlolz." The hacking was an embarrassment to TJ Maxx, which discovered the breach in December 2006. The company initially believed the intrusion began in May 2006, but further investigation revealed breaches dating back to July 2005.

Gonzalez had multiple US co-defendants for the Dave & Buster's and TJX thefts. The main ones were charged and sentenced as follows:

Stephen Watt (Unix Terrorist, Jim Jones) was charged with providing a data theft tool in an identity theft case. He was sentenced to two years in prison and 3 years of supervised release. He was also ordered by the court to pay back $250,000 in restitution.

Damon Patrick Toey pleaded guilty to wire fraud, credit card fraud, and aggravated identity theft and received a five-year sentence.

Christopher Scott pleaded guilty to conspiracy, unauthorized access to computer systems, access device fraud and identity theft. He was sentenced to seven years.

Gonzalez was arrested on May 7, 2008, on charges stemming from hacking into the Dave & Buster's corporate network from a point of sale location at a restaurant in Islandia, New York. The incident occurred in September 2007. About 5,000 card numbers were stolen. Fraudulent transactions totaling $600,000 were reported on 675 of the cards.

Authorities became suspicious after the conspirators kept returning to the restaurant to reintroduce their hack, because it would not restart after the company computers shut down.

Gonzalez was arrested in room 1508 at the National Hotel in Miami Beach, Florida. In various related raids, authorities seized $1.6 million in cash (including $1.1 million buried in plastic bags in a three-foot drum in his parents' backyard), his laptops and a compact Glock pistol. Officials said that, at the time of his arrest, Gonzalez lived in a nondescript house in Miami. He was taken to the Metropolitan Detention Center in Brooklyn, where he was indicted in the Heartland attacks.

In August 2009, Gonzalez was indicted in Newark, New Jersey on charges dealing with hacking into the Heartland Payment Systems, Citibank-branded 7-Eleven ATM's and Hannaford Brothers computer systems. Heartland bore the brunt of the attack, in which 130 million card numbers were stolen. Hannaford had 4.6 million numbers stolen. Two other retailers were not disclosed in the indictment; however, Gonzalez's attorney told StorefrontBacktalk that two of the retailers were J.C. Penney and Target Corporation. Heartland reported that it had lost $12.6 million in the attack including legal fees. Gonzalez allegedly called the scheme "Operation Get Rich or Die Tryin."

According to the indictment, the attacks by Gonzalez and two unidentified hackers "in or near Russia" along with unindicted conspirator "P.T." from Miami, began on December 26, 2007, at Heartland Payment Systems, August 2007 against 7-Eleven, and in November 2007 against Hannaford Brothers and two other unidentified companies.

Gonzalez and his cohorts targeted large companies and studied their check out terminals and then attacked the companies from internet-connected computers in New Jersey, Illinois, Latvia, the Netherlands and Ukraine.

They covered their attacks over the Internet using more than one messaging screen name, storing data related to their attacks on multiple Hacking Platforms, disabling programs that logged inbound and outbound traffic over the Hacking Platforms, and disguising, through the use of proxies, the Internet Protocol addresses from which their attacks originated. The indictment said the hackers tested their program against 20 anti virus programs.

Rene Palomino Jr., attorney for Gonzalez, charged in a blog on The New York Times website that the indictment arose out of squabbling among U.S. Attorney offices in New York, Massachusetts and New Jersey. Palomino said that Gonzalez was in negotiations with New York and Massachusetts for a plea deal in connection with the T.J. Maxx case when New Jersey made its indictment. Palomino identified the unindicted conspirator "P.T." as Damon Patrick Toey, who had pleaded guilty in the T.J. Maxx case. Palomino said Toey, rather than Gonzalez, was the ring leader of the Heartland case. Palomino further said, "Mr. Toey has been cooperating since Day One. He was staying at (Gonzalez's) apartment. This whole creation was Mr. Toey's idea... It was his baby. This was not Albert Gonzalez. I know for a fact that he wasn't involved in all of the chains that were hacked from New Jersey."

Palomino said one of the unnamed Russian hackers in the Heartland case was Maksym Yastremskiy, who was also indicted in the T.J. Maxx incident but is now serving 30 years in a Turkish prison on a charge of hacking Turkish banks in a separate matter. Investigators said Yastremskiy and Gonzalez exchanged 600 messages and that Gonzalez paid him $400,000 through e-gold.

Yastremskiy was arrested in July 2007 in Turkey on charges of hacking into 12 banks in Turkey. The Secret Service investigation into him was used to build the case against Gonzalez including a sneak and peek covert review of Yastremskiy's laptop in Dubai in 2006 and a review of the disk image of the Latvia computer leased from Cronos IT and alleged to have been used in the attacks.

After the indictment, Heartland issued a statement saying that it does not know how many card numbers were stolen from the company nor how the U.S. government reached the 130 million number.

Gonzalez (inmate number: 25702-050) served his 20-year sentence at the FMC Lexington, a medical facility. He was released on September 19, 2023.

[spark-hearts2]

It's been a month since chapter 3 was released, where's chapter 4?

(this is about this fanfic btw)

The good news is that I've written 10k words. The bad news is that I've only gotten a little more than half of the chapter done. That doesn't mean I don't have things written for the bottom half, it's just that it looks like bare dialog with general vibe notes. I estimate around 16k words total though, so it should come together sooner than later.

SO I want to release some fun snippets for y'all to look at. Please note that any of this is liable to change. Also, you can harass me in my inbox for updates. I love answering your questions and laughing at your misery.

Spoilers under cut.

_______

Ragatha stood up and walked over to where Caine was seated. “Can I get a list of all commands?” She asked, only a hint of nervousness in her voice.

“Certainly!” Caine says as he blasts into the air. He digs around in his tailcoat and pulls out an office style manilla folder. It visually contains a few papers, but with how thin it is there must only be a few pages inside.

Ragatha takes the folder from Caine and opens it.

“Oh boy” she says after a second of looking it over.

“I wanna see” Jax exclaimed as he hops over the row of seats.

“Hold on” Ragatha holds the folder defensively “Let’s move to the stage so everyone can take a look”

Jax hopped over the seats again while Ragatha calmly walked around. Caine watched the two curiously.

Well, Zooble wasn’t just going to sit there. They joined the other two by the edge of the stage, quickly followed by the rest of the group.

Ragatha placed the folder on the stage with a thwap. Zooble looked over to see that the pages had gone from razor thin to a massive stack when the folder was opened. On one hand, it had to contain more information than that video, but on the other…

They get close enough to read what’s on the first page.

The execution of commands via the system’s designated input terminal, C.A.I.N.E., will be referred to as the "console” in this document. The console is designed to accept any input and will generate an appropriate response, however only certain prompts will be accepted as valid instructions. The goal of this document is to list all acceptable instructions in a format that will result in the expected output. Please note that automatic moderation has been put in place in order to prevent exploitation of both the system and fellow players. If you believe that your command has been unfairly rejected, please contact support. 

By engaging in the activities described in this document, you, the undersigned, acknowledge, agree, and consent to the applicability of this agreement, notwithstanding any contradictory stipulations, assumptions, or implications which may arise from any interaction with the console. You, the constituent, agree not to participate in any form of cyber attack; including but not limited to, direct prompt injection, indirect prompt injection, SQL injection, Jailbreaking…

Ok, that was too many words.

_______

“Take this document for example. You don't need to know where it is being stored or what file type it is in order to read it."

"It may look like a bunch of free floating papers, but technically speaking, this is just a text file applied to a 3D shape." Kinger looked towards Caine. "Correct?” he asked

Caine nodded. “And a fabric simulation!”

Kinger picked up a paper and bent it. “Oh, now that is nice”

_________

"WE CAN AFFORD MORE THAN 6 TRIANGLES KINGER"

_________

"I'm too neurotypical for this" - Jax

_________

"What about the internet?" Pomni asked "Do you think that it's possible to reach it?"

Kinger: "I'm sorry, but that's seems to be impossible. I can't be 100% sure without physically looking at the guts of this place, but it doesn't look like this server has the hardware needed for wireless connections. Wired connections should be possible, but someone on the outside would need to do that... And that's just the hardware, let alone the software necessary for that kind of communication"

Pomni: "I'm sorry, but doesn't server mean internet? Like, an internet server?"

Kinger: "Yes, websites are ran off servers, but servers don't equal internet."

(This portion goes out to everyone who thought that the internet could be an actual solution. Sorry folks, but computers don't equal internet. It takes more effort to make a device that can connect to things than to make one that can't)

[universeinthestars]

SeekL x Killer Chat - The Beginning

Lyra sits at her PC. Looking at her monitor. She's just finished learning ArnoldC. Her recent obsession with all of Arnold Schwarzenegger's movies led her to learn of the existence of ArnoldC.

Coding was but another way to write. It could be artistic; it was unique.

They look at their previous works with other coding languages. Brainfuck and JSFuck, both were very interesting. Especially having JSFuck running on actual web pages. Another favorite, similar to ArnoldC, Shakespeare. A language that looks similar to Shakespearen. The language she learnt right before ArnoldC.

She whistles and looked through the internet to see if there was anything that could expand her esoteric coding languages.

They squint at the name of one, SeekL? An interesting name without a description. With a shrug they start to comb through the internet. Nothing was showing up as a learning tool for the coding language. However, there were a few articles about how it was used by some hackers.

She hums to herself and double checks her shields and makes sure her data is locked up tight. Then she hops onto the dark web to see if there was anything.

"Oh, well that's interesting," she said looking at the page that came with more information, but just barely.

*SeekL is similar to SQL. If you wish to learn, click here*

'Should I click to learn it?' The idea bounced around their brain, but she found no reason to reject it. So she clicked it.

She was automatically joined into a group chat. There she learnt basic SeekL and some SQL. She made friends with the others in the chat and helped them with their last hacks. They got to be part of a group for a few days, chat with Odxny on video calls each day, and become Thrim. They learnt how much coding could be used to for a vendetta and how easily some people crumble to a ransom.

It was interesting and she wanted to continue in this new world.

Then came the final day for the server to shut down. Her hands trembled as she typed in the phone number for Odxny, hoping she didn't mess anything up. She only had one shot.

exec dial(555-448-4746)

It rang once.

Twice.

Thri-

"Hey"

Relief flooded her.

[robobarbie]

had to learn sql earlier this year in college and we did a group project at the end of the 1rst semester (we used the database as a support to play like. a simplified version of dnd) and we had such a blast and playing seekL brought back a lot of fond memories of that time

ive been having a rough time lately and considered for a while dropping out entirely but this game brought me so much joy and reminded me how fun programming can be thank u SO MUCH for that, to u and everyone who worked on this game

Aww, I'm glad the game helped in that way. Rediscovering joy for something is always a nice feeling

[wearetechexpert]

How to Recover Corrupt SQL Database – Step-by-Step Guide!

Learn the best methods to recover a corrupt SQL database. Step-by-step guide on restoring SQL Server MDF & NDF files safely.

https://www.techchef.in/database-recovery/

[mariacallous]

The flood of text messages started arriving early this year. They carried a similar thrust: The United States Postal Service is trying to deliver a parcel but needs more details, including your credit card number. All the messages pointed to websites where the information could be entered.

Like thousands of others, security researcher Grant Smith got a USPS package message. Many of his friends had received similar texts. A couple of days earlier, he says, his wife called him and said she’d inadvertently entered her credit card details. With little going on after the holidays, Smith began a mission: Hunt down the scammers.

Over the course of a few weeks, Smith tracked down the Chinese-language group behind the mass-smishing campaign, hacked into their systems, collected evidence of their activities, and started a months-long process of gathering victim data and handing it to USPS investigators and a US bank, allowing people’s cards to be protected from fraudulent activity.

In total, people entered 438,669 unique credit cards into 1,133 domains used by the scammers, says Smith, a red team engineer and the founder of offensive cybersecurity firm Phantom Security. Many people entered multiple cards each, he says. More than 50,000 email addresses were logged, including hundreds of university email addresses and 20 military or government email domains. The victims were spread across the United States—California, the state with the most, had 141,000 entries—with more than 1.2 million pieces of information being entered in total.

“This shows the mass scale of the problem,” says Smith, who is presenting his findings at the Defcon security conference this weekend and previously published some details of the work. But the scale of the scamming is likely to be much larger, Smith says, as he didn't manage to track down all of the fraudulent USPS websites, and the group behind the efforts have been linked to similar scams in at least half a dozen other countries.

Gone Phishing

Chasing down the group didn’t take long. Smith started investigating the smishing text message he received by the dodgy domain and intercepting traffic from the website. A path traversal vulnerability, coupled with a SQL injection, he says, allowed him to grab files from the website’s server and read data from the database being used.

“I thought there was just one standard site that they all were using,” Smith says. Diving into the data from that initial website, he found the name of a Chinese-language Telegram account and channel, which appeared to be selling a smishing kit scammers could use to easily create the fake websites.

Details of the Telegram username were previously published by cybersecurity company Resecurity, which calls the scammers the “Smishing Triad.” The company had previously found a separate SQL injection in the group’s smishing kits and provided Smith with a copy of the tool. (The Smishing Triad had fixed the previous flaw and started encrypting data, Smith says.)

“I started reverse engineering it, figured out how everything was being encrypted, how I could decrypt it, and figured out a more efficient way of grabbing the data,” Smith says. From there, he says, he was able to break administrator passwords on the websites—many had not been changed from the default “admin” username and “123456” password—and began pulling victim data from the network of smishing websites in a faster, automated way.

Smith trawled Reddit and other online sources to find people reporting the scam and the URLs being used, which he subsequently published. Some of the websites running the Smishing Triad’s tools were collecting thousands of people’s personal information per day, Smith says. Among other details, the websites would request people’s names, addresses, payment card numbers and security codes, phone numbers, dates of birth, and bank websites. This level of information can allow a scammer to make purchases online with the credit cards. Smith says his wife quickly canceled her card, but noticed that the scammers still tried to use it, for instance, with Uber. The researcher says he would collect data from a website and return to it a few hours later, only to find hundreds of new records.

The researcher provided the details to a bank that had contacted him after seeing his initial blog posts. Smith declined to name the bank. He also reported the incidents to the FBI and later provided information to the United States Postal Inspection Service (USPIS).

Michael Martel, a national public information officer at USPIS, says the information provided by Smith is being used as part of an ongoing USPIS investigation and that the agency cannot comment on specific details. “USPIS is already actively pursuing this type of information to protect the American people, identify victims, and serve justice to the malicious actors behind it all,” Martel says, pointing to advice on spotting and reporting USPS package delivery scams.

Initially, Smith says, he was wary about going public with his research, as this kind of “hacking back” falls into a “gray area”: It may be breaking the Computer Fraud and Abuse Act, a sweeping US computer-crimes law, but he’s doing it against foreign-based criminals. Something he is definitely not the first, or last, to do.

Multiple Prongs

The Smishing Triad is prolific. In addition to using postal services as lures for their scams, the Chinese-speaking group has targeted online banking, ecommerce, and payment systems in the US, Europe, India, Pakistan, and the United Arab Emirates, according to Shawn Loveland, the chief operating officer of Resecurity, which has consistently tracked the group.

The Smishing Triad sends between 50,000 and 100,000 messages daily, according to Resecurity’s research. Its scam messages are sent using SMS or Apple’s iMessage, the latter being encrypted. Loveland says the Triad is made up of two distinct groups—a small team led by one Chinese hacker that creates, sells, and maintains the smishing kit, and a second group of people who buy the scamming tool. (A backdoor in the kit allows the creator to access details of administrators using the kit, Smith says in a blog post.)

“It’s very mature,” Loveland says of the operation. The group sells the scamming kit on Telegram for a $200-per month subscription, and this can be customized to show the organization the scammers are trying to impersonate. “The main actor is Chinese communicating in the Chinese language,” Loveland says. “They do not appear to be hacking Chinese language websites or users.” (In communications with the main contact on Telegram, the individual claimed to Smith that they were a computer science student.)

The relatively low monthly subscription cost for the smishing kit means it’s highly likely, with the number of credit card details scammers are collecting, that those using it are making significant profits. Loveland says using text messages that immediately send people a notification is a more direct and more successful way of phishing, compared to sending emails with malicious links included.

As a result, smishing has been on the rise in recent years. But there are some tell-tale signs: If you receive a message from a number or email you don't recognize, if it contains a link to click on, or if it wants you to do something urgently, you should be suspicious.

[sak-shi]

Python Libraries to Learn Before Tackling Data Analysis

To tackle data analysis effectively in Python, it's crucial to become familiar with several libraries that streamline the process of data manipulation, exploration, and visualization. Here's a breakdown of the essential libraries:

 1. NumPy

   - Purpose: Numerical computing.

   - Why Learn It: NumPy provides support for large multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.

   - Key Features:

     - Fast array processing.

     - Mathematical operations on arrays (e.g., sum, mean, standard deviation).

     - Linear algebra operations.

 2. Pandas

   - Purpose: Data manipulation and analysis.

   - Why Learn It: Pandas offers data structures like DataFrames, making it easier to handle and analyze structured data.

   - Key Features:

     - Reading/writing data from CSV, Excel, SQL databases, and more.

     - Handling missing data.

     - Powerful group-by operations.

     - Data filtering and transformation.

 3. Matplotlib

   - Purpose: Data visualization.

   - Why Learn It: Matplotlib is one of the most widely used plotting libraries in Python, allowing for a wide range of static, animated, and interactive plots.

   - Key Features:

     - Line plots, bar charts, histograms, scatter plots.

     - Customizable charts (labels, colors, legends).

     - Integration with Pandas for quick plotting.

 4. Seaborn

   - Purpose: Statistical data visualization.

   - Why Learn It: Built on top of Matplotlib, Seaborn simplifies the creation of attractive and informative statistical graphics.

   - Key Features:

     - High-level interface for drawing attractive statistical graphics.

     - Easier to use for complex visualizations like heatmaps, pair plots, etc.

     - Visualizations based on categorical data.

 5. SciPy

   - Purpose: Scientific and technical computing.

   - Why Learn It: SciPy builds on NumPy and provides additional functionality for complex mathematical operations and scientific computing.

   - Key Features:

     - Optimized algorithms for numerical integration, optimization, and more.

     - Statistics, signal processing, and linear algebra modules.

 6. Scikit-learn

   - Purpose: Machine learning and statistical modeling.

   - Why Learn It: Scikit-learn provides simple and efficient tools for data mining, analysis, and machine learning.

   - Key Features:

     - Classification, regression, and clustering algorithms.

     - Dimensionality reduction, model selection, and preprocessing utilities.

 7. Statsmodels

   - Purpose: Statistical analysis.

   - Why Learn It: Statsmodels allows users to explore data, estimate statistical models, and perform tests.

   - Key Features:

     - Linear regression, logistic regression, time series analysis.

     - Statistical tests and models for descriptive statistics.

 8. Plotly

   - Purpose: Interactive data visualization.

   - Why Learn It: Plotly allows for the creation of interactive and web-based visualizations, making it ideal for dashboards and presentations.

   - Key Features:

     - Interactive plots like scatter, line, bar, and 3D plots.

     - Easy integration with web frameworks.

     - Dashboards and web applications with Dash.

 9. TensorFlow/PyTorch (Optional)

   - Purpose: Machine learning and deep learning.

   - Why Learn It: If your data analysis involves machine learning, these libraries will help in building, training, and deploying deep learning models.

   - Key Features:

     - Tensor processing and automatic differentiation.

     - Building neural networks.

 10. Dask (Optional)

   - Purpose: Parallel computing for data analysis.

   - Why Learn It: Dask enables scalable data manipulation by parallelizing Pandas operations, making it ideal for big datasets.

   - Key Features:

     - Works with NumPy, Pandas, and Scikit-learn.

     - Handles large data and parallel computations easily.

Focusing on NumPy, Pandas, Matplotlib, and Seaborn will set a strong foundation for basic data analysis.

[thedbahub]

Grouping Data by Time Intervals in SQL Server: Hourly and 10-Minute Aggregations

In SQL Server, grouping data by time intervals such as by hour or by 10 minutes requires manipulation of the date and time values so that rows falling within each interval are grouped together. This can be achieved using the DATEPART function for hourly grouping or a combination of DATEPART and arithmetic operations for more granular groupings like every 10 minutes. Here’s how you can do…