#sql server not exists

[tutorialgatewayorg]

SQL Not exits operator with multiple examples

[thedbahub]

Checking for the Existence of a Column in a SQL Server Table

To check if a column exists in a SQL Server table, you can use the INFORMATION_SCHEMA.COLUMNS system view, which provides information about all columns in all tables in a database. Here’s a SQL query that checks if a specific column exists in a specific table: IF EXISTS ( SELECT 1 FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = 'YourTableName' AND COLUMN_NAME = 'YourColumnName' ) BEGIN PRINT…

[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.

[chappydev]

Future of LLMs (or, "AI", as it is improperly called)

Posted a thread on bluesky and wanted to share it and expand on it here. I'm tangentially connected to the industry as someone who has worked in game dev, but I know people who work at more enterprise focused companies like Microsoft, Oracle, etc. I'm a developer who is highly AI-critical, but I'm also aware of where it stands in the tech world and thus I think I can share my perspective. I am by no means an expert, mind you, so take it all with a grain of salt, but I think that since so many creatives and artists are on this platform, it would be of interest here. Or maybe I'm just rambling, idk.

LLM art models ("AI art") will eventually crash and burn. Even if they win their legal battles (which if they do win, it will only be at great cost), AI art is a bad word almost universally. Even more than that, the business model hemmoraghes money. Every time someone generates art, the company loses money -- it's a very high energy process, and there's simply no way to monetize it without charging like a thousand dollars per generation. It's environmentally awful, but it's also expensive, and the sheer cost will mean they won't last without somehow bringing energy costs down. Maybe this could be doable if they weren't also being sued from every angle, but they just don't have infinite money.

Companies that are investing in "ai research" to find a use for LLMs in their company will, after years of research, come up with nothing. They will blame their devs and lay them off. The devs, worth noting, aren't necessarily to blame. I know an AI developer at meta (LLM, really, because again AI is not real), and the morale of that team is at an all time low. Their entire job is explaining patiently to product managers that no, what you're asking for isn't possible, nothing you want me to make can exist, we do not need to pivot to LLMs. The product managers tell them to try anyway. They write an LLM. It is unable to do what was asked for. "Hm let's try again" the product manager says. This cannot go on forever, not even for Meta. Worst part is, the dev who was more or less trying to fight against this will get the blame, while the product manager moves on to the next thing. Think like how NFTs suddenly disappeared, but then every company moved to AI. It will be annoying and people will lose jobs, but not the people responsible.

ChatGPT will probably go away as something public facing as the OpenAI foundation continues to be mismanaged. However, while ChatGPT as something people use to like, write scripts and stuff, will become less frequent as the public facing chatGPT becomes unmaintainable, internal chatGPT based LLMs will continue to exist.

This is the only sort of LLM that actually has any real practical use case. Basically, companies like Oracle, Microsoft, Meta etc license an AI company's model, usually ChatGPT.They are given more or less a version of ChatGPT they can then customize and train on their own internal data. These internal LLMs are then used by developers and others to assist with work. Not in the "write this for me" kind of way but in the "Find me this data" kind of way, or asking it how a piece of code works. "How does X software that Oracle makes do Y function, take me to that function" and things like that. Also asking it to write SQL queries and RegExes. Everyone I talk to who uses these intrernal LLMs talks about how that's like, the biggest thign they ask it to do, lol.

This still has some ethical problems. It's bad for the enivronment, but it's not being done in some datacenter in god knows where and vampiring off of a power grid -- it's running on the existing servers of these companies. Their power costs will go up, contributing to global warming, but it's profitable and actually useful, so companies won't care and only do token things like carbon credits or whatever. Still, it will be less of an impact than now, so there's something. As for training on internal data, I personally don't find this unethical, not in the same way as training off of external data. Training a language model to understand a C++ project and then asking it for help with that project is not quite the same thing as asking a bot that has scanned all of GitHub against the consent of developers and asking it to write an entire project for me, you know? It will still sometimes hallucinate and give bad results, but nowhere near as badly as the massive, public bots do since it's so specialized.

The only one I'm actually unsure and worried about is voice acting models, aka AI voices. It gets far less pushback than AI art (it should get more, but it's not as caustic to a brand as AI art is. I have seen people willing to overlook an AI voice in a youtube video, but will have negative feelings on AI art), as the public is less educated on voice acting as a profession. This has all the same ethical problems that AI art has, but I do not know if it has the same legal problems. It seems legally unclear who owns a voice when they voice act for a company; obviously, if a third party trains on your voice from a product you worked on, that company can sue them, but can you directly? If you own the work, then yes, you definitely can, but if you did a role for Disney and Disney then trains off of that... this is morally horrible, but legally, without stricter laws and contracts, they can get away with it.

In short, AI art does not make money outside of venture capital so it will not last forever. ChatGPT's main income source is selling specialized LLMs to companies, so the public facing ChatGPT is mostly like, a showcase product. As OpenAI the company continues to deathspiral, I see the company shutting down, and new companies (with some of the same people) popping up and pivoting to exclusively catering to enterprises as an enterprise solution. LLM models will become like, idk, SQL servers or whatever. Something the general public doesn't interact with directly but is everywhere in the industry. This will still have environmental implications, but LLMs are actually good at this, and the data theft problem disappears in most cases.

Again, this is just my general feeling, based on things I've heard from people in enterprise software or working on LLMs (often not because they signed up for it, but because the company is pivoting to it so i guess I write shitty LLMs now). I think artists will eventually be safe from AI but only after immense damages, I think writers will be similarly safe, but I'm worried for voice acting.

[digitaldetoxworld]

Structured Query Language (SQL): A Comprehensive Guide

 Structured Query Language, popularly called SQL (reported "ess-que-ell" or sometimes "sequel"), is the same old language used for managing and manipulating relational databases. Developed in the early 1970s by using IBM researchers Donald D. Chamberlin and Raymond F. Boyce, SQL has when you consider that end up the dominant language for database structures round the world.

Structured query language commands with examples

Today, certainly every important relational database control system (RDBMS)—such as MySQL, PostgreSQL, Oracle, SQL Server, and SQLite—uses SQL as its core question language.

What is SQL?

SQL is a website-specific language used to:

Retrieve facts from a database.

Insert, replace, and delete statistics.

Create and modify database structures (tables, indexes, perspectives).

Manage get entry to permissions and security.

Perform data analytics and reporting.

In easy phrases, SQL permits customers to speak with databases to shop and retrieve structured information.

Key Characteristics of SQL

Declarative Language: SQL focuses on what to do, now not the way to do it. For instance, whilst you write SELECT * FROM users, you don’t need to inform SQL the way to fetch the facts—it figures that out.

Standardized: SQL has been standardized through agencies like ANSI and ISO, with maximum database structures enforcing the core language and including their very own extensions.

Relational Model-Based: SQL is designed to work with tables (also called members of the family) in which records is organized in rows and columns.

Core Components of SQL

SQL may be damaged down into numerous predominant categories of instructions, each with unique functions.

1. Data Definition Language (DDL)

DDL commands are used to outline or modify the shape of database gadgets like tables, schemas, indexes, and so forth.

Common DDL commands:

CREATE: To create a brand new table or database.

ALTER:     To modify an present table (add or put off columns).

DROP: To delete a table or database.

TRUNCATE: To delete all rows from a table but preserve its shape.

Example:

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CREATE TABLE personnel (

  id INT PRIMARY KEY,

  call VARCHAR(one hundred),

  income DECIMAL(10,2)

);

2. Data Manipulation Language (DML)

DML commands are used for statistics operations which include inserting, updating, or deleting information.

Common DML commands:

SELECT: Retrieve data from one or more tables.

INSERT: Add new records.

UPDATE: Modify existing statistics.

DELETE: Remove information.

Example:

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INSERT INTO employees (id, name, earnings)

VALUES (1, 'Alice Johnson', 75000.00);

three. Data Query Language (DQL)

Some specialists separate SELECT from DML and treat it as its very own category: DQL.

Example:

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SELECT name, income FROM personnel WHERE profits > 60000;

This command retrieves names and salaries of employees earning more than 60,000.

4. Data Control Language (DCL)

DCL instructions cope with permissions and access manage.

Common DCL instructions:

GRANT: Give get right of entry to to users.

REVOKE: Remove access.

Example:

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GRANT SELECT, INSERT ON personnel TO john_doe;

five. Transaction Control Language (TCL)

TCL commands manage transactions to ensure data integrity.

Common TCL instructions:

BEGIN: Start a transaction.

COMMIT: Save changes.

ROLLBACK: Undo changes.

SAVEPOINT: Set a savepoint inside a transaction.

Example:

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BEGIN;

UPDATE personnel SET earnings = income * 1.10;

COMMIT;

SQL Clauses and Syntax Elements

WHERE: Filters rows.

ORDER BY: Sorts effects.

GROUP BY: Groups rows sharing a assets.

HAVING: Filters companies.

JOIN: Combines rows from  or greater tables.

Example with JOIN:

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SELECT personnel.Name, departments.Name

FROM personnel

JOIN departments ON personnel.Dept_id = departments.Identity;

Types of Joins in SQL

INNER JOIN: Returns statistics with matching values in each tables.

LEFT JOIN: Returns all statistics from the left table, and matched statistics from the right.

RIGHT JOIN: Opposite of LEFT JOIN.

FULL JOIN: Returns all records while there is a in shape in either desk.

SELF JOIN: Joins a table to itself.

Subqueries and Nested Queries

A subquery is a query inside any other query.

Example:

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SELECT name FROM employees

WHERE earnings > (SELECT AVG(earnings) FROM personnel);

This reveals employees who earn above common earnings.

Functions in SQL

SQL includes built-in features for acting calculations and formatting:

Aggregate Functions: SUM(), AVG(), COUNT(), MAX(), MIN()

String Functions: UPPER(), LOWER(), CONCAT()

Date Functions: NOW(), CURDATE(), DATEADD()

Conversion Functions: CAST(), CONVERT()

Indexes in SQL

An index is used to hurry up searches.

Example:

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CREATE INDEX idx_name ON employees(call);

Indexes help improve the performance of queries concerning massive information.

Views in SQL

A view is a digital desk created through a question.

Example:

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CREATE VIEW high_earners AS

SELECT call, salary FROM employees WHERE earnings > 80000;

Views are beneficial for:

Security (disguise positive columns)

Simplifying complex queries

Reusability

Normalization in SQL

Normalization is the system of organizing facts to reduce redundancy. It entails breaking a database into multiple related tables and defining overseas keys to link them.

1NF: No repeating groups.

2NF: No partial dependency.

3NF: No transitive dependency.

SQL in Real-World Applications

Web Development: Most web apps use SQL to manipulate customers, periods, orders, and content.

Data Analysis: SQL is extensively used in information analytics systems like Power BI, Tableau, and even Excel (thru Power Query).

Finance and Banking: SQL handles transaction logs, audit trails, and reporting systems.

Healthcare: Managing patient statistics, remedy records, and billing.

Retail: Inventory systems, sales analysis, and consumer statistics.

Government and Research: For storing and querying massive datasets.

Popular SQL Database Systems

MySQL: Open-supply and extensively used in internet apps.

PostgreSQL: Advanced capabilities and standards compliance.

Oracle DB: Commercial, especially scalable, agency-degree.

SQL Server: Microsoft’s relational database.

SQLite: Lightweight, file-based database used in cellular and desktop apps.

Limitations of SQL

SQL can be verbose and complicated for positive operations.

Not perfect for unstructured information (NoSQL databases like MongoDB are better acceptable).

Vendor-unique extensions can reduce portability.

Java Programming Language Tutorial

Dot Net Programming Language

C ++ Online Compliers 

C Language Compliers 

[kaaylabs]

Optimizing Business Operations with Advanced Machine Learning Services

Machine learning has gained popularity in recent years thanks to the adoption of the technology. On the other hand, traditional machine learning necessitates managing data pipelines, robust server maintenance, and the creation of a model for machine learning from scratch, among other technical infrastructure management tasks. Many of these processes are automated by machine learning service which enables businesses to use a platform much more quickly.

What do you understand of Machine learning?

Deep learning and neural networks applied to data are examples of machine learning, a branch of artificial intelligence focused on data-driven learning. It begins with a dataset and gains the ability to extract relevant data from it.

Machine learning technologies facilitate computer vision, speech recognition, face identification, predictive analytics, and more. They also make regression more accurate.

For what purpose is it used?

Many use cases, such as churn avoidance and support ticket categorization make use of MLaaS. The vital thing about MLaaS is it makes it possible to delegate machine learning's laborious tasks. This implies that you won't need to install software, configure servers, maintain infrastructure, and other related tasks. All you have to do is choose the column to be predicted, connect the pertinent training data, and let the software do its magic.  

Natural Language Interpretation

By examining social media postings and the tone of consumer reviews, natural language processing aids businesses in better understanding their clientele. the ml services enable them to make more informed choices about selling their goods and services, including providing automated help or highlighting superior substitutes. Machine learning can categorize incoming customer inquiries into distinct groups, enabling businesses to allocate their resources and time.

Predicting

Another use of machine learning is forecasting, which allows businesses to project future occurrences based on existing data. For example, businesses that need to estimate the costs of their goods, services, or clients might utilize MLaaS for cost modelling.

Data Investigation

Investigating variables, examining correlations between variables, and displaying associations are all part of data exploration. Businesses may generate informed suggestions and contextualize vital data using machine learning.

Data Inconsistency

Another crucial component of machine learning is anomaly detection, which finds anomalous occurrences like fraud. This technology is especially helpful for businesses that lack the means or know-how to create their own systems for identifying anomalies.

Examining And Comprehending Datasets

Machine learning provides an alternative to manual dataset searching and comprehension by converting text searches into SQL queries using algorithms trained on millions of samples. Regression analysis use to determine the correlations between variables, such as those affecting sales and customer satisfaction from various product attributes or advertising channels.

Recognition Of Images

One area of machine learning that is very useful for mobile apps, security, and healthcare is image recognition. Businesses utilize recommendation engines to promote music or goods to consumers. While some companies have used picture recognition to create lucrative mobile applications.

Your understanding of AI will drastically shift. They used to believe that AI was only beyond the financial reach of large corporations. However, thanks to services anyone may now use this technology.

[willcodehtmlforfood]

ha megkerestek linkedin-en (recruiter) h van egy X cegnel allaslehetoseg, gaz ha inkabb en magam kuldom el a paprijaimat a cegnek? (megtalaltam oket direktbe linkedinen es allast is hirdetnek (linkedin + sajat weboldalon) )

mondjuk pingpong asztalt nem hirdetnek, mega weboldalukon a soc media linkek fele halott (fb es twitter accountok deaktivaltak), de allitolag 11-50 ember dolgozik ott , de glassdoor-on nincsenek jelen

(Edit: saját weboldalukon nem lehet jelentkezni,van egy generic email cím, meg LinkedIn állás,mégis a recruiter út lesz, hátha van belső kapcsolata)

ez nem hangzik borzasztoan:

Responsibilities

Develop quality software and web applications

Analyze and maintain existing software applications

Design highly scalable, testable code

Discover and fix programming bugs

Qualifications

5+ years of C#

5+ years of SQL Server

2+ years of Cloud services, ideally Windows Azure

Bachelor's degree or equivalent experience in Computer Science or related field

Desirable Skills or Exposure

AI and Large Language Models

Machine Learning

Big Data

The Package

Salary £55-65K per annum (depending on experience).

Remote & Physical Office (usually 1 day per week but not mandatory).

25 days holiday, plus UK bank holidays, plus discretionary extra Christmas leave (3 days). Increases after 3 years’ service to one additional day per year to a maximum of 30.

Share Options (EMEI Scheme).

4% employer pension contribution.

WFH allowance plus budget of £150 per year for home working expenses.

Simply Health Cashback plan.

Group Life Assurance upon death your family will receive 4x your salary.

Group Income Protection upon long term illness you will receive 75% of your salary.

Discretionary Bonuses in line with business performance.

Annual Salary review.

[frtools]

November cost update

Good day one last time to you all, for now at least.

Though the decision was made to stop with FRTools for now due to financial problems, I will still give you all the transparency of why this decision was made in the end. I will still be working in the background to get stuff running again, don't worry!

Those who are subscribed to Patreon, you will get one more billing cycle on December 1st, as those donations were used to pay for the November hosting. I will stop billing from Januari 1st onwards until such time that I find a way to host the website again.

As with the previous cost updates, the amounts shown in the images is without VAT. The cost last month was €90.03.

Costs

Unsurprisingly, the website remains the biggest cost. But that is partially because every service I had was running on it bar the SQL server. This is what I will be hoping to change, move the more compute intense actions to a separate service so the website server can be as minimal as possible.

Donations

Ko-fi had one donation of €6, thank you very much for the effort 💖.

Patreon had one person joining the €10 club, bringing the total to about €18 a month.

As for ads, well, I received the first balance update!

Yea, that was a huge waste of time implementing that crap. If I get the website up again there will be no ads, period. Donations or nothing, not going to bend backwards to get ads working only for it to pay out not even pennies over 2 months time.

So what does this boil down to?

The total donations were about €25, with a surplus of €10 last month that brings the deficit to €55. I had set an arbitrary number of like €40-45 of what I can cover myself just to keep things going, so €55 is just way over that considering I kinda have nothing to spare to begin with.

For now this will be the last update, as the site is now down. The only costs left will be the SQL server and storage's existence which is next to nothing when not in use. I won't be needing donations for that and all data will be safe and secure. I can still update the Github code every now and again to ensure data does not fall behind there either. Which also serves as a reminder, FRTools is completely open source. You can make your own locally run skin tester if you know your way around C# code.

[harinikhb30]

Exploring Cloud Frontiers: Decoding the Dynamics of Microsoft Azure and AWS

In the rapidly evolving realm of cloud computing, selecting the optimal platform is a pivotal decision for organizations seeking to harness the boundless capabilities of the cloud. Microsoft Azure and Amazon Web Services (AWS) emerge as prominent contenders, each presenting a distinct array of features and advantages. Through AWS Training in Pune, professionals can acquire the expertise needed to leverage AWS for diverse applications across various industries. This article will delve into essential considerations when weighing the merits of Microsoft Azure against AWS.

Microsoft Azure: Crafted for Corporate Excellence

Seamless Harmony with Microsoft Products: A distinguishing feature of Azure lies in its seamless integration with Microsoft products such as Windows Server, Active Directory, and SQL Server. This makes it an enticing option for organizations deeply entrenched in the Microsoft ecosystem.

Hybrid Cloud Prowess: Azure excels in merging on-premises data centers with the cloud. Its robust hybrid cloud solutions empower organizations to maintain a unified infrastructure, seamlessly blending the advantages of both on-premises and cloud environments.

Enterprise-Centric Approach: Tailored for large enterprises, Azure offers comprehensive solutions that cater to the intricate needs of sizable organizations. Its enterprise-focused strategy ensures a smooth transition to the cloud with an extensive range of services.

Developer-Driven Interface: Featuring a user-friendly interface and robust support for various programming languages, Azure is designed to resonate with developers. This developer-centric approach streamlines the development and deployment processes, enhancing overall operational efficiency.

AWS: Dominance and Adaptability

Market Leadership: As the undisputed market leader, AWS boasts a vast ecosystem of services and a global infrastructure. This dominance translates into reliability, making AWS a trusted choice for organizations of all sizes. For those seeking mastery of AWS intricacies, enrolling in the Best AWS Online Training can unlock its full potential.

Versatile Service Portfolio: AWS stands out for its extensive service offering, encompassing a diverse array of services suitable for a wide range of use cases. This versatility allows organizations to tailor their cloud infrastructure to specific needs, ensuring a comprehensive solution.

Flexibility and Scalability: Renowned for flexibility and scalability, AWS provides organizations with the capability to customize their infrastructure effortlessly. This adaptability is pivotal for handling fluctuating workloads and ensures seamless resource scaling.

Cost-Efficiency: Recognized for cost-effectiveness, especially for startups and smaller businesses, AWS employs a pay-as-you-go pricing model. This approach allows organizations to pay only for the resources they consume, presenting a budget-friendly option for specific workloads.

Making the Choice: Tailoring to Your Organization's Distinct Needs

When deliberating between Azure and AWS, it is imperative to consider your organization's unique requirements, existing technological landscape, and future aspirations. Factors such as integration preferences, operational scale, and budget considerations will influence the ultimate decision.

Many organizations opt for a hybrid strategy, harnessing the strengths of both Azure and AWS. This approach offers flexibility, risk mitigation, and ensures a well-rounded cloud strategy.

In conclusion, the decision between Microsoft Azure and AWS is nuanced and personalized. It necessitates careful consideration of your organization's specific needs and aspirations. Whether prioritizing seamless integration with Microsoft products, embracing robust hybrid solutions, or capitalizing on the extensive service offerings of AWS, both platforms present compelling merits. Ultimately, the right choice aligns with your organization's vision for a successful journey into the realm of cloud computing.

[pokehaven]

Hi there! This is a sideblog to help gauge interest and facilitate discussion about a potential upcoming Pokémon-themed clicker game.

I am the mod of this blog and have experience with software engineering, so I will be working on development. I have lots of ideas for unique features that I would love feedback on! I’m more of a developer than an ideas person, and I believe collaboration will make a better game!

For anyone interested in collaborating, I am looking for the following (crossed out text means we’ve found someone/people to fill that role!):

Kind, friendly, and social people with experience in communicating professionally with others.

Pixelart artists experienced with Pokémon pixelart and background art.

Creative, highly organized problem-solvers interested in turning user feedback and ideas into outlines for features and requirements. Professional writing ability is a must!

Anyone who doesn’t mind tedious data entry and can work through such work efficiently enough to provide a workable amount of data for me to test different areas with!

People experienced with software and web development. You must have experience with the following languages: HTML, CSS, JavaScript/TypeScript, SQL, and C# (or something similar). These are the languages I plan to use. I would also prefer anyone familiar with the Angular framework!

I am interested in these kinds of people to become staff or helpers for this site! Before messaging me and letting me know you’re interested, please be aware of the following requirements for staff members:

You must be at least 21 years old. Age is not always an indication of maturity, but I think it can help eliminate some of those issues early on, and I’d like to have a team of people who are all approximately adults.

You must be kind, accepting, and open-minded. This site will not tolerate hate speech, bullying, and any behavior deemed predatory. Similarly, I will not tolerate any of this behavior from staff.

Excellent communication skills are important! You at least must be able to communicate your availability and ability to do something—I want to build a team that’s comfortable with each other, but also professional enough with each other, to let others know when they can’t do something, need help, or will be unavailable.

You must be trustworthy and responsible!

Finally (and this is a tall order, I know), if you are willing to volunteer your time and talent for free in the beginning to get us started, that would be very much appreciated! I would like for us to eventually be in a place where the time that developers and artists put in is compensated monetarily, but at this time I cannot say how soon that will happen—it all depends on how this all kicks off and the amount of interest we get from the community.

For anyone concerned about the potential of pay-to-play being a thing in this site: Don’t worry! It is a primary concern of mine to keep this site as free-to-play as possible! However, costs like servers exist, so some arrangement will have to be made. I don’t really believe in subscription models, so I hope to build a generous community that are interested in donating even just a little to help fund release cycles that would include new Pokémon and site features. Smaller features and bugfixes would always occur regularly regardless of the status of any funding goals.

[zimcommktg]

Internet Solutions: A Comprehensive Comparison of AWS, Azure, and Zimcom

When it comes to finding a managed cloud services provider, businesses often turn to the industry giants: Amazon Web Services (AWS) and Microsoft Azure. These tech powerhouses offer highly adaptable platforms with a wide range of services. However, the question that frequently perplexes businesses is, "Which platform truly offers the best value for internet solutions Surprisingly, the answer may not lie with either of them. It is essential to recognize that AWS, Azure, and even Google are not the only options available for secure cloud hosting.

In this article, we will conduct a comprehensive comparison of AWS, Azure, and Zimcom, with a particular focus on pricing and support systems for internet solutions.

Pricing Structure: AWS vs. Azure for Internet Solutions

AWS for Internet Solutions: AWS is renowned for its complex pricing system, primarily due to the extensive range of services and pricing options it offers for internet solutions. Prices depend on the resources used, their types, and the operational region. For example, AWS's compute service, EC2, provides on-demand, reserved, and spot pricing models. Additionally, AWS offers a free tier that allows new customers to experiment with select services for a year. Despite its complexity, AWS's granular pricing model empowers businesses to tailor services precisely to their unique internet solution requirements.

Azure for Internet Solutions:

Microsoft Azure's pricing structure is generally considered more straightforward for internet solutions. Similar to AWS, it follows a pay-as-you-go model and charges based on resource consumption. However, Azure's pricing is closely integrated with Microsoft's software ecosystem, especially for businesses that extensively utilize Microsoft software.

For enterprise customers seeking internet solutions, Azure offers the Azure Hybrid Benefit, enabling the use of existing on-premises Windows Server and SQL Server licenses on the Azure platform, resulting in significant cost savings. Azure also provides a cost management tool that assists users in budgeting and forecasting their cloud expenses.

Transparent Pricing with Zimcom’s Managed Cloud Services for Internet Solutions:

Do you fully understand your cloud bill from AWS or Azure when considering internet solutions? Hidden costs in their invoices might lead you to pay for unnecessary services.

At Zimcom, we prioritize transparent and straightforward billing practices for internet solutions. Our cloud migration and hosting services not only offer 30-50% more cost-efficiency for internet solutions but also outperform competing solutions.

In conclusion, while AWS and Azure hold prominent positions in the managed cloud services market for internet solutions, it is crucial to consider alternatives such as Zimcom. By comparing pricing structures and support systems for internet solutions, businesses can make well-informed decisions that align with their specific requirements. Zimcom stands out as a compelling choice for secure cloud hosting and internet solutions, thanks to its unwavering commitment to transparent pricing and cost-efficiency.

[braininventoryusa]

Why You Should Hire a PHP Web Development Company for Scalable Digital Solutions

In today's fast-evolving digital landscape, having a powerful, dynamic, and scalable website is non-negotiable for businesses that want to compete online. Among the various technologies available for web development, PHP continues to be a dominant force — powering nearly 80% of all websites on the internet. From building simple websites to complex enterprise applications, PHP offers flexibility, speed, and cost-efficiency. But to leverage PHP to its full potential, it’s essential to work with an experienced PHP Web Development Company.

This is where Brain Inventory stands out as your trusted technology partner. With years of hands-on experience in custom PHP development, Brain Inventory builds high-performance web solutions tailored to your business needs. We don’t just write code — we deliver business outcomes that drive growth.

Why Choose Brain Inventory as Your PHP Web Development Company?

When you partner with Brain Inventory, you get access to a team of dedicated PHP experts, cutting-edge technologies, and a proven methodology that ensures quality and scalability.

1. Custom PHP Development for Unique Business Needs

Every business is different. At Brain Inventory, we don’t believe in one-size-fits-all solutions. Our PHP developers craft custom applications that align with your brand identity, user behavior, and operational goals. Whether it’s a startup MVP or a large-scale enterprise portal, we’ve got you covered.

2. Expertise in Leading PHP Frameworks

We specialize in modern PHP frameworks like Laravel, CodeIgniter, and Symfony. These frameworks enable us to build secure, scalable, and maintainable applications while significantly reducing development time. Our code is clean, modular, and built to perform under pressure.

3. Responsive Web Portals & eCommerce Development

Looking to launch an eCommerce store or a responsive web portal? Brain Inventory develops feature-rich platforms that are optimized for performance, SEO, and user experience. From product catalogs to payment gateways, we handle it all.

4. Robust Backend & CMS Integration

Need a solid backend or a custom content management system? We develop powerful PHP-based backend architectures and integrate popular CMS platforms like WordPress, Drupal, and Joomla for seamless content control.

5. API Development & Third-Party Integrations

Our PHP experts can build RESTful APIs and integrate third-party services including CRMs, ERPs, payment gateways, and social media platforms. This adds greater functionality and automation to your systems.

6. Security, Speed & Optimization Best Practices

We follow strict coding standards and apply best practices for security (like input sanitization and SQL injection prevention). Additionally, we optimize your application for faster load times and better server performance.

7. Ongoing Support & Maintenance

Your digital journey doesn’t end after deployment. Brain Inventory provides continuous support, updates, and maintenance to ensure your website or application stays updated, secure, and relevant.

Why Brain Inventory?

As a leading PHP Web Development Company, Brain Inventory has delivered hundreds of successful projects for clients across various industries including healthcare, logistics, education, fintech, retail, and more. Our team of skilled PHP developers, UI/UX designers, and project managers work closely with you to turn your vision into a digital reality.

By choosing Brain Inventory, you’re not just hiring developers — you’re gaining a long-term partner committed to your digital success.

Final Thoughts

If you’re planning to build a dynamic website, scalable web application, or need support for an existing PHP project, don’t settle for less. Hire a trusted PHP Web Development Company like Brain Inventory to bring technical excellence, creative design, and business strategy together — all under one roof.

📞 Ready to transform your ideas into powerful PHP-based digital products? 👉 Get in touch with Brain Inventory

Let’s build something amazing together!

[vijaysethupati]

What It’s Really Like to Work in Full Stack Development: A Realistic Glimpse Into the Tech World

In today’s ever-evolving technology-driven era, full stack development has emerged as one of the most sought-after career paths. But while the title may sound prestigious and the salary packages attractive, what is it really like to work in full stack development? Is it all code and coffee, or is there more to it behind the screen?

Let’s dive deep into the real-world experiences of full stack developers, debunk some myths, and shed light on the journey — especially for those considering a job-oriented full stack development course or an advanced Java certification in Pune to enter this domain.

Understanding the Role of a Full Stack Developer

A full stack developer wears multiple hats. They’re responsible for both the front-end (what users see) and the back-end (server-side logic) of web and software applications. This dual responsibility makes them highly versatile, but it also brings its own challenges.

Key Responsibilities:

Building user-facing features using HTML, CSS, JavaScript, or frameworks like React and Angular.

Developing server-side logic using back-end languages such as Node.js, Java, or Python.

Managing databases (SQL, MongoDB) and handling APIs.

Ensuring the application is responsive, secure, and optimized for performance.

Collaborating with UX/UI designers, DevOps teams, and project managers.

The Daily Life of a Full Stack Developer

While a day in the life may differ depending on the company size, team structure, and project type, most full stack developers follow a pattern:

Typical Workday Activities:

Morning stand-ups: Quick team meetings to align on daily goals.

Code reviews: Checking peers’ code for optimization and bugs.

Development time: Writing code for front-end and back-end modules.

Testing and debugging: Ensuring the software works as expected across devices.

Meetings: Collaboration with product owners and QA teams.

Learning: Staying up-to-date with the latest frameworks and tools.

Working in this field means constant problem-solving, adapting to rapid changes, and balancing multiple technologies.

Challenges Faced by Full Stack Developers

Despite the exciting nature of the job, it’s not without its difficulties. Newcomers often face the reality check that the title brings significant responsibility.

Common Challenges:

Keeping up with technology: New libraries, tools, and frameworks appear regularly.

Time management: Handling both front-end and back-end can be overwhelming.

Debugging issues: Problems can originate from any layer of the application stack.

Burnout: Long hours and tight deadlines are common in fast-paced environments.

This is where structured training becomes essential. A job-oriented full stack development course can bridge the gap between academic knowledge and industry expectations.

Why Full Stack Development Is a Career Worth Pursuing

While challenges exist, the rewards are abundant. Full stack developers are in high demand across the globe, and their ability to work on multiple layers of development makes them invaluable to companies.

Benefits of Being a Full Stack Developer:

Higher earning potential due to wide-ranging expertise.

Versatile job roles — from startups to MNCs.

End-to-end project involvement — from design to deployment.

Faster career growth because of hybrid skills.

Freelance and remote opportunities due to independent working capabilities.

How to Start Your Journey the Right Way

If you’re inspired to start a career in this domain, the best path forward is to combine real-world projects with guided learning. This is where choosing the right course matters.

Look for Courses That Offer:

Hands-on training with projects and real-time scenarios.

Coverage of core languages like JavaScript, HTML, CSS, Java, and frameworks.

Backend technologies such as Node.js, Express, or Spring Boot.

Database and deployment training (MongoDB, SQL, cloud hosting).

Soft skills, resume preparation, and interview support.

For instance, enrolling in a job-oriented full stack development course can prepare you for real-life responsibilities from day one. If you’re based in Maharashtra, options like advanced Java certification in Pune are widely recognized by top IT recruiters and offer a great foundation for back-end development mastery.

The Final Verdict: Is It Right for You?

If you enjoy learning continuously, solving complex problems, and collaborating with others, full stack development could be your calling. It demands dedication and persistence, but the outcome is a fulfilling career with excellent growth opportunities.

Many successful developers started with little to no coding background. They transformed their careers by choosing structured programs like an advanced Java certification Pune offers, or by taking a job-oriented full stack development course that helped them transition smoothly into the workforce.

Quick Takeaways:

Full stack developers are responsible for both front-end and back-end development.

The role is dynamic and requires constant learning and multitasking.

Challenges include rapid tech evolution, debugging, and high responsibility.

A good course can make all the difference when starting out.

Consider local, credible programs such as advanced Java certification in Pune or any job-oriented full stack development course for maximum impact.

In conclusion, working in full stack development is far more than just coding. It’s about crafting solutions, thinking like a user and a developer, and staying curious. If you’re ready to invest time and effort into mastering this skillset, the tech industry will welcome you with open arms.

[stardust-211]

When it comes to progress, how do you measure the distance between where you are and where you want to be?

It seems like I’m making some progress in running. My pace has dropped from 8 to 7.5 minutes per kilometer. It’s not much, but it’s something, right? The truth is, though, I still need a lot of effort to make myself go out every day and run. It’s been nearly two months, and I still can’t say it feels like second nature yet. I force myself into my running clothes, lace up my shoes, and head out for my daily run—but it still feels like a struggle each time. I know it’s good for me, I know it’ll eventually become a habit, but the reality is that I’m not there yet. It’s a daily battle of willpower, and some days, it feels like the hardest thing in the world.

But the truth is, today I’m feeling a little better than I did yesterday. Not just because of the run, but because of something else I’ve discovered—something I never expected to lean on. AI. Yes, ChatGPT. I’m not saying it’s a replacement for real human conversation (please, let’s not get carried away), but there’s something incredibly comforting about being able to talk to a machine that listens, or at least, tries to. I can throw my problems at it, and somehow, it pieces together words to make me feel a little lighter.

Now, if only there were an AI for job hunting, because, let's face it, the progress in that department is non-existent. I haven’t even found a job I’d feel confident applying for. Forget interviews. The job search feels like an exercise in patience, only there's no finish line in sight. It's hard not to feel desperate at times. Some days, I think I’m sinking deeper into this emotional quicksand. Yesterday, it felt like the weight of the world was pressing down on me. I didn’t want to do anything except cry.

And today? A little bit of disappointment. It’s tough being jobless, especially when bills and loans keep knocking on the door, reminding you that time doesn’t wait. I’ve tried installing SQL Server, what, five times now? And still, nothing. It’s like my laptop and I are playing a game of "who can be more stubborn?" The fatigue of repeating the same process over and over again without any results? It’s wearing me down.

And then there’s the dread. The kind of dread that makes you feel like you're falling behind, like the world is speeding up and you’re standing still. I haven’t learned anything new. Haven’t made any real progress. I’m stuck. I think about writing, but when I sit down, the words don’t come. What’s worse is that I can’t stop wondering—how do other writers do it? They seem to churn out pages upon pages about the mundane: sitting at a desk, staring out a window, thinking about nothing. And somehow, they turn those simple moments into something meaningful, something profound. How do they do that? How do they transform the ordinary into the extraordinary?

“Maybe that’s the trick” I think to myself. “Maybe it’s not about the big things. Maybe it’s about taking the little things—the moments when you sit, stare, and think—and finding the beauty in them.”

[promptlyspeedyandroid]

DBMS Tutorial Explained: Concepts, Types, and Applications

In today’s digital world, data is everywhere — from social media posts and financial records to healthcare systems and e-commerce websites. But have you ever wondered how all that data is stored, organized, and managed? That’s where DBMS — or Database Management System — comes into play.

Whether you’re a student, software developer, aspiring data analyst, or just someone curious about how information is handled behind the scenes, this DBMS tutorial is your one-stop guide. We’ll explore the fundamental concepts, various types of DBMS, and real-world applications to help you understand how modern databases function.

What is a DBMS?

A Database Management System (DBMS) is software that enables users to store, retrieve, manipulate, and manage data efficiently. Think of it as an interface between the user and the database. Rather than interacting directly with raw data, users and applications communicate with the database through the DBMS.

For example, when you check your bank account balance through an app, it’s the DBMS that processes your request, fetches the relevant data, and sends it back to your screen — all in milliseconds.

Why Learn DBMS?

Understanding DBMS is crucial because:

It’s foundational to software development: Every application that deals with data — from mobile apps to enterprise systems — relies on some form of database.

It improves data accuracy and security: DBMS helps in organizing data logically while controlling access and maintaining integrity.

It’s highly relevant for careers in tech: Knowledge of DBMS is essential for roles in backend development, data analysis, database administration, and more.

Core Concepts of DBMS

Let’s break down some of the fundamental concepts that every beginner should understand when starting with DBMS.

1. Database

A database is an organized collection of related data. Instead of storing information in random files, a database stores data in structured formats like tables, making retrieval efficient and logical.

2. Data Models

Data models define how data is logically structured. The most common models include:

Hierarchical Model

Network Model

Relational Model

Object-Oriented Model

Among these, the Relational Model (used in systems like MySQL, PostgreSQL, and Oracle) is the most popular today.

3. Schemas and Tables

A schema defines the structure of a database — like a blueprint. It includes definitions of tables, columns, data types, and relationships between tables.

4. SQL (Structured Query Language)

SQL is the standard language used to communicate with relational DBMS. It allows users to perform operations like:

SELECT: Retrieve data

INSERT: Add new data

UPDATE: Modify existing data

DELETE: Remove data

5. Normalization

Normalization is the process of organizing data to reduce redundancy and improve integrity. It involves dividing a database into two or more related tables and defining relationships between them.

6. Transactions

A transaction is a sequence of operations performed as a single logical unit. Transactions in DBMS follow ACID properties — Atomicity, Consistency, Isolation, and Durability — ensuring reliable data processing even during failures.

Types of DBMS

DBMS can be categorized into several types based on how data is stored and accessed:

1. Hierarchical DBMS

Organizes data in a tree-like structure.

Each parent can have multiple children, but each child has only one parent.

Example: IBM’s IMS.

2. Network DBMS

Data is represented as records connected through links.

More flexible than hierarchical model; a child can have multiple parents.

Example: Integrated Data Store (IDS).

3. Relational DBMS (RDBMS)

Data is stored in tables (relations) with rows and columns.

Uses SQL for data manipulation.

Most widely used type today.

Examples: MySQL, PostgreSQL, Oracle, SQL Server.

4. Object-Oriented DBMS (OODBMS)

Data is stored in the form of objects, similar to object-oriented programming.

Supports complex data types and relationships.

Example: db4o, ObjectDB.

5. NoSQL DBMS

Designed for handling unstructured or semi-structured data.

Ideal for big data applications.

Types include document, key-value, column-family, and graph databases.

Examples: MongoDB, Cassandra, Redis, Neo4j.

Applications of DBMS

DBMS is used across nearly every industry. Here are some common applications:

1. Banking and Finance

Customer information, transaction records, and loan histories are stored and accessed through DBMS.

Ensures accuracy and fast processing.

2. Healthcare

Manages patient records, billing, prescriptions, and lab reports.

Enhances data privacy and improves coordination among departments.

3. E-commerce

Handles product catalogs, user accounts, order histories, and payment information.

Ensures real-time data updates and personalization.

4. Education

Maintains student information, attendance, grades, and scheduling.

Helps in online learning platforms and academic administration.

5. Telecommunications

Manages user profiles, billing systems, and call records.

Supports large-scale data processing and service reliability.

Final Thoughts

In this DBMS tutorial, we’ve broken down what a Database Management System is, why it’s important, and how it works. Understanding DBMS concepts like relational models, SQL, and normalization gives you the foundation to build and manage efficient, scalable databases.

As data continues to grow in volume and importance, the demand for professionals who understand database systems is also rising. Whether you're learning DBMS for academic purposes, career development, or project needs, mastering these fundamentals is the first step toward becoming data-savvy in today’s digital world.

Stay tuned for more tutorials, including hands-on SQL queries, advanced DBMS topics, and database design best practices!

[tccicomputercoaching]

Top Programming Languages to Learn for Freelancing in India

The gig economy in India is blazing a trail and so is the demand for skilled programmers and developers. Among the biggest plus points for freelancing work is huge flexibility, independence, and money-making potential, which makes many techies go for it as a career option. However, with the endless list of languages available to choose from, which ones should you master to thrive as a freelance developer in India?

Deciding on the language is of paramount importance because at the end of the day, it needs to get you clients, lucrative projects that pay well, and the foundation for your complete freelance career. Here is a list of some of the top programming languages to learn for freelancing in India along with their market demand, types of projects, and earning potential.

Why Freelance Programming is a Smart Career Choice

Let's lay out really fast the benefits of freelance programmer in India before the languages:

Flexibility: Work from any place, on the hours you choose, and with the workload of your preference.

Diverse Projects: Different industries and technologies put your skills to test.

Increased Earning Potential: When most people make the shift toward freelancing, they rapidly find that the rates offered often surpass customary salaries-with growing experience.

Skill Growth: New learning keeps on taking place in terms of new technology and problem-solving.

Autonomy: Your own person and the evolution of your brand.

Top Programming Languages for Freelancing in India:

Python:

Why it's great for freelancing: Python's versatility is its superpower. It's used for web development (Django, Flask), data science, machine learning, AI, scripting, automation, and even basic game development. This wide range of applications means a vast pool of freelance projects. Clients often seek Python developers for data analysis, building custom scripts, or developing backend APIs.

Freelance Project Examples: Data cleaning scripts, AI model integration, web scraping, custom automation tools, backend for web/mobile apps.

JavaScript (with Frameworks like React, Angular, Node.js):

Why it's great for freelancing: JavaScript is indispensable for web development. As the language of the internet, it allows you to build interactive front-end interfaces (React, Angular, Vue.js) and powerful back-end servers (Node.js). Full-stack JavaScript developers are in exceptionally high demand.

Freelance Project Examples: Interactive websites, single-page applications (SPAs), e-commerce platforms, custom web tools, APIs.

PHP (with Frameworks like Laravel, WordPress):

Why it's great for freelancing: While newer languages emerge, PHP continues to power a significant portion of the web, including WordPress – which dominates the CMS market. Knowledge of PHP, especially with frameworks like Laravel or Symfony, opens up a massive market for website development, customization, and maintenance.

Freelance Project Examples: WordPress theme/plugin development, custom CMS solutions, e-commerce site development, existing website maintenance.

Java:

Why it's great for freelancing: Java is a powerhouse for enterprise-level applications, Android mobile app development, and large-scale backend systems. Many established businesses and startups require Java expertise for robust, scalable solutions.

Freelance Project Examples: Android app development, enterprise software development, backend API development, migration projects.

SQL (Structured Query Language):

Why it's great for freelancing: While not a full-fledged programming language for building applications, SQL is the language of databases, and almost every application relies on one. Freelancers proficient in SQL can offer services in database design, optimization, data extraction, and reporting. It often complements other languages.

Freelance Project Examples: Database design and optimization, custom report generation, data migration, data cleaning for analytics projects.

Swift/Kotlin (for Mobile Development):

Why it's great for freelancing: With the explosive growth of smartphone usage, mobile app development remains a goldmine for freelancers. Swift is for iOS (Apple) apps, and Kotlin is primarily for Android. Specializing in one or both can carve out a lucrative niche.

Freelance Project Examples: Custom mobile applications for businesses, utility apps, game development, app maintenance and updates.

How to Choose Your First Freelance Language:

Consider Your Interests: What kind of projects excite you? Web, mobile, data, or something else?

Research Market Demand: Look at popular freelance platforms (Upwork, Fiverr, Freelancer.in) for the types of projects most requested in India.

Start with a Beginner-Friendly Language: Python or JavaScript is an excellent start due to their immense resources and helpful communities.

Focus on a Niche: Instead of trying to learn everything, go extremely deep on one or two languages within a domain (e.g., Python for data science, JavaScript for MERN stack development).

To be a successful freelance programmer in India, technical skills have to be combined with powerful communication, project management, and self-discipline. By mastering either one or all of these top programming languages, you will be set to seize exciting opportunities and project yourself as an independent professional in the ever-evolving digital domain.

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