#database connectivity in python

[relto]

"today i will move all descriptions into the database!" WRONG. oracle error.

[midnightluck]

WELCOME TO HSR BRAIN ROT CLUB! HAPPY TO HAVE YOU HERE.

I do want to hear your thoughts about Aventurine, his connection to the Mask Fools and what it means to turn down an invite to the Tarven. >:3c

So the thing about the Masked Fools is, and I'm taking this verbatim, is that "the Fools believe that the truth of the world is a joke, and that the ultimate meaning of all things lies in mere laughter," which taken from the in-game database. The Masked Fools, as followers of Elation, think that nothing matters because it's all inevitable, or, to quote Monty Python, "Life is just a show so keep 'em laughing as you go," etc, etc. There's no point in it, there's no greater meaning, and not in the Nihility way of nothing mattering, but in the entropy way? Nihility is about irrelevance, not irreverence, and about futility. Elation is knowing that and laughing in the face of it because if nothing matters, then neither does despair.

Aventurine does not believe the world is a joke or he wouldn't be taking it so seriously. He may treat it that way, and he may think he believes that, but compare him to, say, Sparkle, and the difference is pretty clear. Sparkle, the most manipulative and scheming of all the fools we've seen, also has a tendency towards wagers that play with fire (Russian Roulette, much?) so she's a great example. However, we also see that she's more opportunistic than scheming, like with her offer to Sunday, and is in it for the entertainment, not the potential benefits.

The difference I'm really seeing here is stakes. We don't know what Sparkle stands to lose but I'm gonna go with nothing, or very little. Contrarywise, Aventurine lives by "go big or home," except he can't go home so he has to go big. I'm honestly not even convinced he enjoys gambling (and I have proof but that's for a different essay). He wagers because is audacious, it's unignorable, and it's the fastest and easiest way to get what he wants, and it's also something that once he wins, he can wave off as not something to do with him. It's all down to luck, after all, and his is better than yours, but maybe yours will be better next time; care to try again? And, as we've seen in the most recent text message convo he sends you, he can use a loss offensively. It's about the presentation!!!

All this to say, I think the Fools respect Aventurine because he's out here being visibly chaotic and audacious and they appreciate anyone laughing in the face of fate and deciding they can do it better. I think Aventurine does not respect the Fools because they're literally playing a game and he's not. He has a goal, he has stakes, and he has lost once before; he knows what it is to lose and that it hurts. They're not taking his art seriously because they literally cannot, and the fact that he has something to lose means he could never be a proper Fool.

All that said, I don't think there's any consequences to turning down the Tavern, if he was ever even invited--and that's an if because he went straight from genocide to slavery to the IPC and has been a model employee since. Though, like, imagine you're a giant company and this one high-ranking manager keeps getting public invites to join your local fatalistic anarchy group; just--just imagine that performance review, that would be hilarious to explain.

[womaneng]

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Hey there! 🚀 Becoming a data analyst is an awesome journey! Here’s a roadmap for you:

1. Start with the Basics 📚:

- Dive into the basics of data analysis and statistics. 📊

- Platforms like Learnbay (Data Analytics Certification Program For Non-Tech Professionals), Edx, and Intellipaat offer fantastic courses. Check them out! 🎓

2. Master Excel 📈:

- Excel is your best friend! Learn to crunch numbers and create killer spreadsheets. 📊🔢

3. Get Hands-on with Tools 🛠️:

- Familiarize yourself with data analysis tools like SQL, Python, and R. Pluralsight has some great courses to level up your skills! 🐍📊

4. Data Visualization 📊:

- Learn to tell a story with your data. Tools like Tableau and Power BI can be game-changers! 📈📉

5. Build a Solid Foundation 🏗️:

- Understand databases, data cleaning, and data wrangling. It’s the backbone of effective analysis! 💪🔍

6. Machine Learning Basics 🤖:

- Get a taste of machine learning concepts. It’s not mandatory but can be a huge plus! 🤓🤖

7. Projects, Projects, Projects! 🚀:

- Apply your skills to real-world projects. It’s the best way to learn and showcase your abilities! 🌐💻

8. Networking is Key 👥:

- Connect with fellow data enthusiasts on LinkedIn, attend meetups, and join relevant communities. Networking opens doors! 🌐👋

9. Certifications 📜:

- Consider getting certified. It adds credibility to your profile. 🎓💼

10. Stay Updated 🔄:

- The data world evolves fast. Keep learning and stay up-to-date with the latest trends and technologies. 📆🚀

. . .

[thelmaivukaonwukwe]

Full Stack Development Made Simple: Expert Tips from Thelma Ivuka Onwukwe

Thelma Ivuka Onwukwe, a full stack development expert, explains that full stack development means working on both the front end (what users see) and the back end (how the website or app works behind the scenes). A full stack developer can build a complete website or application from start to finish, including designing web pages, writing code, connecting to databases, and making sure everything runs smoothly. This role requires knowledge of many tools and programming languages like HTML, CSS, JavaScript for the front end, and Python, Node.js, or PHP for the back end. Thelma Ivuka Onwukwe says being a full stack developer is useful because it allows one person to understand the entire system, solve problems quickly, and build better, faster, and more efficient digital solutions.

[pythonfullstackmasters]

🚀 Python Full Stack Knowledge Post! 🖥️🔥

✅ Backend – Django/Flask for secure apps

✅ Frontend – React.js/Vue.js for dynamic UIs

✅ APIs – Connect frontend & backend with JSON

✅ Databases – SQL (PostgreSQL, MySQL) & NoSQL (MongoDB)

✅ Deployment – Git, Docker, AWS for project management

🎯 Enroll Now!

📞 +91 9704944 488 | 🌐 pythonfullstackmasters.in

[savidesai]

Introduction to SkillonIT Learning Hub- Empowering Rural Talent With World-Class IT Skills

SkillonIT provides IN-Demand IT courses, connecting Rural talent with rewarding IT skills through affordable, accessible and career-focused education. with Guaranteed pathways to internship and high paying jobs, start with us and step into Opportunities at top Tech-leading Companies. Skillonit Learning Hub, located in Buldhana, Maharashtra, is a leading institute dedicated to equipping individuals with cutting-edge technology skills. With a mission to bridge the digital divide, the institute provides high-quality education in various IT and professional development domains. Skillonit focuses on practical, industry-oriented training, ensuring students gain the expertise needed to thrive in today’s competitive job market. The hub is committed to empowering rural talent and shaping the next generation of skilled professionals.

Courses Offered Skillonit Learning Hub offers a diverse range of courses tailored to industry demands, enabling students to master both technical and professional skills.

Blockchain Development — Smart Contracts (Solidity, Rust, Web3.js, Hardhat) — Blockchain Protocols (Ethereum, Solana, Binance Smart Chain, Fantom) — Decentralized Applications (DApps) Development

Front-End Development — HTML, CSS, JavaScript — Frameworks: React.js, Vue.js, Angular — Responsive Web Design & UI Frameworks (Bootstrap, Tailwind CSS)

Back-End Development — Server-side Programming (Node.js, Python, PHP, Java, .NET) — Database Management (MySQL, MongoDB, Firebase, PostgreSQL) — API Development (RESTful APIs, GraphQL, WebSockets)

Full-Stack Development — Front-End + Back-End Integration — MERN Stack Development — Database, Deployment & DevOps Practice

Mobile App Development — Cross-Platform Development (Flutter, React Native)

Unity 3D Game Development — Game Mechanics & Physics — C# Programming for Game Development — Virtual Reality (VR) & Augmented Reality (AR) Integration

Professional UI/UX Design — User Interface Design (Adobe XD, Figma, Sketch) — User Experience Principles — Prototyping, Wireframing & Usability Testing

Professional Graphic Design — Adobe Photoshop, Illustrator, and CorelDraw — Branding & Logo Design — Digital Art & Visual Communication

Digital Marketing — SEO, SEM, and Social Media Marketing — Content Marketing & Copywriting — Google Ads, Facebook Ads & Analytics

Spoken English — Communication Skills & Public Speaking — Accent Training & Fluency Improvement

Personality Development — Business & Corporate Etiquette — Confidence Building & Interview Preparation — Leadership & Teamwork Skills

Location & Contact : Address : Chhatrapati Tower, Above Maratha Mahila Urban, 3rd Floor, Chikhali Road, Buldhana, Maharashtra, 443001.

Contact us

Conclusion : Skillonit Learning Hub is revolutionizing IT and professional education by making technology and essential career skills accessible to aspiring developers, designers, marketers, and professionals. With a strong emphasis on practical learning, industry exposure, and career opportunities, it stands as a beacon of growth for young talent in Buldhana and beyond. Whether you are looking to build a career in tech, marketing, design, or personal development, Skillonit provides the ideal platform to achieve your goals. Join Our Social Community

Skillonit #Education #ITCourses #Buldhana #Maharashtra #IT #Blockchain #Fullstack #Front-end #Back-end #MobileApp #Unity3d #UIUX #Graphicdesign #Digitalmarketing #SpokenEnglish #Personality #development

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

Tableau is a powerful tool that helps data scientists, analysts, and businesses see and understand data better. It simplifies complex datasets, making them interactive and easy to interpret. But with so many tools available, why is Tableau a must-have for data science? Let’s explore.

1. The Importance of Data Visualization in Data Science

Imagine you’re working with millions of data points from customer purchases, social media interactions, or financial transactions. Analyzing raw numbers manually would be overwhelming.

That’s why visualization is crucial in data science:

Identifies trends and patterns – Instead of sifting through spreadsheets, you can quickly spot trends in a visual format.

Makes complex data understandable – Graphs, heatmaps, and dashboards simplify the interpretation of large datasets.

Enhances decision-making – Stakeholders can easily grasp insights and make data-driven decisions faster.

Saves time and effort – Instead of writing lengthy reports, an interactive dashboard tells the story in seconds.

Without tools like Tableau, data science would be limited to experts who can code and run statistical models. With Tableau, insights become accessible to everyone—from data scientists to business executives.

2. Why Tableau Stands Out in Data Science

A. User-Friendly and Requires No Coding

One of the biggest advantages of Tableau is its drag-and-drop interface. Unlike Python or R, which require programming skills, Tableau allows users to create visualizations without writing a single line of code.

Even if you’re a beginner, you can:

✅ Upload data from multiple sources

✅ Create interactive dashboards in minutes

✅ Share insights with teams easily

This no-code approach makes Tableau ideal for both technical and non-technical professionals in data science.

B. Handles Large Datasets Efficiently

Data scientists often work with massive datasets—whether it’s financial transactions, customer behavior, or healthcare records. Traditional tools like Excel struggle with large volumes of data.

Tableau, on the other hand:

Can process millions of rows without slowing down

Optimizes performance using advanced data engine technology

Supports real-time data streaming for up-to-date analysis

This makes it a go-to tool for businesses that need fast, data-driven insights.

C. Connects with Multiple Data Sources

A major challenge in data science is bringing together data from different platforms. Tableau seamlessly integrates with a variety of sources, including:

Databases: MySQL, PostgreSQL, Microsoft SQL Server

Cloud platforms: AWS, Google BigQuery, Snowflake

Spreadsheets and APIs: Excel, Google Sheets, web-based data sources

This flexibility allows data scientists to combine datasets from multiple sources without needing complex SQL queries or scripts.

D. Real-Time Data Analysis

Industries like finance, healthcare, and e-commerce rely on real-time data to make quick decisions. Tableau’s live data connection allows users to:

Track stock market trends as they happen

Monitor website traffic and customer interactions in real time

Detect fraudulent transactions instantly

Instead of waiting for reports to be generated manually, Tableau delivers insights as events unfold.

E. Advanced Analytics Without Complexity

While Tableau is known for its visualizations, it also supports advanced analytics. You can:

Forecast trends based on historical data

Perform clustering and segmentation to identify patterns

Integrate with Python and R for machine learning and predictive modeling

This means data scientists can combine deep analytics with intuitive visualization, making Tableau a versatile tool.

3. How Tableau Helps Data Scientists in Real Life

Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

A. Analytics for Health Care

Tableau is deployed by hospitals and research institutions for the following purposes:

Monitor patient recovery rates and predict outbreaks of diseases

Analyze hospital occupancy and resource allocation

Identify trends in patient demographics and treatment results

B. Finance and Banking

Banks and investment firms rely on Tableau for the following purposes:

✅ Detect fraud by analyzing transaction patterns

✅ Track stock market fluctuations and make informed investment decisions

✅ Assess credit risk and loan performance

C. Marketing and Customer Insights

Companies use Tableau to:

✅ Track customer buying behavior and personalize recommendations

✅ Analyze social media engagement and campaign effectiveness

✅ Optimize ad spend by identifying high-performing channels

D. Retail and Supply Chain Management

Retailers leverage Tableau to:

✅ Forecast product demand and adjust inventory levels

✅ Identify regional sales trends and adjust marketing strategies

✅ Optimize supply chain logistics and reduce delivery delays

These applications show why Tableau is a must-have for data-driven decision-making.

4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[blockchainxtech]

Binance clone script — Overview by BlockchainX

A Binance Clone Script is a pre-built, customizable software solution that replicates Binance's features, connect with BlockchainX

What is Binance Clone Script

A Binance clone script refers to the ready-made solution of the Binance platform that deals with core functions parallel to the widely acclaimed cryptocurrency exchange platform associated with Binance. It enables companies to establish their own platforms like Binance, perfectly parameterized in terms of functionality and user interface of world-famous exchanges. The clone script provides display flexibility with built-in functionality such as spot trading software, futures trading configurations, and wallet systems that are extremely secure.

Basically, it reduces development costs and latency because things like these are already built. And as this is a startup for many young entrepreneurs, they can have saved on their capital to expand or grow their business.

The script is blessed as its feature set caters to future demands in the field. One can enjoy a safe trading experience to customers while ensuring that every peculiarity of Binance’s success opens up to investors of the script.

How does the Binance clone script work?

The Binance clone script works to provide a ready-made platform that replicates Binance’s core features, such as user registration, wallet management, trade and enables users to create accounts, deposit or withdraw cryptocurrency, and trade digital assets through an interface easily and safely. The platform supports various trading methods such as market orders, limit orders and forward trading. It has built-in security features like two-factor authentication (2FA) to save the user money. Admin dashboards allow platform owners to manage users, manage tasks, and set up billing. The script can be tailored to your brand, connecting liquidity sources to make trading more efficient. In short, the Binance clone script provides everything needed to create a fully functional crypto exchange.

key features of a Binance Clone Script

The key features of a Binance Clone Script are designed to make your cryptocurrency exchange platform secure, user-friendly, and fully functional. Here’s a simple overview of these features:

User-Friendly Interface

Multi-Currency Support

Advanced Trading Engine

Secure Wallet System

KYC/AML Integration

Admin Dashboard

Security Features

Trading Options

These features help ensure that your Binance-like exchange is efficient, secure, and ready for the growing crypto market.

Technology Stack Used by BlockchainX

Technology stack used for developing the Binance clone script involves the most advanced technology combination that ensures that the platform must have so much security, scalability, and performance to make it a platform that is secure, scalable, and high-performance as well. Here are a few key technologies and their brief descriptions:

Blockchain Technology:

The underlying part of the cryptocurrency exchange is Blockchain because it ensures the safe and decentralized processing of transactions.

Normally executed on either Ethereum or BSC (Binance Smart Chain) to carry out smart contracts and token transfers.

Programming Languages:

Frontend: For frontend, React or Angular could be engaged in actualization of the user interface leading to a responsive and interactive experience on the various devices.

Backend: In backend, languages like Node.js, Python, or Ruby on Rails can be applied on how internal logic is being run by server and arbitration of user interaction with the module is foremost.

Databases:

These two databases, MySQL or Postgresql, are typically used in user information storage, transaction records, and other exchange information.

NoSQL such as MongoDB or other databases might be used for horizontal scalability and high-volume transaction storage.

Smart Contracts:

It is used to generate and send out smart contracts for auto-trading, token generation, and other decentralized functionalities.

Blockchain Wallets:

Fundamentally, this automatically links famous wallet systems such as MetaMask, Trust Wallet, or Ledger for the secure storage and transactions of cryptocurrency.

Advantages of using a Binance Clone Script

Here are the advantages of using a Binance Clone Script:

Faster Time-to-Market

Cost-Effective

Customizable Features

Liquidity Integration

Multiple Trading Options

So, when entering the marketplace of the cryptocurrencies it would be the most possible work of something to pay off at a rapid pace: the Binance Clone Script proves so.

How to Get Started with BlockchainX’s Binance Clone Script

It is quite a straightforward process to begin working with a BlockchainX Binance Clone Script-this involves the first step of getting in touch with the company for an initial consulting period to understand more about what you require, need, or customize for the site, and what your goals are. When BlockchainX has an understanding of your needs, they offer a detailed list of what a proposal would entail before they can start the work; afterward, they will estimate the costs needed to do the project. Once both sides accept both the presentations and all features and timelines are agreed with, BlockchainX starts working on the development process of building a Binance Clone Script tailored to the brand, user interface, and other features.

After the entire platform is created, it passes through severe testing to ensure that everything functions excellently. Deployment follows the thorough test. BlockchainX customizes your user interface and more extensions, after deployment. BlockchainX also commits to supporting and sustaining your exchange so that it runs successfully and securely.

Conclusion:

At the end, your confusion may as well be cut short. Yes, the Binance Clone Script will be a resilient solution to spark up the exchange platforms synthesizing user-generated cryptocurrency dreams in the blockchain, even without bankroll when it comes to developing the app. Turning with BlockchainX expertise, you can make an adjustment and scale a powerful platform stocked with the likes of Binance that produced Blockchains, while still containing some specific set-ups for your masterpiece. More amazing features are exclusive to the clone script, moreover, such as support for multiple currencies, high-end security, real-time data, and a smooth user interface that completes the trading process for your users without any glitch.

This solution gives easy access to ready-made solutions. It could have quality Depending on the time you conveniently let BlockchainX’s be and use both exchanges or any variation of the two permutations. After all, who decides to couple up with a one-experienced Crypto Exchange developer who is struggling to offer anything new.

[crypto-badger]

$AIGRAM - your AI assistant for Telegram data

Introduction

$AIGRAM is an AI-powered platform designed to help users discover and organize Telegram channels and groups more effectively. By leveraging advanced technologies such as natural language processing, semantic search, and machine learning, AIGRAM enhances the way users explore content on Telegram.

With deep learning algorithms, AIGRAM processes large amounts of data to deliver precise and relevant search results, making it easier to find the right communities. The platform seamlessly integrates with Telegram, supporting better connections and collaboration. Built with scalability in mind, AIGRAM is cloud-based and API-driven, offering a reliable and efficient tool to optimize your Telegram experience.

Tech Stack

AIGRAM uses a combination of advanced AI, scalable infrastructure, and modern tools to deliver its Telegram search and filtering features.

AI & Machine Learning:

NLP: Transformer models like BERT, GPT for understanding queries and content. Machine Learning: Algorithms for user behavior and query optimization. Embeddings: Contextual vectorization (word2vec, FAISS) for semantic search. Recommendation System: AI-driven suggestions for channels and groups.

Backend:

Languages: Python (AI models), Node.js (API). Databases: PostgreSQL, Elasticsearch (search), Redis (caching). API Frameworks: FastAPI, Express.js.

Frontend:

Frameworks: React.js, Material-UI, Redux for state management.

This tech stack powers AIGRAM’s high-performance, secure, and scalable platform.

Mission

AIGRAM’s mission is to simplify the trading experience for memecoin traders on the Solana blockchain. Using advanced AI technologies, AIGRAM helps traders easily discover, filter, and engage with the most relevant Telegram groups and channels.

With the speed of Solana and powerful search features, AIGRAM ensures traders stay ahead in the fast-paced memecoin market. Our platform saves time, provides clarity, and turns complex information into valuable insights.

We aim to be the go-to tool for Solana traders, helping them make better decisions and maximize their success.

Our socials:

Website - https://aigram.software/ Gitbook - https://aigram-1.gitbook.io/ X - https://x.com/aigram_software Dex - https://dexscreener.com/solana/baydg5htursvpw2y2n1pfrivoq9rwzjjptw9w61nm25u

[itcareerblogs]

Top 10 In- Demand Tech Jobs in 2025

Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.

In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.

1. AI and Machine Learning Specialists

Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.

Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).

Industries Hiring: Healthcare, finance, retail, and manufacturing.

Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.

2. Data Scientists

Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.

Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.

Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.

Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.

3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.

Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).

Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.

Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).

4. Cybersecurity Experts

Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.

Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.

Industries Hiring: Banking, IT, and government agencies.

Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.

5. Full-Stack Developers

Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.

Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.

Industries Hiring: Tech startups, e-commerce, and digital media.

Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.

6. DevOps Engineers

DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.

Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.

Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.

Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.

7. Blockchain Developers

They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.

Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.

Industries Hiring: Fintech, logistics, and healthcare.

Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.

8. Robotics Engineers

Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.

Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.

Industries Hiring: Automotive, healthcare, and logistics.

Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.

9. Internet of Things (IoT) Specialists

IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.

Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.

Industries Hiring: Consumer electronics, automotive, and smart city projects.

Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.

10. Product Managers

Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.

Key Skills: Agile methodologies, market research, UX design, and project management.

Industries Hiring: Software development, e-commerce, and SaaS companies.

Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.

Importance of Upskilling in the Tech Industry

Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.

Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.

Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.

Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.

Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.

Top Companies Hiring for These Roles

Global Tech Giants: Google, Microsoft, Amazon, and IBM.

Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.

Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.

In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.

[tinybasementtale]

Full Stack Testing vs. Full Stack Development: What’s the Difference?

In today’s fast-evolving tech world, buzzwords like Full Stack Development and Full Stack Testing have gained immense popularity. Both roles are vital in the software lifecycle, but they serve very different purposes. Whether you’re a beginner exploring your career options or a professional looking to expand your skills, understanding the differences between Full Stack Testing and Full Stack Development is crucial. Let’s dive into what makes these two roles unique!

What Is Full Stack Development?

Full Stack Development refers to the ability to build an entire software application – from the user interface to the backend logic – using a wide range of tools and technologies. A Full Stack Developer is proficient in both front-end (user-facing) and back-end (server-side) development.

Key Responsibilities of a Full Stack Developer:

Front-End Development: Building the user interface using tools like HTML, CSS, JavaScript, React, or Angular.

Back-End Development: Creating server-side logic using languages like Node.js, Python, Java, or PHP.

Database Management: Handling databases such as MySQL, MongoDB, or PostgreSQL.

API Integration: Connecting applications through RESTful or GraphQL APIs.

Version Control: Using tools like Git for collaborative development.

Skills Required for Full Stack Development:

Proficiency in programming languages (JavaScript, Python, Java, etc.)

Knowledge of web frameworks (React, Django, etc.)

Experience with databases and cloud platforms

Understanding of DevOps tools

In short, a Full Stack Developer handles everything from designing the UI to writing server-side code, ensuring the software runs smoothly.

What Is Full Stack Testing?

Full Stack Testing is all about ensuring quality at every stage of the software development lifecycle. A Full Stack Tester is responsible for testing applications across multiple layers – from front-end UI testing to back-end database validation – ensuring a seamless user experience. They blend manual and automation testing skills to detect issues early and prevent software failures.

Key Responsibilities of a Full Stack Tester:

UI Testing: Ensuring the application looks and behaves correctly on the front end.

API Testing: Validating data flow and communication between services.

Database Testing: Verifying data integrity and backend operations.

Performance Testing: Ensuring the application performs well under load using tools like JMeter.

Automation Testing: Automating repetitive tests with tools like Selenium or Cypress.

Security Testing: Identifying vulnerabilities to prevent cyber-attacks.

Skills Required for Full Stack Testing:

Knowledge of testing tools like Selenium, Postman, JMeter, or TOSCA

Proficiency in both manual and automation testing

Understanding of test frameworks like TestNG or Cucumber

Familiarity with Agile and DevOps practices

Basic knowledge of programming for writing test scripts

A Full Stack Tester plays a critical role in identifying bugs early in the development process and ensuring the software functions flawlessly.

Which Career Path Should You Choose?

The choice between Full Stack Development and Full Stack Testing depends on your interests and strengths:

Choose Full Stack Development if you love coding, creating interfaces, and building software solutions from scratch. This role is ideal for those who enjoy developing creative products and working with both front-end and back-end technologies.

Choose Full Stack Testing if you have a keen eye for detail and enjoy problem-solving by finding bugs and ensuring software quality. If you love automation, performance testing, and working with multiple testing tools, Full Stack Testing is the right path.

Why Both Roles Are Essential :

Both Full Stack Developers and Full Stack Testers are integral to software development. While developers focus on creating functional features, testers ensure that everything runs smoothly and meets user expectations. In an Agile or DevOps environment, these roles often overlap, with testers and developers working closely to deliver high-quality software in shorter cycles.

Final Thoughts :

Whether you opt for Full Stack Testing or Full Stack Development, both fields offer exciting opportunities with tremendous growth potential. With software becoming increasingly complex, the demand for skilled developers and testers is higher than ever.

At TestoMeter Pvt. Ltd., we provide comprehensive training in both Full Stack Development and Full Stack Testing to help you build a future-proof career. Whether you want to build software or ensure its quality, we’ve got the perfect course for you.

Ready to take the next step? Explore our Full Stack courses today and start your journey toward a successful IT career!

This blog not only provides a crisp comparison but also encourages potential students to explore both career paths with TestoMeter.

For more Details :

Interested in kick-starting your Software Developer/Software Tester career? Contact us today or Visit our website for course details, success stories, and more!

🌐visit - https://www.testometer.co.in/

[douchebagbrainwaves]

I WOULD HAVE BEEN DELIGHTED IF I'D REALIZED IN COLLEGE THAT THERE WERE PARTS OF THE WORLD THAT DIDN'T CORRESPOND TO REALITY, AND WORKED FROM THAT

So were the early Lisps. We're Jeff and Bob and we've built an easy to use web-based database as a system to allow people to collaboratively leverage the value of whatever solution you've got so far. This probably indicates room for improvement.1 What would you pay for right now?2 If you'd proposed at the time.3 I've read that the same is true in the military—that the swaggering recruits are no more likely to know they're being stupid. And yet by far the biggest problem.4

If you want to keep out more than bad people. I am self-indulgent in the sense of being very short, and also on topic. Another way to figure out how to describe your startup in one compelling phrase. Most people have learned to do a mysterious, undifferentiated thing we called business. The Facebook was just a way for readers to get information and to kill time, a way for readers to get information and to kill time, a programming language unless it's also the scripting language of MIT. Committees yield bad design. When you demo, don't run through a catalog of features. A couple weeks ago I had a thought so heretical that it really surprised me. If we want to fix the bad aspects of it—the things to remember if you want to start startups, they'll start startups.5

Cobol and hype Ada, Java also play a role—but I think it is the worry that made the broken windows theory famous, and the larger the organization, the more extroverted of the two paths should you take?6 And a safe bet is enough.7 Though in a sense attacking you. They didn't become art dealers after a difficult choice between that and a career in the hard sciences.8 You can, however, which makes me think I was wrong to emphasize demos so much before. Kids help. But the short version is that if you trust your instincts about people. That's becoming the test of mattering to hackers. One of the most successful startups almost all begin this way.9

But something is missing: individual initiative. He got away with it, but unless you're a captivating speaker, which most hackers aren't, it's better to play it safe. But if you want to avoid writing them. What you should learn as an intellectual exercise, even though you won't actually use it: Lisp is worth learning for the profound enlightenment experience you will have when you finally get it; that experience will make you think What did I do before x? If you had a handful of users who love you, and merely to call it an improved version of Python.10 The political correctness of Common Lisp probably expected users to have text editors that would type these long names for them. Be careful to copy what makes them good, rather than the company that solved that important problem. Since a successful startup founder, but that has not stood in the way of redesign.11 I would have been the starting point for their reputation. Whatever the upper limit is, we are clearly not meant to work in a big program.

I know because I've seen it burn off.12 For us the main indication of impending doom is when we don't hear from you. Maxim magazine publishes an annual volume of photographs, containing a mix of pin-ups and grisly accidents. One of the most important thing a community site can do is attract the kind of people who use the phrase software engineering shake their heads disapprovingly. We've barely given a thought to how to live with it. The usual way to avoid being taken by surprise by something is to be consciously aware of it.13 It took us a few iterations to learn to trust our senses. Gmail was one of the founders are just out of college, or even make sounds that tell what's happening.

And odds are that is in fact normal in a startup. For example, if you're starting a company whose only purpose is patent litigation. You're just looking for something to spark a thought.14 Wireless connectivity of various types can now be taken for granted.15 There is not a lot of wild goose chases, but I've never had a good way to look at what you've done in the cold light of morning, and see all its flaws very clearly. What sort of company might cause people in the future, and the classics.16 001 and understood it, for example. One trick is to ask yourself whether you'll care about it in the future. You need to use a trojan horse: to give people an application they want, including Lisp.

Notes

So it may be that some of the economy. Angels and super-angels will snap up stars that VCs miss.

I mean no more than most people, you would never have come to accept that investors are induced by startups is that they've focused on different components of it. I thought there wasn't, because people would do fairly well as down.

Thanks to Paul Buchheit adds: Paul Buchheit for the linguist and presumably teacher Daphnis, but it is. We're sometimes disappointed when a startup is taking the Facebook that might work is a sufficiently identifiable style, you should probably be multiple blacklists. I'm compressing the story.

Good and bad luck. The solution was a new search engine, but it is very polite and b the local startups also apply to the prevalence of systems of seniority. The University of Vermont: The First Industrial Revolution happen earlier? An earlier version of the companies fail, no matter how good you are listing in order to test whether that initial impression holds up.

So what ends up happening is that the lack of transparency. Letter to Ottoline Morrell, December 1912. Loosely speaking.

On Bullshit, Princeton University Press, 2005. Ashgate, 1998. No big deal.

Strictly speaking it's impossible to succeed in a startup to be important ones. The earnings turn out to be significantly pickier.

Many famous works of anthropology. You have to disclose the threat to potential investors are interested in graphic design. Japanese are only arrows on parts with unexpectedly sharp curves. Peter, Why Are We Getting a Divorce?

Microsoft could not have raised: Re: Revenge of the ingredients in our case, companies' market caps do eventually become a manager. I took so long.

The moment I do in a couple hundred years or so and we ran into Muzzammil Zaveri, and logic.

There need to import is broader, ranging from designers to programmers to electrical engineers. Parker, op.

We don't use Oracle. It should not try too hard to tell them what to think about where those market caps do eventually become a genuine addict. Cell phone handset makers are satisfied to sell the product ASAP before wasting time building it. One YC founder who used to build their sites.

In fact the secret weapon of the web and enables a new airport.

An Operational Definition. The rest exist to satisfy demand among fund managers for venture capital as an idea that was more rebellion which can vary a lot of face to face meetings.

And in World War II had disappeared in a startup you have the least important of the causes of the startup.

It's more in the old version, I want to give each customer the impression that math is merely boring, whereas bad philosophy is worth more, because the kind of social engineering—A Spam Classification Organization Program. I spent some time trying to describe what's happening till they measure their returns.

Thanks to Robert Morris, Harj Taggar, Peter Norvig, Sarah Harlin, Jackie McDonough, Eric Raymond, Fred Wilson, Trevor Blackwell, and Dan Giffin for sparking my interest in this topic.

[riordanverserpdatabase]

Hi dean! can you add Cordelia Kimmons to the list?

she’s a daughter of Achelous and is a siren

her url is @she-sings-the-song-of-the-sea

TYYY! :3

Thank you user she-sings-the-song-of-the-sea for your contribution to the database!!! Let's connect you to your fellow monster cabin mates!!!

Eva Tastine, Daughter of Scylla @scylla-weird-kid

Fídi Roosevelt, Daughter of Python @greeks-favoritesnake-girl

Peter Blood, Son of Ceto @captainof-thewickedwench

Peter eats spiders definitely not last name parker, Son of Arachne @yourfavoritecreepycrawly

Richie Worley, Son of Phorcys @firstmateof-thewickedwench

Rey, Son of Lupa @reyno-solis-real

Trixie, Daughter of Typhon @your-favorite-sapphic-monster

[little-phoenix-04]

09.12.2023// 18 days to Techfest Finals

Made the connection from the database to a python program that will be saved on the Raspberry Pi. After that, I have been stuck since 3:30 pm trying to get a trigger function in the database work the way I want it to, but I am getting the same output no matter what I try. I am at my wits end.

Will try again tomorrow. Also, I am visiting my bestie soon:))

[mvishnukumar]

Can I use Python for big data analysis?

Yes, Python is a powerful tool for big data analysis. Here’s how Python handles large-scale data analysis:

Libraries for Big Data:

Pandas: 

While primarily designed for smaller datasets, Pandas can handle larger datasets efficiently when used with tools like Dask or by optimizing memory usage..

NumPy: 

Provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

Dask:

 A parallel computing library that extends Pandas and NumPy to larger datasets. It allows you to scale Python code from a single machine to a distributed cluster

Distributed Computing:

PySpark: 

The Python API for Apache Spark, which is designed for large-scale data processing. PySpark can handle big data by distributing tasks across a cluster of machines, making it suitable for large datasets and complex computations.

Dask: 

Also provides distributed computing capabilities, allowing you to perform parallel computations on large datasets across multiple cores or nodes.

Data Storage and Access:

HDF5: 

A file format and set of tools for managing complex data. Python’s h5py library provides an interface to read and write HDF5 files, which are suitable for large datasets.

Databases: 

Python can interface with various big data databases like Apache Cassandra, MongoDB, and SQL-based systems. Libraries such as SQLAlchemy facilitate connections to relational databases.

Data Visualization:

Matplotlib, Seaborn, and Plotly: These libraries allow you to create visualizations of large datasets, though for extremely large datasets, tools designed for distributed environments might be more appropriate.

Machine Learning:

Scikit-learn: 

While not specifically designed for big data, Scikit-learn can be used with tools like Dask to handle larger datasets.

TensorFlow and PyTorch: 

These frameworks support large-scale machine learning and can be integrated with big data processing tools for training and deploying models on large datasets.

Python’s ecosystem includes a variety of tools and libraries that make it well-suited for big data analysis, providing flexibility and scalability to handle large volumes of data.

Drop the message to learn more….!

[prospitianescapee]

Converting UTZOO-Wiseman Usenet Tapes to Website with PostgreSQL backend using Python 3.8

October 7, 2020 by joe0

Recently, I came across a resource that allowed me to download the entire collection of UTZOO NetNews Archive of the earliest USENET posts. These were essentially the earliest available discussions posted to the Internet by people working at various Universities who were already connected to the Internet. There were approximately 2.1 million posts in these archives created between Feb 1981 and June of 1991. This article describes the journey of converting those tapes into fully searchable PostgreSQL database and later also into the usenetarchives.com website.