#Open API-Based Platform

[onetechavenue]

ManageEngine Ushers in a New Era of Customizable and Unified Security Analytics With Its Open API-Based Platform

Log360 transforms security operations from a cost center to a strategic asset Open APIs and community-driven innovation ensure rapid response to emerging threats while reducing total ownership costs Partnership forged with Sacumen, a specialist cybersecurity firm, to build connectors Learn more about the unified security capabilities of the Log360 platform…

[digitaldetoxworld]

Web to Mobile: Building Seamless Apps with .NET"

 .NET is a effective, flexible, and open-supply developer platform created with the aid of Microsoft. It enables the creation of a huge range of applications—from computing device to cellular, net, cloud, gaming, and IoT. Over the years, .NET has evolved substantially and has become one of the maximum extensively used frameworks inside the software improvement enterprise.

Dot Net Programming Language

A Brief History of .NET

The .NET Framework become first delivered through Microsoft in the early 2000s. The original cause turned into to offer a steady item-oriented programming surroundings regardless of whether code became stored and finished locally, remotely, or via the internet.

Over time, Microsoft developed .NET right into a cross-platform, open-supply framework. In 2016, Microsoft launched .NET Core, a modular, high-performance, cross-platform implementation of .NET. In 2020, the company unified all its .NET technologies beneath one umbrella with the discharge of .NET five, and later persisted with .NET 6, .NET 7, and past.

Today, the unified platform is actually called .NET, and it allows builders to build apps for Windows, macOS, Linux, iOS, Android, and greater using a single codebase.

Key Features of .NET

1. Cross-Platform Development

One of the maximum tremendous features of present day .NET (publish .NET Core) is its ability to run on a couple of platforms. Developers can construct and deploy apps on Windows, Linux, and macOS with out enhancing their codebases.

2. Multiple Language Support

.NET supports numerous programming languages, together with:

C# – the maximum extensively used language in .NET development

F# – a purposeful-first programming language

Visual Basic – an smooth-to-analyze language, regularly used in legacy programs

This multilingual capability allows developers to pick out the nice language for their precise use cases.

3. Extensive Library and Framework Support

.NET offers a comprehensive base magnificence library (BCL) and framework libraries that aid the whole lot from record studying/writing to XML manipulation, statistics get entry to, cryptography, and extra.

Four. ASP.NET for Web Development

ASP.NET is a part of the .NET platform specially designed for net improvement. ASP.NET Core, the cross-platform model, permits builders to build scalable internet APIs, dynamic web sites, and actual-time packages the usage of technology like SignalR.

5. Rich Development Environment

.NET integrates seamlessly with Visual Studio, one of the most function-wealthy integrated development environments (IDEs) available. Visual Studio offers capabilities together with IntelliSense, debugging tools, challenge templates, and code refactoring.

6. Performance and Scalability

.NET is thought for high performance and scalability, especially with its guide for asynchronous programming using async/wait for and its Just-In-Time (JIT) compilation.

7. Secure and Reliable

.NET presents sturdy safety features, including code get entry to security, role-based protection, and cryptography training. It also handles reminiscence management thru rubbish series, minimizing reminiscence leaks.

Common Applications Built with .NET

1. Web Applications

With ASP.NET Core, builders can create cutting-edge, scalable internet programs and RESTful APIs. Razor Pages and Blazor are technology within ASP.NET Core that help server-facet and purchaser-facet rendering.

2. Desktop Applications

Using Windows Forms or Windows Presentation Foundation (WPF), builders can build conventional computing device applications. .NET MAUI (Multi-platform App UI) now extends this functionality to move-platform computer and cellular programs.

3. Mobile Applications

Through Xamarin (now incorporated into .NET MAUI), developers can create native mobile applications for Android and iOS the usage of C#.

4. Cloud-Based Applications

.NET is nicely-acceptable for cloud development, in particular with Microsoft Azure. Developers can build cloud-local apps, serverless capabilities, and containerized microservices the usage of Docker and Kubernetes.

5. IoT Applications

.NET helps Internet of Things (IoT) development, allowing builders to construct applications that engage with sensors and gadgets.

6. Games

With the Unity sport engine, which helps C#, developers can use .NET languages to create 2D, three-D, AR, and VR games.

Components of .NET

1. .NET SDK

The Software Development Kit includes everything had to build and run .NET packages: compilers, libraries, and command-line tools.

2. CLR (Common Language Runtime)

It handles reminiscence control, exception managing, and rubbish collection.

Three. BCL (Base Class Library)

The BCL offers center functionalities including collections, record I/O, records kinds, and extra.

4. NuGet

NuGet is the package manager for .NET. It lets in builders to install, manage, and share libraries without problems.

Modern .NET Versions

.NET five (2020): Unified the .NET platform (Core + Framework)

.NET 7 (2022): Further overall performance enhancements and more desirable APIs

.NET 8 (2023): Continued attention on cloud-native, cellular, and web improvement

Advantages of Using .NET

Cross-platform assist – construct as soon as, run everywhere

Large developer network – widespread sources, libraries, and frameworks

Robust tooling – especially with Visual Studio and JetBrains Rider

Active improvement – backed by using Microsoft and open-source community

Challenges and Considerations

Learning curve – particularly for beginners due to its giant atmosphere

Legacy framework – older .NET Framework tasks aren't like minded with .NET Core or more recent variations without migration

Platform differences – sure APIs or libraries might also behave in a different way throughout operating systems

Getting Started with .NET

To begin growing with .NET:

Install the .NET SDK from the legitimate .NET internet site.

Create a new project: Use the dotnet new command or Visual Studio templates.

Write code: Develop your logic the usage of C#, F#, or VB.NET.

[soviet-siscon]

hi julie! hope you're doing well. i'm not up to much new other than silly programming stuff with my partner, it was really fun learning opengl! i don't have any news regarding my sister but i wanted to say hi anyway. also i will be opening a new blog sometime soon so i can ask non-anonymously. anyway,

how are you? i try to keep up with your posts but there may be some that i missed. sisterly bliss looks fun! might try it myself. and i hope you figure out what that weird feeling was :>

that's all i think :3

- 🍇

Cute! I've never been good at programming, the best i could do was python and I am bad at that. "Cross platform graphics API" is magic words i barely understand, BUT i do feel confident in saying that OpenGL stands for Open Girls Love.

I very rarely get non anonymous asks (understandably) so yay that'll be fun and I hope you enjoy having a dedicated blog.

I'm all over the place honestly but mostly chill! Sisterly Bliss has been pretty good so far! I've been enjoying the story a lot and it's cool having a lot of the conflict based around their mum. although i will say that $24.95 USD is not a fun money conversion :(

At least I have the game DRM free so i can always just send it to people if they want (if i can work out an easy way to do that lol).

I'm mostly feeling better now, not really sure what the feeling was but at least it's gone. thank u for the lovely message and it's nice to hear from u :)

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[thebrandscalingexpert]

How to Develop a P2P Crypto Exchange and How Much Does It Cost?

With the rise of cryptocurrencies, Peer-to-Peer (P2P) crypto exchanges have become a popular choice for users who want to trade digital assets directly with others. These decentralized platforms offer a more secure, private, and cost-effective way to buy and sell cryptocurrencies. If you’re considering building your own P2P crypto exchange, this blog will guide you through the development process and give you an idea of how much it costs to create such a platform.

What is a P2P Crypto Exchange?

A P2P crypto exchange is a decentralized platform that allows users to buy and sell cryptocurrencies directly with each other without relying on a central authority. These exchanges connect buyers and sellers through listings, and transactions are often protected by escrow services to ensure fairness and security. P2P exchanges typically offer lower fees, more privacy, and a variety of payment methods, making them an attractive alternative to traditional centralized exchanges.

Steps to Develop a P2P Crypto Exchange

Developing a P2P crypto exchange involves several key steps. Here’s a breakdown of the process:

1. Define Your Business Model

Before starting the development, it’s important to define the business model of your P2P exchange. You’ll need to decide on key factors like:

Currency Support: Which cryptocurrencies will your exchange support (e.g., Bitcoin, Ethereum, stablecoins)?

Payment Methods: What types of payment methods will be allowed (bank transfer, PayPal, cash, etc.)?

Fees: Will you charge a flat fee per transaction, a percentage-based fee, or a combination of both?

User Verification: Will your platform require Know-Your-Customer (KYC) verification?

2. Choose the Right Technology Stack

Building a P2P crypto exchange requires selecting the right technology stack. The key components include:

Backend Development: You'll need a backend to handle user registrations, transaction processing, security protocols, and matching buy/sell orders. Technologies like Node.js, Ruby on Rails, or Django are commonly used.

Frontend Development: The user interface (UI) must be intuitive, secure, and responsive. HTML, CSS, JavaScript, and React or Angular are popular choices for frontend development.

Blockchain Integration: Integrating blockchain technology to support cryptocurrency transactions is essential. This could involve setting up APIs for blockchain interaction or using open-source solutions like Ethereum or Binance Smart Chain (BSC).

Escrow System: An escrow system is crucial to protect both buyers and sellers during transactions. This involves coding or integrating a reliable escrow service that holds cryptocurrency until both parties confirm the transaction.

3. Develop Core Features

Key features to develop for your P2P exchange include:

User Registration and Authentication: Secure login options such as two-factor authentication (2FA) and multi-signature wallets.

Matching Engine: This feature matches buyers and sellers based on their criteria (e.g., price, payment method).

Escrow System: An escrow mechanism holds funds in a secure wallet until both parties confirm the transaction is complete.

Payment Gateway Integration: You’ll need to integrate payment gateways for fiat transactions (e.g., bank transfers, PayPal).

Dispute Resolution System: Provide a system where users can report issues, and a support team or automated process can resolve disputes.

Reputation System: Implement a feedback system where users can rate each other based on their transaction experience.

4. Security Measures

Security is critical when building any crypto exchange. Some essential security features include:

End-to-End Encryption: Ensure all user data and transactions are encrypted to protect sensitive information.

Cold Storage for Funds: Store the majority of the platform's cryptocurrency holdings in cold wallets to protect them from hacking attempts.

Anti-Fraud Measures: Implement mechanisms to detect fraudulent activity, such as IP tracking, behavior analysis, and AI-powered fraud detection.

Regulatory Compliance: Ensure your platform complies with global regulatory requirements like KYC and AML (Anti-Money Laundering) protocols.

5. Testing and Launch

After developing the platform, it’s essential to test it thoroughly. Perform both manual and automated testing to ensure all features are functioning properly, the platform is secure, and there are no vulnerabilities. This includes:

Unit testing

Load testing

Penetration testing

User acceptance testing (UAT)

Once testing is complete, you can launch the platform.

How Much Does It Cost to Develop a P2P Crypto Exchange?

The cost of developing a P2P crypto exchange depends on several factors, including the complexity of the platform, the technology stack, and the development team you hire. Here’s a general cost breakdown:

1. Development Team Cost

You can either hire an in-house development team or outsource the project to a blockchain development company. Here’s an estimated cost for each:

In-house Team: Hiring in-house developers can be more expensive, with costs ranging from $50,000 to $150,000+ per developer annually, depending on location.

Outsourcing: Outsourcing to a specialized blockchain development company can be more cost-effective, with prices ranging from $30,000 to $100,000 for a full-fledged P2P exchange platform, depending on the complexity and features.

2. Platform Design and UI/UX

The design of the platform is crucial for user experience and security. Professional UI/UX design can cost anywhere from $5,000 to $20,000 depending on the design complexity and features.

3. Blockchain Integration

Integrating blockchain networks (like Bitcoin, Ethereum, Binance Smart Chain, etc.) can be costly, with development costs ranging from $10,000 to $30,000 or more, depending on the blockchain chosen and the integration complexity.

4. Security and Compliance

Security is a critical component for a P2P exchange. Security audits, KYC/AML implementation, and regulatory compliance measures can add $10,000 to $50,000 to the total development cost.

5. Maintenance and Updates

Post-launch maintenance and updates (bug fixes, feature enhancements, etc.) typically cost about 15-20% of the initial development cost annually.

Total Estimated Cost

Basic Platform: $30,000 to $50,000

Advanced Platform: $70,000 to $150,000+

Conclusion

Developing a P2P crypto exchange requires careful planning, secure development, and a focus on providing a seamless user experience. The cost of developing a P2P exchange varies depending on factors like platform complexity, team, and security measures, but on average, it can range from $30,000 to $150,000+.

If you're looking to launch your own P2P crypto exchange, it's essential to partner with a reliable blockchain development company to ensure the project’s success and long-term sustainability. By focusing on security, user experience, and regulatory compliance, you can create a platform that meets the growing demand for decentralized crypto trading.

Feel free to adjust or expand on specific details to better suit your target audience!

[quickpay1]

Best Payment Gateway – Quick Pay

In the fast-paced digital age of today, online payments have become an essential aspect of conducting business. You could be an entrepreneur, a small business proprietor, or running a large corporation; selecting the best payment gateway is necessary to give your customers a seamless, secure, and hassle-free payment experience. That's where Quick Pay comes in—ultimately the best payment gateway solution for streamlining online transactions and giving businesses a trustworthy, hassle-free platform.

What is Quick Pay?

Quick Pay is a modern and trustworthy best payment gateway that allows companies to accept payments from clients around the world. Whether you have an online store, subscription-based business, or sell services online, Quick Pay provides a straightforward and safe means of accepting payments. Its powerful infrastructure and adjustable features make it the best fit for businesses of all shapes and sizes.

Quick Pay is specifically made to enable a wide range of transactions such as credit and debit card transactions, bank transfers, UPI, digital wallets, and many more. Quick Pay, with its rapid processing of transactions and easy-to-use interface, has become one of the top best payment gateways in the present times.

Key Features of Quick Pay

1. Security You Can Trust

One of the most important elements of any internet payment system is security. Quick Pay is serious about security and uses industry-standard encryption to secure customer data. It is PCI DSS (Payment Card Industry Data Security Standard) compliant, indicating that it follows the highest security standards for the protection of cardholder information.

Quick Pay employs SSL encryption to protect all transactions, ensuring your customers' sensitive payment data is safe from fraudsters. It also incorporates two-factor authentication (2FA) and sophisticated fraud detection tools, adding a level of protection to minimize unauthorized transactions. You can be certain that each transaction is secure when you have Quick Pay as your best payment gateway.

2. Seamless Integration

Quick Pay's seamless integration process enables companies to link their online platforms effortlessly, be it an e-commerce site, mobile application, or online reservation platform. With powerful APIs and plugins, integrating Quick Pay into your system is quick and easy.

3. Global Payment Acceptance

For companies interested in going international, Quick Pay has a total solution for taking payment from foreign customers. It's multi-currency enabled, and businesses can sell to customers all over the globe and process payment in the local currency preferred by their customers.

This worldwide coverage positions Quick Pay as a great option for companies that are involved in a global market. You can receive payments from consumers located in other nations, opening your company to more customers, and minimize the trouble of having to deal with several different payment processors. As a world solution, Quick Pay is genuinely the best payment gateway to use for international transactions.

4. Immediate Payment Processing

Quick Pay is built for velocity. Whatever you're charging for a product, service, or subscription, Quick Pay facilitates fast and effective payments. Its real-time payment processing means that businesses get paid in an instant, enabling faster order fulfillment and improved customer experience.

The rapid payment processing also assists in minimizing cart abandonment rates, as the customers will readily complete a transaction when they're assured that it would be processed rapidly and not delayed. Quick Pay facilitates companies to reap the benefits of the finest payment gateway for efficient and rapid payment processing.

5. Customizable Payment Solutions

Each business is different, and Quick Pay knows that one size won't fit all. Whether you require recurring billing for subscriptions, single payments for product sales, or payment solutions specific to your business model, Quick Pay provides a flexible solution.

With adjustable features, companies can tailor payment pages and processes to suit their individual requirements. Quick Pay has both fixed and dynamic pricing support, allowing companies to provide customized pricing plans based on customer preferences or market dynamics. In terms of flexibility, Quick Pay is indeed the most suitable payment gateway for your business requirements.

6. Comprehensive Analytics and Reporting

With Quick Pay, you have access to a rich suite of reporting and analytics tools that give you worthwhile insights into your payment transactions. The dashboard presents you with an uncluttered picture of your transaction history, sales volume, refund history, and much more, helping you keep the financial performance of your business easily in check.

These analytics platforms also assist companies in recognizing trends, tracking customer actions, and handling cash flow in an effective manner, all within a single integrated platform. Your company will always have the information it requires to remain at the top of the game through Quick Pay's reporting and analytics features, which makes it the optimal payment gateway for financial management and business expansion.

7. 24/7 Customer Support

A payment gateway should always offer prompt and reliable customer support, and Quick Pay excels in this area. The platform offers 24/7 customer support via multiple channels, including phone, email, and live chat, ensuring that businesses and customers can resolve any payment-related issues quickly and efficiently. This round-the-clock support ensures that you never have to worry about payment disruptions, giving you peace of mind while running your business. As the best payment gateway, Quick Pay is always available to assist you and your customers.

8. Mobile-Friendly Payment Gateway

With mobile commerce on the rise, a mobile-optimized payment gateway is a must. Quick Pay's mobile-responsive interface makes it possible for customers to make payments effortlessly from any device, be it their desktop, tablet, or smartphone.

The responsive design makes the payment process smooth and easy, irrespective of the device used, which is very important in delivering a great user experience. As a top payment gateway, Quick Pay makes sure that your customers enjoy the best payment experience on any device.

Why Use Quick Pay?

1. Reliability and Uptime

Quick Pay’s robust infrastructure ensures that your business can process payments round the clock, with minimal downtime. The platform guarantees high uptime, which is crucial for businesses that rely on consistent payment processing. When it comes to reliability, Quick Pay is undoubtedly the best payment gateway to keep your business running smoothly.

2. Affordable Pricing Plans

Quick Pay provides affordable and transparent price plans, optimized to suit companies of all sizes. There are no hidden costs, and you pay only for what you utilize, giving you the best returns on your investment. Whether a small business startup or a big enterprise, Quick Pay has pricing plans that can fit your needs, making it an affordable top payment gateway for every business.

3. Customer Trust

With thousands of companies already using Quick Pay for their payment processing requirements, it has established itself as a company that is dependable, secure, and efficient. Quick Pay is used by companies in all sectors, ranging from e-commerce and retail to hospitality and services. This trust is what makes Quick Pay the most suitable payment gateway for your business.

Conclusion

In the current digital economy, an enterprise needs to have a fast, reliable, and secure payment gateway in order to prosper online. Quick Pay is one of the most prominent payment gateways that provides an easy, secure, and convenient platform for making online payments.

With its seamless integration, rapid transaction processing, international presence, and best-in-class security, Quick Pay is the perfect solution for companies looking for a powerful and easy-to-use payment gateway. Whether you're operating a small business or a large corporation, Quick Pay gives you the tools and assistance you require to thrive in the fast-paced arena of online payments.

To learn more and sign up for Quick Pay today, go to Quick Pay.

[blogsajs2024]

Get Chatbot service for business with APIWAA

In today’s fast-paced digital world, businesses are constantly looking for innovative ways to connect with their customers more effectively and efficiently. One of the most powerful tools available to achieve this is the APIWAA. By integrating APIWAA into your business operations, you can enhance communication, improve customer service, and drive engagement to new heights.

What is APIWAA?

APIWAA is a powerful communication tool that allows businesses to integrate WhatsApp messaging into their existing systems and workflows. Unlike the standard WhatsApp Business app, the API is designed for medium to large businesses, offering scalability and a range of advanced features that streamline customer interactions. It provides a programmable interface that enables businesses to send and receive messages, automate responses, and manage communication at scale.

1.Enhanced Customer Communication: With APIWAA, businesses can offer real-time customer support and engagement. The ability to send instant replies to customer queries, provide order updates, and share promotional content ensures a smooth and efficient communication process. This level of responsiveness helps build trust and loyalty among customers.

2.Automation and scalability: The APIWAA allows for the automation of routine tasks, such as sending appointment reminders, order confirmations, and personalized messages based on customer interactions. This not only saves time but also ensures consistent and accurate communication. The API’s scalability means it can handle a large volume of messages simultaneously, making it ideal for businesses of all sizes.

3.Rich Media support: Unlike traditional SMS, APIWAA supports rich media messages, including images, videos, documents, and interactive buttons. This capability allows businesses to create engaging and visually appealing messages that can capture the attention of their audience more effectively.

4.Secure and Reliable: Security is a top priority for APIWAA. The platform uses end-to-end encryption to protect messages and data, ensuring that customer information remains private and secure. This level of security helps businesses comply with data protection regulations and provides peace of mind to both the business and its customers.

Use Cases: Customer Support: Provide instant responses to customer inquiries, resolve issues quickly, and offer support 24/7.

Marketing Campaigns: Send targeted promotions, offers, and updates directly to customers’ WhatsApp accounts, ensuring high open and engagement rates.

Order Notifications: Keep customers informed with real-time updates on order status, shipping details, and delivery confirmations.

Appointment Reminders: Automate appointment reminders to reduce no-shows and improve customer experience.

Conclusion: The APIWAA is a game-changer for businesses looking to enhance their communication strategy. By integrating this powerful tool, businesses can improve customer engagement, streamline operations, and ultimately drive growth. Whether you’re a small startup or a large enterprise, the APIWAA offers the flexibility and functionality needed to stay ahead in today’s competitive market. Embrace the future of communication with APIWAA and unlock your business’s full potential.

[xgi-wave]

DeepSeek complete explained: Everything you need to know 2025

DeepSeek, a Chinese AI firm, is shaking up the industry with its low-cost, open-source large language models, posing a serious challenge to U.S. tech giants.

Breaking the AI Norms

For years, the belief was that developing powerful large language models required massive funding and cutting-edge technology. That’s why the U.S. government pledged to back the $500 billion Stargate Project, announced by President Donald Trump.

But DeepSeek has flipped that idea on its head. On January 20, 2025, the Chinese AI firm stunned the world by releasing its R1 large language model (LLM) at a fraction of the cost of its competitors. What made it even more disruptive? DeepSeek offered its R1 models under an open-source license, making them freely available to the public.

Within days, DeepSeek’s AI assistant—an easy-to-use chatbot app powered by R1—shot to the top of Apple’s App Store, surpassing OpenAI’s ChatGPT in downloads. The ripple effect was immediate: On January 27, 2025, stock markets took a hit as investors started doubting the long-term dominance of U.S.-based AI companies. Tech giants like Nvidia, Microsoft, Meta, Oracle, and Broadcom saw their stock values plummet as the world took notice of DeepSeek’s rapid rise.

What is DeepSeek?

DeepSeek is an AI research company based in Hangzhou, China. It was founded in May 2023 by Liang Wenfeng, a graduate of Zhejiang University and co-founder of High-Flyer, a quantitative hedge fund that owns DeepSeek. While the company’s funding and valuation remain undisclosed, its impact on the AI landscape is undeniable.

DeepSeek is committed to developing open-source LLMs. Its first model debuted in November 2023, but it wasn’t until January 2025—with the release of the groundbreaking R1 reasoning model—that the company gained worldwide recognition.

The company offers multiple access points for its AI models, including a web platform, a mobile app, and an API for developers.

Read full details

[sibyl-of-space]

The San Francisco tech scene is completely beyond satire. I'm in a discord server for game developers based in SF because even though I don't live in the bay area anymore it's still the closest hub for indie developers near me. I went to one of their meetups once, the talk itself was completely useless and I left about 30 mins in, but I did get two people to playtest my demo beforehand so it was still worthwhile. One of those things where you're in a sea of 50 people who annoy you and are able to find maybe one or two people who are cool to talk to.

Anyway, I just received a ping about their next meetup, which is-- I literally could not make up something more on the nose than this if I tried--

brought to you

by

✨ J.P. Morgan ✨

.

Actual quote from the event page:

Are you a developer looking to accept payments and monetize your users effectively? We are excited to announce this unique opportunity to get in on the ground floor and learn about how to monetize your payment flow for your gaming applications at scale. As you may be aware, the Apple App Store and other stores are now allowing outside payment methods within iPhone apps due to "anti-competitive" laws in the EU. As a result, if you are part of Apples small business program, you may be eligible for a discounted percentage fee on IAP instead of the normal 30% fee. We hope you can attend to explore these concepts and learn how you can save money on payment processing fees with J.P. Morgan Payments.

Food is sponsored by J.P. Morgan and drinks are available for purchase at the DNA Lounge bar. All proceeds from drink sales go directly to the venue which helps them keep the lights on, and also helps us continue to host events in their space. DNA Lounge is over 3,000 sqft and is the largest venue we've ever hosted our events at. Speakers will go on stage at 7:00pm. This is an all ages event, is open to the public and is a professional networking event for game developers, artists, students, indies, or really anyone interested in game development. ASL Interpretation services available upon request via email.

Speaker Lineup:

Alan Lee | Developer Relations at J.P. Morgan Payments

Enhance your Payment Experience with J.P Morgan’s Payment Developer Platform

In this session, The J.P Morgan Payments developer relations team will showcase how the Online Payments API allows you to seamlessly accept, process and settle payments from the large suite of supported payment methods. We’ll explore the extended capabilities like tools for fraud prevention, recurring payments and demonstrate how these features can help you improve authorization rates, secure transactions, and gain valuable insights into your payment flow.

so anyway if anybody needs me I will be basically anywhere except at this particular event

[digicode1]

Cloud Agnostic: Achieving Flexibility and Independence in Cloud Management

As businesses increasingly migrate to the cloud, they face a critical decision: which cloud provider to choose? While AWS, Microsoft Azure, and Google Cloud offer powerful platforms, the concept of "cloud agnostic" is gaining traction. Cloud agnosticism refers to a strategy where businesses avoid vendor lock-in by designing applications and infrastructure that work across multiple cloud providers. This approach provides flexibility, independence, and resilience, allowing organizations to adapt to changing needs and avoid reliance on a single provider.

What Does It Mean to Be Cloud Agnostic?

Being cloud agnostic means creating and managing systems, applications, and services that can run on any cloud platform. Instead of committing to a single cloud provider, businesses design their architecture to function seamlessly across multiple platforms. This flexibility is achieved by using open standards, containerization technologies like Docker, and orchestration tools such as Kubernetes.

Key features of a cloud agnostic approach include:

Interoperability: Applications must be able to operate across different cloud environments.

Portability: The ability to migrate workloads between different providers without significant reconfiguration.

Standardization: Using common frameworks, APIs, and languages that work universally across platforms.

Benefits of Cloud Agnostic Strategies

Avoiding Vendor Lock-InThe primary benefit of being cloud agnostic is avoiding vendor lock-in. Once a business builds its entire infrastructure around a single cloud provider, it can be challenging to switch or expand to other platforms. This could lead to increased costs and limited innovation. With a cloud agnostic strategy, businesses can choose the best services from multiple providers, optimizing both performance and costs.

Cost OptimizationCloud agnosticism allows companies to choose the most cost-effective solutions across providers. As cloud pricing models are complex and vary by region and usage, a cloud agnostic system enables businesses to leverage competitive pricing and minimize expenses by shifting workloads to different providers when necessary.

Greater Resilience and UptimeBy operating across multiple cloud platforms, organizations reduce the risk of downtime. If one provider experiences an outage, the business can shift workloads to another platform, ensuring continuous service availability. This redundancy builds resilience, ensuring high availability in critical systems.

Flexibility and ScalabilityA cloud agnostic approach gives companies the freedom to adjust resources based on current business needs. This means scaling applications horizontally or vertically across different providers without being restricted by the limits or offerings of a single cloud vendor.

Global ReachDifferent cloud providers have varying levels of presence across geographic regions. With a cloud agnostic approach, businesses can leverage the strengths of various providers in different areas, ensuring better latency, performance, and compliance with local regulations.

Challenges of Cloud Agnosticism

Despite the advantages, adopting a cloud agnostic approach comes with its own set of challenges:

Increased ComplexityManaging and orchestrating services across multiple cloud providers is more complex than relying on a single vendor. Businesses need robust management tools, monitoring systems, and teams with expertise in multiple cloud environments to ensure smooth operations.

Higher Initial CostsThe upfront costs of designing a cloud agnostic architecture can be higher than those of a single-provider system. Developing portable applications and investing in technologies like Kubernetes or Terraform requires significant time and resources.

Limited Use of Provider-Specific ServicesCloud providers often offer unique, advanced services—such as machine learning tools, proprietary databases, and analytics platforms—that may not be easily portable to other clouds. Being cloud agnostic could mean missing out on some of these specialized services, which may limit innovation in certain areas.

Tools and Technologies for Cloud Agnostic Strategies

Several tools and technologies make cloud agnosticism more accessible for businesses:

Containerization: Docker and similar containerization tools allow businesses to encapsulate applications in lightweight, portable containers that run consistently across various environments.

Orchestration: Kubernetes is a leading tool for orchestrating containers across multiple cloud platforms. It ensures scalability, load balancing, and failover capabilities, regardless of the underlying cloud infrastructure.

Infrastructure as Code (IaC): Tools like Terraform and Ansible enable businesses to define cloud infrastructure using code. This makes it easier to manage, replicate, and migrate infrastructure across different providers.

APIs and Abstraction Layers: Using APIs and abstraction layers helps standardize interactions between applications and different cloud platforms, enabling smooth interoperability.

When Should You Consider a Cloud Agnostic Approach?

A cloud agnostic approach is not always necessary for every business. Here are a few scenarios where adopting cloud agnosticism makes sense:

Businesses operating in regulated industries that need to maintain compliance across multiple regions.

Companies require high availability and fault tolerance across different cloud platforms for mission-critical applications.

Organizations with global operations that need to optimize performance and cost across multiple cloud regions.

Businesses aim to avoid long-term vendor lock-in and maintain flexibility for future growth and scaling needs.

Conclusion

Adopting a cloud agnostic strategy offers businesses unparalleled flexibility, independence, and resilience in cloud management. While the approach comes with challenges such as increased complexity and higher upfront costs, the long-term benefits of avoiding vendor lock-in, optimizing costs, and enhancing scalability are significant. By leveraging the right tools and technologies, businesses can achieve a truly cloud-agnostic architecture that supports innovation and growth in a competitive landscape.

Embrace the cloud agnostic approach to future-proof your business operations and stay ahead in the ever-evolving digital world.

[mariacallous]

X has banned the account of a prominent critic after he published data that he claims exposed the site’s embrace of the far-right after Elon Musk’s takeover last year.

Travis Brown, a software developer based in Berlin, alleges his account was first suspended on July 1 this year, several months after his data formed the basis of New York Times and CNN reports claiming that far-right influencers featured prominently among Twitter Blue subscribers, and how thousands of previously banned X accounts, including members of the far-right, were being reinstated on the site.

On Tuesday, Brown announced his decision to challenge his account’s suspension in court in Berlin. “This is a matter of principle,” he says. “I think it is important that platforms like Twitter are not allowed to shut down criticism arbitrarily.” X did not reply to repeated requests for comment.

X has been accused of attempting to silence its critics several times since Elon Musk acquired the platform in October 2022. In July, X sued the Center for Countering Digital Hate (CCDH) after the nonprofit published research suggesting that problematic content on the platform, such as hate and disinformation, was becoming more widespread. In December 2022, X suspended the account ElonJet, which tracked the movement of Musk’s private jet.

“Elon Musk likes to pretend he cares about free speech, but this case exposes that commitment as little more than window dressing,” claims Tiemo Wölken, a German politician who represents the Socialists and Democrats group in the European Parliament. “Someone who silences critics and researchers by kicking them off their platform isn’t a free speech advocate.”

Brown says he worked for X for one year, leaving in 2015 when his team was shut down. In 2022, he received a grant from the Open Knowledge Foundation, a nonprofit, to build software that would enable him to trace the history of accounts engaging in disinformation and hate speech. That tool, which focused on the company then known as Twitter, enabled him to identify which social media accounts posting about Russia’s invasion of Ukraine had a history of posting spam. But it also meant he could identify, almost in real time, which previously banned accounts were being reinstated on X, he says.

“After Musk took over, you did see a very strong turn toward the far right, in terms of which accounts were being amplified, which accounts were building followings more quickly,” he claims.

Brown received no warning before his account was initially banned in July, the developer says. He says his account was restored in September, after a court order. But later that same month, Twitter informed Brown that his account would be banned again, with X justifying its decision to the court in a 36-page letter. X argued that Brown was using the platform’s data in a way that violated its terms of service. A similar argument was used in the case against the CCDH. X’s terms of service were updated in September 2023 to prohibit crawling or scraping in any form.

According to Brown, he has developed many small applications that draw on different data sources and are used by different researchers. But the tool he used to trace the history of X accounts relied on data from the Internet Archive, as well as data gathered from X’s API, he says, adding that this was done in a way he believed to be in compliance with the developer agreement at the time.

“What is at stake here is the freedom of researchers on social media platforms,” says Josephine Ballon, spokesperson for HateAid, a German nonprofit that campaigns against online hate speech and is helping Brown with his case. “Travis did not even publish this information on his own. He only contributed to press publications.”

The legal proceedings in Germany are ongoing. For Ballon, the best case scenario would be if the court reinstates Brown’s account again or rules the block to be unlawful. The worst outcome would be if the court declines to rule on the case because X’s European Union headquarters are based in Ireland. HateAid is asking the European Commission to intervene using the Digital Services Act, a new rulebook that went into effect in August and is designed to protect freedom of expression online.

“Even if we lose it, I think this case really shows how a huge social media company is going after a single person with really expensive lawyers and hundreds of pages of written documents,” says Ballon. “That really shows how aggressively they are behaving toward their critics.”

[java-full-stack-izeon]

java full stack

A Java Full Stack Developer is proficient in both front-end and back-end development, using Java for server-side (backend) programming. Here's a comprehensive guide to becoming a Java Full Stack Developer:

1. Core Java

Fundamentals: Object-Oriented Programming, Data Types, Variables, Arrays, Operators, Control Statements.

Advanced Topics: Exception Handling, Collections Framework, Streams, Lambda Expressions, Multithreading.

2. Front-End Development

HTML: Structure of web pages, Semantic HTML.

CSS: Styling, Flexbox, Grid, Responsive Design.

JavaScript: ES6+, DOM Manipulation, Fetch API, Event Handling.

Frameworks/Libraries:

React: Components, State, Props, Hooks, Context API, Router.

Angular: Modules, Components, Services, Directives, Dependency Injection.

Vue.js: Directives, Components, Vue Router, Vuex for state management.

3. Back-End Development

Java Frameworks:

Spring: Core, Boot, MVC, Data JPA, Security, Rest.

Hibernate: ORM (Object-Relational Mapping) framework.

Building REST APIs: Using Spring Boot to build scalable and maintainable REST APIs.

4. Database Management

SQL Databases: MySQL, PostgreSQL (CRUD operations, Joins, Indexing).

NoSQL Databases: MongoDB (CRUD operations, Aggregation).

5. Version Control/Git

Basic Git commands: clone, pull, push, commit, branch, merge.

Platforms: GitHub, GitLab, Bitbucket.

6. Build Tools

Maven: Dependency management, Project building.

Gradle: Advanced build tool with Groovy-based DSL.

7. Testing

Unit Testing: JUnit, Mockito.

Integration Testing: Using Spring Test.

8. DevOps (Optional but beneficial)

Containerization: Docker (Creating, managing containers).

CI/CD: Jenkins, GitHub Actions.

Cloud Services: AWS, Azure (Basics of deployment).

9. Soft Skills

Problem-Solving: Algorithms and Data Structures.

Communication: Working in teams, Agile/Scrum methodologies.

Project Management: Basic understanding of managing projects and tasks.

Learning Path

Start with Core Java: Master the basics before moving to advanced concepts.

Learn Front-End Basics: HTML, CSS, JavaScript.

Move to Frameworks: Choose one front-end framework (React/Angular/Vue.js).

Back-End Development: Dive into Spring and Hibernate.

Database Knowledge: Learn both SQL and NoSQL databases.

Version Control: Get comfortable with Git.

Testing and DevOps: Understand the basics of testing and deployment.

Resources

Books:

Effective Java by Joshua Bloch.

Java: The Complete Reference by Herbert Schildt.

Head First Java by Kathy Sierra & Bert Bates.

Online Courses:

Coursera, Udemy, Pluralsight (Java, Spring, React/Angular/Vue.js).

FreeCodeCamp, Codecademy (HTML, CSS, JavaScript).

Documentation:

Official documentation for Java, Spring, React, Angular, and Vue.js.

Community and Practice

GitHub: Explore open-source projects.

Stack Overflow: Participate in discussions and problem-solving.

Coding Challenges: LeetCode, HackerRank, CodeWars for practice.

By mastering these areas, you'll be well-equipped to handle the diverse responsibilities of a Java Full Stack Developer.

visit https://www.izeoninnovative.com/izeon/

[hostpyters]

Reply.io is a sales engagement platform designed to help sales teams automate and manage their outreach efforts through multiple communication channels. It aims to streamline the process of engaging with prospects and customers, thereby increasing productivity and efficiency.

Below is a detailed review of its features and functionalities:

Key Features

Multi-Channel Outreach:

Email Campaigns: Automate and personalize email sequences to reach prospects effectively.

Phone Calls: Integrates with VoIP services to facilitate direct calling from the platform, including features like call recording and logging.

Social Media: Allows outreach via LinkedIn, including automated message sequences.

SMS and WhatsApp: Supports text-based outreach through SMS and WhatsApp for more direct communication channels.

Automation and Sequencing:

Automated Workflows: Create automated workflows that sequence multiple touch points across different channels.

Conditional Logic: Use conditional steps to branch sequences based on recipient behavior, such as email opens or replies.

Task Automation: Automate repetitive tasks such as follow-ups, reminders, and updating CRM records. Personalization and AI:

Email Personalization: Use dynamic fields to personalize email content, increasing engagement rates.

AI-Powered Suggestions: AI tools provide suggestions for improving email content and outreach strategies.

Personalized Videos: Integrates with video messaging tools to include personalized video content in emails.

Integration and API:

CRM Integration: Seamlessly integrates with major CRM systems like Salesforce, HubSpot, and Pipedrive, ensuring data synchronization.

API Access: Provides API access for custom integrations and automations, allowing for greater flexibility.

Third-Party Tools: Connects with various other tools such as Zapier, Slack, and Google Apps to enhance functionality.

Analytics and Reporting:

Campaign Analytics: Detailed analytics on email open rates, reply rates, click-through rates, and more.

A/B Testing: Test different versions of emails to determine which performs better.

Team Performance: Track team performance metrics to identify areas for improvement and optimize outreach efforts.

Contact Management:

Lead Management: Centralized database for managing contacts and leads, with segmentation and filtering options.

Enrichment: Automatic data enrichment to enhance lead profiles with relevant information.

Prospect Importing: Easily import contacts from CSV files or directly from integrated CRM systems.

Pros Comprehensive Multi-Channel Outreach: Supports a variety of communication channels, providing a holistic approach to sales engagement.

Advanced Automation and Sequencing: Powerful automation features help streamline workflows and increase efficiency.

Deep Personalization: Tools for email and video personalization improve engagement and response rates.

Robust Integration Capabilities: Seamless integration with CRM systems and other third-party tools enhances data synchronization and workflow automation.

Detailed Analytics: Comprehensive reporting and analytics provide insights into campaign performance and team productivity.

Cons Complexity: The extensive features and customization options can be overwhelming for new users, requiring a learning curve to fully utilize the platform.

Cost: Pricing can be relatively high, especially for smaller businesses or startups with limited budgets.

Limited Free Tier: The free tier offers limited functionality, which may not be sufficient for more extensive outreach needs.

Reply.io is a powerful and versatile sales engagement platform that offers a comprehensive suite of tools for multi-channel outreach, automation, and personalization. Its robust integration capabilities and detailed analytics make it an excellent choice for sales teams looking to optimize their engagement strategies and improve productivity. However, the complexity and cost may pose challenges for smaller organizations or those new to such platforms. Overall, Reply.io provides significant value for businesses seeking to enhance their sales outreach and engagement efforts.

[lodeemmanuelpalle]

Top Mobile App Development Frameworks in 2023 - Lode Emmanuel Palle

As of my last knowledge update in September 2021, I can provide information about some of the popular mobile app development frameworks up to that point. However, please note that the landscape of technology can change rapidly, and new frameworks may have emerged or gained popularity since then. Here are some of the well-known mobile app development frameworks mentioned by Lode Emmanuel Palle that were popular up to 2021:

React Native: Developed by Facebook, React Native is a widely used open-source framework for building cross-platform mobile apps. It allows developers to use JavaScript to create native-like user interfaces for both iOS and Android.

Flutter: Created by Google, Flutter is another popular open-source framework for building cross-platform apps. It uses the Dart programming language and provides a rich set of customizable widgets, enabling high-quality and performant user interfaces.

Xamarin: Owned by Microsoft, Xamarin allows developers to build native apps for iOS, Android, and Windows using a single codebase in C#. It provides a way to share a significant portion of code across platforms while still delivering native user experiences.

Ionic: Built on top of Angular and using web technologies like HTML, CSS, and JavaScript/TypeScript, Ionic is a framework for building cross-platform mobile apps with a native-like feel. It also provides a suite of UI components.

Vue Native: Based on Vue.js, Vue Native lets developers build mobile apps using Vue's declarative syntax. It's designed to be similar to React Native, making it easy for developers familiar with Vue.js to transition to mobile development.

PhoneGap / Apache Cordova: PhoneGap is an open-source framework that uses web technologies to build mobile apps that can run on various platforms. It leverages Apache Cordova to access native device features.

SwiftUI (for iOS): Introduced by Apple, SwiftUI is a framework for building user interfaces across all Apple platforms using Swift programming language. It's mainly focused on iOS, macOS, watchOS, and tvOS app development.

Kotlin Multiplatform Mobile (KMM): Developed by JetBrains, KMM is a relatively new framework that aims to allow developers to share code between Android and iOS apps using Kotlin. It's designed for more seamless cross-platform development.

NativeScript: NativeScript enables building native apps using JavaScript, TypeScript, or Angular. It provides access to native APIs and components, offering a truly native experience.

According to Lode Emmanuel Palle. the choice of a mobile app development framework depends on various factors including your familiarity with the programming language, the complexity of the app, the desired platform(s), and the specific features you need. It's always a good idea to research and stay updated on the latest developments in the field to make informed decisions.

[mindyourtopics44]

25 Python Projects to Supercharge Your Job Search in 2024

Introduction: In the competitive world of technology, a strong portfolio of practical projects can make all the difference in landing your dream job. As a Python enthusiast, building a diverse range of projects not only showcases your skills but also demonstrates your ability to tackle real-world challenges. In this blog post, we'll explore 25 Python projects that can help you stand out and secure that coveted position in 2024.

1. Personal Portfolio Website

Create a dynamic portfolio website that highlights your skills, projects, and resume. Showcase your creativity and design skills to make a lasting impression.

2. Blog with User Authentication

Build a fully functional blog with features like user authentication and comments. This project demonstrates your understanding of web development and security.

3. E-Commerce Site

Develop a simple online store with product listings, shopping cart functionality, and a secure checkout process. Showcase your skills in building robust web applications.

4. Predictive Modeling

Create a predictive model for a relevant field, such as stock prices, weather forecasts, or sales predictions. Showcase your data science and machine learning prowess.

5. Natural Language Processing (NLP)

Build a sentiment analysis tool or a text summarizer using NLP techniques. Highlight your skills in processing and understanding human language.

6. Image Recognition

Develop an image recognition system capable of classifying objects. Demonstrate your proficiency in computer vision and deep learning.

7. Automation Scripts

Write scripts to automate repetitive tasks, such as file organization, data cleaning, or downloading files from the internet. Showcase your ability to improve efficiency through automation.

8. Web Scraping

Create a web scraper to extract data from websites. This project highlights your skills in data extraction and manipulation.

9. Pygame-based Game

Develop a simple game using Pygame or any other Python game library. Showcase your creativity and game development skills.

10. Text-based Adventure Game

Build a text-based adventure game or a quiz application. This project demonstrates your ability to create engaging user experiences.

11. RESTful API

Create a RESTful API for a service or application using Flask or Django. Highlight your skills in API development and integration.

12. Integration with External APIs

Develop a project that interacts with external APIs, such as social media platforms or weather services. Showcase your ability to integrate diverse systems.

13. Home Automation System

Build a home automation system using IoT concepts. Demonstrate your understanding of connecting devices and creating smart environments.

14. Weather Station

Create a weather station that collects and displays data from various sensors. Showcase your skills in data acquisition and analysis.

15. Distributed Chat Application

Build a distributed chat application using a messaging protocol like MQTT. Highlight your skills in distributed systems.

16. Blockchain or Cryptocurrency Tracker

Develop a simple blockchain or a cryptocurrency tracker. Showcase your understanding of blockchain technology.

17. Open Source Contributions

Contribute to open source projects on platforms like GitHub. Demonstrate your collaboration and teamwork skills.

18. Network or Vulnerability Scanner

Build a network or vulnerability scanner to showcase your skills in cybersecurity.

19. Decentralized Application (DApp)

Create a decentralized application using a blockchain platform like Ethereum. Showcase your skills in developing applications on decentralized networks.

20. Machine Learning Model Deployment

Deploy a machine learning model as a web service using frameworks like Flask or FastAPI. Demonstrate your skills in model deployment and integration.

21. Financial Calculator

Build a financial calculator that incorporates relevant mathematical and financial concepts. Showcase your ability to create practical tools.

22. Command-Line Tools

Develop command-line tools for tasks like file manipulation, data processing, or system monitoring. Highlight your skills in creating efficient and user-friendly command-line applications.

23. IoT-Based Health Monitoring System

Create an IoT-based health monitoring system that collects and analyzes health-related data. Showcase your ability to work on projects with social impact.

24. Facial Recognition System

Build a facial recognition system using Python and computer vision libraries. Showcase your skills in biometric technology.

25. Social Media Dashboard

Develop a social media dashboard that aggregates and displays data from various platforms. Highlight your skills in data visualization and integration.

Conclusion: As you embark on your job search in 2024, remember that a well-rounded portfolio is key to showcasing your skills and standing out from the crowd. These 25 Python projects cover a diverse range of domains, allowing you to tailor your portfolio to match your interests and the specific requirements of your dream job.

If you want to know more, Click here:https://analyticsjobs.in/question/what-are-the-best-python-projects-to-land-a-great-job-in-2024/