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Dev
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Social Network Analysis Programming
- Social Network Analysis (SNA) is a powerful technique to analyze relationships between individuals, groups, or entities.
- Key concepts in SNA include nodes, edges, degree centrality, betweenness centrality, and clustering.
- Python with libraries like NetworkX and Pandas is commonly used for SNA programming.
- SNA has applications in marketing, security, epidemiology, sociology, and recommendation systems.
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Medium
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419
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Integrating Superbase, Windsurf and the MCP Protocol
- Integrating Superbase, Windsurf, and the MCP Protocol allows for quick development of personalized applications
- MCP, the Model Context Protocol, standardizes integration of external data sources and services in AI development
- Developers can connect their applications to various data sources and tools without extensive custom integrations
- Security and data privacy considerations are important when exposing the inner workings of databases to agentic systems
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Javarevisited
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How to close telnet terminal in Linux and Windows (quit, exit not working)? Example
- The telnet command is useful for checking if a server is running on a specific port.
- Closing the telnet terminal and exiting can be tricky if not familiar with the command.
- Common Linux commands like quit, exit, and Ctrl + C may not work.
- This tutorial helps understand how to close a telnet terminal in Linux and Windows.
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Dev
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289
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Digital Marketing Application Programming
- Digital Marketing Application Programming refers to the development of tools, systems, and scripts that automate, optimize, and analyze digital marketing efforts.
- Key areas of digital marketing applications include email marketing automation, SEO tools, social media automation, analytics and reporting, and ad campaign management.
- Popular technologies and APIs used in digital marketing application programming include Python, JavaScript/Node.js, Google APIs, Facebook Graph API, and Zapier/IFTTT Integration.
- Real-world use cases of digital marketing application programming include marketing dashboards, lead segmentation, chatbots, email drip campaigns, and dynamic landing pages.
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Dev
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Building Smart Recommendation Systems
- Recommendation systems are crucial in modern applications, enhancing user experience and engagement.
- Types of recommendation systems include content-based filtering, collaborative filtering, hybrid systems, and knowledge-based systems.
- Popular recommendation algorithms include user-based collaborative filtering, item-based collaborative filtering, matrix factorization, and deep learning models.
- Building recommendation systems involve using tools and frameworks such as Surprise, LightFM, TensorFlow Recommenders, and Apache Mahout.
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Medium
2w
8
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Omniston Launches to Supercharge TON DeFi Liquidity
- Omniston has launched to enhance liquidity in TON DeFi.
- Omniston functions as a resolver-based aggregator connecting TON DeFi platforms.
- The protocol aims to improve efficiency and pricing by integrating more liquidity sources.
- Omniston has introduced a $1000 transaction cap during the beta phase.
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Javarevisited
2w
346
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How to encode decode String in Java base64 Encoding? Example Tutorial
- The Apache commons code open-source library provides convenient static utility methods to encode and decode strings in Java using base64.
- Base64 encoding is useful for transferring or storing sensitive data in XML files or binary string format over a socket.
- The Apache commons-codec package is easy to use, with a clean API and without adding unnecessary extra features.
- This tutorial explains the process of encoding and decoding strings into base64 using Java and the Apache commons-codec library.
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Medium
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82
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Ng-News 25/14: Selectorless PR
- Standalone components were introduced in Angular 14, eliminating the need for NgModules.
- There are plans to remove the use of selectors in component templates, leading to better performance.
- Zoneless is leaving its experimental status and may become a part of Angular 20.
- The German Angular conference, ng-de, will take place from November 5th to 7th.
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Johndcook
2w
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Lots of flat sides
- Today's exponential sum of the day page has an unusual number of lines that are parallel to the horizontal and vertical axes.
- Typically, the images on the page are more complex, except around the first of the month.
- Horizontal lines occur when consecutive partial sums differ by a real number.
- Vertical lines occur when the latest term in the sum is purely imaginary.
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Medium
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324
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Build Language-Agnostic Plugins and Extensions Effortlessly with Javonet
- Javonet enables a language-agnostic plugin architecture, allowing plugins in Python, Ruby, and .NET to be loaded by a Node.js application effortlessly.
- By using Javonet, developers can write plugins in their preferred language, enhancing flexibility and ease of use for end-users.
- Javonet's cross-language interoperability simplifies invoking plugins at runtime without the need for separate processes or serialization concerns.
- The integration of various languages is handled within the same process by Javonet, bridging the Node.js host with modules in Python, .NET, Ruby, and more.
- Developers can define a simple plugin interface for plugins to follow, enabling seamless integration with the Node.js application using Javonet.
- Javonet facilitates calling Python, .NET, and Ruby plugins from Node.js code, maintaining consistency and ease of integration across different languages.
- By leveraging Javonet's capabilities, developers can execute plugin methods directly as if they were local modules, enhancing integration and usability.
- Javonet's fluent API ensures uniformity in cross-language calls, enabling developers to interact with different runtimes seamlessly.
- Using Javonet for a multi-language plugin system provides not only convenience but also technical robustness, optimizing performance and reliability.
- Javonet streamlines the development of a flexible plugin architecture without compromising on speed or simplicity, making it a powerful tool for building extensible systems.
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Logrocket
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What is AI code generation and how does it work?
- AI code generation involves artificial intelligence writing code based on natural language prompts, such as turning English into JavaScript or Python.
- It uses large language models trained on datasets like GitHub repos and Stack Overflow to predict code output from human-readable instructions.
- AI models like GPT are trained on vast data to understand code structure and human instructions.
- Developers use AI code generation for auto-complete, code suggestions, and conversational coding assistance in IDEs.
- Top tools like GitHub Copilot, Cursor, and Codeium are popular for frontend devs, offering productivity boosts and best practices.
- Pros include productivity boosts, bug fixing aid, and accessibility for freelancers, but cons include security risks and skill decay.
- AI code generation impacts software development by changing job roles rather than replacing developers entirely.
- Coders who understand and work with AI tools are likely to thrive in the future of software development.
- AI is not poised to eliminate developer roles, but rather to redefine them in conjunction with AI capabilities.
- Adapting to AI tools and the evolution of code generation is crucial for developers in navigating the future landscape of software development.
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Medium
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358
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The AI Mirage: Why Startups Are Chasing Algorithms Instead of Building Real Value
- Startups often prioritize chasing AI hype over building a valuable core product.
- Many startups sacrifice fundamentals in an attempt to incorporate AI as a status symbol.
- The obsession with AI can lead to buggy features, privacy concerns, and technical debt.
- Instead of AI, startups should focus on delivering a valuable product and addressing user needs.
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Dev
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393
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Building a GPT-Powered Text Adventure in Python
- A student built an AI-driven text adventure game in Python.
- The game features AI-generated room descriptions and a Gothic AI-crafted ending.
- Real-time sound effects using Pygame were also implemented.
- The game serves as a way to learn AI development skills.
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Medium
2w
393
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Netflix’s Architecture for Handling Millions of Requests: In-Depth Analysis
- Netflix spearheaded the microservices strategy by dividing its application into hundreds of distinct services.
- Netflix utilizes AWS for its cloud-native platform, utilizing services such as EC2, S3, DynamoDB, Route 53, and CloudFront.
- Netflix's architecture includes a Content Delivery Network (CDN), which involves appliance strategy, ISP integration, content preloading, adaptive bitrate, and geographic distribution.
- To ensure system resilience, Netflix employs chaos engineering, automated rollbacks, fault injection testing, and controlled trials for new version rollouts.
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Medium
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229
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5 Python Concepts I Wish I Understood Before My First Project
- Virtual environments are necessary for maintaining clean Python setups and avoiding dependency hell.
- Using pip freeze to generate requirements.txt can simplify managing dependencies in the future.
- Writing functions is not just about reusability, but also about making the code logical and maintainable.
- Breaking down code early on helps readability and future understanding, especially during challenging times.
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