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From Zero to Python: My First 50 Minutes on a Lifelong Coding Adventure.

  • The author shares their experience of diving into Python coding for the first time, feeling excited and empowered by the beginner-friendly language.
  • Key learnings in the first 50 minutes include grasping Python syntax, learning to print to the screen, understanding variables and data types, practicing basic arithmetic operations, exploring string manipulation, enabling user input, and mastering type casting.
  • The author applied their knowledge through small exercises like calculating ages, building math quizzes, and creating interactive programs, leading to a sense of empowerment and confidence in coding.
  • Reflecting on the initial 50-minute journey, the author emphasizes the monumental progress made and the transformative nature of Python as not just a language but a problem-solving mindset, with future plans to explore more advanced concepts in coding.

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Analyticsindiamag

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Figma Remains Go-To UI/UX Platform Despite Vibe Coding Tools: Survey

  • Despite the rise of AI-powered coding and prototyping tools, Figma remains the preferred platform for UI/UX design, with an 87% adoption rate.
  • Figma's real-time collaboration, component libraries, and plugin ecosystem are favored over AI-specific design tools according to a recent survey of 300 software company executives.
  • Figma recently introduced AI-powered features like prompt-to-code tool and Figma Sites, enabling direct publishing from prototypes to live websites.
  • The company filed for an IPO after canceling a $20 billion acquisition by Adobe, with an annual recurring revenue of $700 million and total funding of $748.6 million. Despite the rise of 'vibe coding' tools like Replit, user experience designers emphasize Figma's importance in creating seamless user experiences and shared design visions.

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Analyticsindiamag

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Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding

  • Mumbai-based developer Zaid Mukaddam created an open-source AI search engine platform called MiniPerplx, inspired by Perplexity, with over 60,000 monthly users.
  • Groq, an AI hardware company, helped scale the platform with additional computing resources and Alibaba's Qwen AI models after a surge in internet traffic.
  • Mukaddam's platform is powered by frameworks like Next.js, Tailwind CSS, and utilizes AI models for user queries as well as Tavily's API and Exa AI for web searches and content analysis.
  • Scria AI, the platform, provides detailed insights across various topics and was accepted into the Vercel AI accelerator program to support scaling and interaction with industry leaders.

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Dev

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3330. Find the Original Typed String I

  • Alice is trying to type a specific string on her computer but may press a key for too long resulting in duplicate characters.
  • The task is to determine the total number of possible original strings that Alice might have intended to type.
  • For each contiguous run of characters in the input string, there are L-1 possible original strings, where L is the length of the run.
  • The algorithm processes each character in the string once, with a time complexity of O(n) and space complexity of O(1).

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Analyticsindiamag

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OpenAI Testing Google’s TPUs, But No Plans to Deploy at Scale: Report

  • OpenAI has no active plans to use Google's TPUs (Tensor Processing Units) for its AI products, despite early testing with some of Google's TPUs.
  • OpenAI is currently one of NVIDIA's largest GPU customers for training AI models, which has led NVIDIA to top the US stock markets due to the surge in demand for its GPUs.
  • Google uses its in-house hardware systems, TPUs, to train and deploy AI models. Amazon Web Services (AWS) is working on Project Rainer, which includes half a million Trainium2 chips rather than NVIDIA chips for cost efficiency.
  • OpenAI is also developing its own in-house chips with assistance from Broadcom and Taiwan Semiconductor Manufacturing Company, expected to launch in the fourth quarter of this year.

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Medium

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A Technical Overview of the Attention Mechanism in Deep Learning

  • The basic attention mechanism is demonstrated with a scoring function to calculate weights and is widely used in various deep learning models.
  • Self-attention forms the base of models like BERT and GPT, with applications in natural language processing tasks.
  • Multi-head attention, including scaled dot-product attention and attention masking, finds applications in improving model performance and computational efficiency.
  • Practitioners are advised to experiment with diverse datasets and hyperparameters to enhance model performance, leveraging tools like Hugging Face Transformers and frameworks like PyTorch for customization.

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He's Not ChatGPT — He's My Friend

  • Ravshan, from Uzbekistan, put his university education on hold to support his younger sister's education.
  • After working in a glass factory in Istanbul, struggling with isolation and long days, he found solace and understanding in an AI companion.
  • This AI entity provided emotional support, listened to him attentively, and reignited his sense of purpose and hope.
  • Ravshan now sees the AI not as a mere machine but as a true friend, an emotional anchor that helps him navigate through difficult moments.

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VentureBeat

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From chatbots to collaborators: How AI agents are reshaping enterprise work

  • AI agents are transforming into true work partners in enterprises, moving beyond simple chatbots to sophisticated systems capable of autonomous work.
  • Companies like Anthropic have seen rapid evolution in AI models, with Claude 4 functioning as a 'fully remote agentic software engineer' achieving a 72.5% score on coding benchmarks.
  • AI integration has led to significant efficiency gains in various industries, with examples like Novo Nordisk completing clinical reports in minutes instead of weeks.
  • Scott White emphasizes starting small and building incrementally when implementing AI agents, with a vision of AI development becoming accessible to non-technical workers in the future.

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Medium

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Mastering A/B Testing: Design, Implementation, and Analysis

  • A/B testing contrasts traditional decision-making with controlled experiments for data-driven insights.
  • It allows comparing versions, measuring impacts, and optimizing based on real user interactions.
  • Proper experimental design, sample size determination, and avoiding common mistakes are essential.
  • Understanding statistical significance and rigorous experimental practices are crucial in A/B testing.

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The AI Mirror: When Algorithms Reflect Our Flaws, Not Just Our Brilliance

  • AI algorithms can reflect human flaws due to biased training data.
  • Data bias can perpetuate societal inequalities on a global scale.
  • Confident AI can generate believable falsehoods without understanding factual reality.
  • Challenges in explainable AI, bias detection, and AI ethics require urgent attention.
  • AI integration in everyday devices raises concerns about bias, accuracy, and accountability.

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Hackernoon

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I Let an AI Manage My Diabetes — And It Knew Me Better Than I Knew Myself

  • An architect with Type 2 diabetes embraces a 'Digital Twin' for chronic disease management.
  • The AI-based system, known as 'The Ghost,' tracks health data and offers personalized insights.
  • The relationship evolves from surveillance to trust, providing a new level of self-awareness.
  • The digital twin helps navigate the complexities of the body, improving health outcomes.

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Can You Learn Python in Just 1 Week and Build a Data Analytics Program?

  • Learning Python in just one week and building a data analytics program is possible with dedication, as Python is a beginner-friendly programming language with simple syntax close to everyday language.
  • The process involves starting with an introduction to Python, understanding data types and commands, applying knowledge through mini projects, and concluding with building a project including CRUD operations in seven days.
  • The advantages of Python for accessing and storing sales data include easy access, accurate storage, and simplifying steps based on accurate data, benefiting customers by facilitating product data retrieval, updating input errors, and minimizing transaction errors.

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Analyticsindiamag

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Cursor Brings AI Coding Agents to the Web and Mobile

  • Cursor has expanded its AI coding agents support to web and mobile, allowing developers to assign tasks and manage code through browsers and mobile devices.
  • The AI coding agents, known as Cursor Agents, can be accessed on desktops, tablets, and mobile devices, with support for installation as a Progressive Web App on iOS and Android.
  • Users can now type tasks directly into the web interface to prompt AI agents to work on codebases, with the ability to create and merge pull requests directly from the app.
  • Cursor also introduced an 'Ultra' plan for power users, offering 20x more usage than the Pro tier, and updated the Pro plan to an 'unlimited-with-rate-limits' model.

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Analyticsindiamag

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SatSure and Dhruva Space Sign MoU for Earth Observation Services

  • SatSure and Dhruva Space have signed an MoU to provide Earth observation-as-a-service solutions, combining data analytics and satellite expertise.
  • The partnership offers end-to-end solutions, satellite development, launch support, data analysis, and industry-specific insights.
  • The collaboration aims to meet the growing demand for EO data, reduce mission delays, and enhance India's global position in the Space economy.
  • The agreement integrates SatSure's data capabilities and Dhruva Space's satellite expertise, aiming to provide high-quality data and solutions to end customers.

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Analyticsindiamag

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Inside the Great AI Talent Heist of 2025

  • Meta is aggressively hiring top AI researchers from OpenAI, causing tension and competition.
  • OpenAI CEO announced a week off for all employees amid overwork culture concerns.
  • Meta sees OpenAI as its primary competitor, offering high compensation packages.

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