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Replying to @DevoxPosting
Vamos por el mismo camino. 36 materias de Ingeniería en Informática y ni el intermedio. Razor Pages, Winforms, Webforms, FlaskAPI, Sql Server y Postgre 6 años al pedo, no consigo laburo. Por qué? No tengo Rust o Angular... siempre tienen algo para decirme que no.
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✅ Day 12/100 #100DaysOfCode Spent the last two days deep in the world of Flask APIs, JWT authentication, and Insomnia workflows and honestly, I came out the other side feeling like I unlocked a whole new layer of backend superpowers. ✅ What I learned: Built and tested a full login → access token → refresh token flow Learned how JWT signatures, jti, and the blocklist actually work under the hood Debugged a stubborn "Signature verification failed" error Discovered that my refresh token was being revoked immediately (by design!) Got comfortable reading and decoding JWTs to understand their payloads Cleaned up my Insomnia setup with environment variables, templating, and reusable headers Strengthened my understanding of how Flask registers routes, blueprints, and class-based views Reinforced the importance of a stable JWT_SECRET_KEY Practiced real debugging instead of just copying code and hoping for the best #pythondevelopment #flaskapi #BackEndDevelopment #datascience
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IDログイン情報を持ったまま複数のアプリを移動する機能をGASで実装した。 もはやGASでやる意味はないのだが、まあ、なんというか、手習というか。 個々の機能はFlaskAPIを叩きにいけば好きに複合システム組めるのでは。 #SUNABACO #すなばこ2025冬
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FlaskAPI is winning the framework race 😮🚀 Rising from 29% in the previous year to 38%. With Django as the first runner up and Flask as the second. FastAPI also appears dominant in both Data science and web development 🔥🔥 #FastAPI #Django #flask
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Extract & Chunk Documents • Unstructured.io • Apache Tika • PyPDF2 • LangChain Document Loaders • LlamaIndex Readers • Haystack DocumentStore • PDFPlumber • docx2txt • BeautifulSoup 2️⃣ Generate Embeddings • OpenAI Ada Embeddings • Sentence-Transformers • Hugging Face Embeddings • BGE Embeddings • E5 Embeddings • Cohere Embeddings • BAAI General Embeddings • Jina Embeddings • Instructor Embeddings 3️⃣ Store in Vector DB • Pinecone • Weaviate • Chroma • Qdrant • Milvus • FAISS • Elasticsearch • MongoDB Atlas Vector Search • pgvector • Supabase Vector 4️⃣ Build Retrieval System • LangChain Retrievers • LlamaIndex Query Engine • Haystack Pipeline • BM25/Elasticsearch • Hybrid Search (Weaviate/Pinecone) • ColBERT • Qdrant Recommender • DSPy RAG • LLM-as-Judge Reranking • Cohere Rerank 5️⃣ Connect to LLM with Prompts • OpenAI GPT • Anthropic Claude • Cohere Generate • Llama 3 • Mistral • AWS Bedrock • Azure OpenAI • HuggingFace TGI • LangChain Chains • Guidance • DSPy 6️⃣ UI & Feedback Loop • Streamlit • Gradio • FlaskAPI • FastAPI • LangSmith • Weights & Biases • MLflow • LARK Evaluation • TruEra • Ragas • AgentOps

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🙌🏾 you can also check the code on GitHub: github.com/yokwejuste/stripe… @stripe #stripe #flaskapi
Making payments with Stripe I'd like to highlight the importance of utilizing Stripe.js and Stripe Elements for securely handling card details directly on the client-side. { author: @yokwejuste } #DEVCommunity #ReactJS dev.to/yokwejuste/making-pay…
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#Webscraping with #AIAgents is here! ⚡ This solution provides info from a website and allows you to Q&A with available web content, using: 🫗 #FlaskAPI for creating endpoints ⛓️ @langchain for web scrapping & summary 🤗 @huggingface for question-answer #ML model
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Update verified!! Company : 3i info tech Location: IIT Madras,Chennai Role : ML Engineer Rel Exp: 3 years Np :20 to 25 days Skillsets : Python, SQL, NLP, ML(Audio analysis/image processing experience would be an added advantage), Deep Learning,FlaskAPI or any other framework.
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🚨 Its been another great week with updates rolling out from @langchain Here is my short 🔑 takeaways: LangServe - Host your chains, tools and agents quickly with preconfigured FlaskAPI server. - Langserve got it's own playground - Input/Output Schemas LangSmith - Compare different test runs in a beautiful UI to understand what is happening with your application Cookbooks: - Multi-Vector retriever best practices for text and tables parsed from pdfs - Multi-modal LLMs unlock RAG on images Favorite Prompts: Amazing categorization done by @RLanceMartin and shared in his detailed post and blog x.com/RLanceMartin/status/17… - LangChain's Deeplearning course is on Coursera - 1hr quick RAG related.
@langchain released a prompt hub ~1.5 months ago to share test prompts. I did a deep dive into hundreds of user-generated public prompts and distilled major themes. Writeup w/ themes prompt highlights: blog.langchain.dev/the-promp…
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• Loading Dataset • Exploratory Data Analysis • Data Pre-processing and Data Preparation • Modeling and Evaluation • Deployment of the Model Using FlaskAPI Let's look into the project description and problem statement for more understanding of the project👇
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Looking to accelerate your data labeling process for training YOLOv8? In this article, @danNH2006 takes you through his step-by-step process for data collection, data annotation, dataset structure, training YOLOv8, testing in real environments, and even deployment using FlaskAPI
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Our friend Henry published an insightful article on "Deploying YOLOv8 with FlaskAPI for free!" Learn about computer vision and deployment techniques. Flexible and user-friendly object detection using Flask API. Check it out now! ⬇️ bit.ly/3BBd6fr
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How to deploy YOLOv8 with FlaskAPI for free! henrynavarro.org/deploying-y…

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