Explore tweets tagged as #FASTAPI
25 Python libraries you MUST know:. -NumPy, Pandas, Matplotlib.-TensorFlow, PyTorch, Scikit-learn.-Django, Flask, FastAPI.-NLTK, spaCy, SymPy.-Plotly, Dash, Bokeh.-Selenium, BeautifulSoup, OpenCV & more. #Python #DataScience #MachineLearning #100DaysOfCode #PythonLibraries
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maths/stats -> python -> pandas -> numpy -> matplotlib -> mysql -> scikit-learn -> xgboost -> pytorch -> transformers -> sbert -> -> fastapi -> dvc -> mlflow -> pyspark -> docker -> airflow -> ultralytics -> spacy -> opencv -> langchain -> qdrant. ur a full-stack ml engineer now.
html -> css -> js/ts -> react -> tailwind -> node.js -> express -> mongo db (or) next.js -> postgres -> prisma. ur a full-stack developer now.
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In Prague today, presenting my work at #EuroPython 2025. PS: Thatโs @tiangolo, the creator of FastAPI, checking out my poster.
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Day 6 โ LLMOps.๐ Deployed a fine-tuned LLM using FastAPI + Streamlit.๐ง REST API endpoints + interactive UI for inference.๐ง Key: serving models efficiently = real-world impact.๐ Next: versioning & monitoring. #LLMOps #FastAPI #Streamlit #AIEngineering #XaviDataTech #Day6
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Want to thrive in Data Science in 2025?. Here are must-know skills and tools:.- Python, SQL, R.- Pandas, NumPy, Polars.- Scikit-learn, TensorFlow, PyTorch.- Power BI, Matplotlib.- Airflow, Snowflake, Git.- MLflow, FastAPI, dbt. #DataScience #AI #MachineLearning #Python #SQL
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The FARM stack combines 3 powerful tools for building modern web apps: FastAPI, React, and MongoDB. In this course, @beaucarnes teaches you how to use them to build a TODO app. You'll learn about the stack, then use NGINX & Docker to deploy your app.
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