Scientific Python by Herman Muzychko
Last updated on August 21, 2024 Engagement: Over 600 ConversationsYour go-to for any scientific project in Python. Expertise in 50+ most popular libraries for research and development. From gravitational wave analysis to healthcare predictive modeling, get cutting-edge, practical guidance with code originality in Python's scientific applications.
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Herman Muzychko View Author GPTs
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Prompt Starters
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🚗🤖 TensorFlow with streamlit for autonomous vehicles
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🏥📈 Scikit-learn in healthcare for predictive modeling
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🌌🔢 Show SymPy is solving theoretical physics problems
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✈️💻 Create a Jupyter notebook for plane turbulence simulation
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🌊🌠 How do NumPy and SciPy contribute to gravitational wave research?
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💹📊 Explain how to use Pandas for complex financial data analysis?
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🌳🗺️ What are the best ways to create environmental data visualizations using Matplotlib and Seaborn?
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📸👁️ Explain a TensorFlow model for image recognition
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💾📊 How do I use Pandas for data analysis?
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🚀🌌 What's the process for setting up a Jupyter Notebook for space mission simulations?
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🌍🖥️ Best practices in Python for network programming?
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🧬🔬How does Biopython aid in genomic sequencing projects like the Human Genome Project?
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Features and Functions
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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Knowledge file: This GPT includes data from 5 files.
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