Learning EDA with Jupyter Notebooks
10 hands-on Jupyter notebooks for Exploratory Data Analysis using real NIST datasets. Download notebooks with bundled data files, or run them instantly in Google Colab.
Posts tagged “python”
← All postsAI Agents Write Features, Not Production Systems
Why prompting an AI agent to build a FastAPI app gets you functional code but not production infrastructure. How hand-crafting 13 production concerns into a chassis lets the agent focus on what it's good at: business logic.
on Translucent Computing
Text-To-Speech Example
Demonstrates audio generation for blog content using text-to-speech technology with Python and Jupyter Notebook.
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Performance Waveform Generator Starter Notebook
Starter notebook demonstrating sine wave generation with noise, using pandas for data processing and spectrogram visualization in Python.
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Using SymPy to Build ECG Model
Applies computational mathematics using SymPy for symbolic, numerical, and graphical approaches to building an ECG model.
on Translucent Computing
SymPy and ECG Notebook
Companion Jupyter notebook for the SymPy ECG model post, providing runnable code for electrocardiogram modeling.
on Translucent Computing
Pandas and NumPy Performance Test Notebook
Testing notebook demonstrating how to optimize Python code with pandas and NumPy for improved computational efficiency.
on Translucent Computing
Optimizing code with pandas and NumPy
Discusses SciPy framework optimization techniques for data science using pandas and NumPy for improved performance.
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Performance In Jupyter Python
Examines Jupyter magic commands for systematically identifying and resolving performance bottlenecks in Python code.
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Slow Performance Test Notebook
Notebook for profiling slow performance in Python using mprun magic command with code in separate files.
on Translucent Computing
ML in Frequency Domain?
Explores machine learning approaches applied to frequency domain analysis of time-series data.
on Translucent Computing
Fourier Series From Points
Mathematical exploration of computing Fourier series from data points, with applications to machine learning using Python and Jupyter Notebook.