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Python data cleaning with pandas for missing data. Handle np.nan using dropna() or fillna() with the mean. Fix data types with pd.to_numeric(errors='coerce').
The post File I/O with NumPy: Loading and Saving Data appeared first on Python Lore.
Matrix multiplication for PCA transformation, projecting centered data onto principal axes. Visualize transformed data with scatter plots using Matplotlib.
The post Understanding Principal Component Analysis with scikit-learn appeared first on Python Lore.
HTTP 301, 302, 307, 308 redirects for POST requests. Preserving the request method vs changing to GET. Python urllib.request.HTTPRedirectHandler example.
The post Managing HTTP Redirects with http.client.HTTPRedirectHandler appeared first on Python Lore.
Pandas sort_values performance guide. Compare quicksort, mergesort, heapsort. Stable vs unstable sort. O(n log n) complexity, data types, memory impact.
The post Sorting Data with pandas.DataFrame.sort_values appeared first on Python Lore.
Flask API error handling for JSON. Custom JSON error responses for 404 and 500 status codes using @app.errorhandler instead of Flask's default HTML pages.
The post Serving JSON Data with Flask appeared first on Python Lore.
The simple scorer you forged was a solid piece of work. It took y_true and y_pred and produced a number that meant something to the business. A fine tool. But some jobs require more specialized instruments. A simple comparison of...
The post Customizing Scoring and Evaluation Metrics in scikit-learn appeared first on Python Lore.