Category: Data Analysis
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Polars Lazy vs Eager: 50M Row Memory & Speed Benchmark
Lazy evaluation cut memory by 73% on 50M rows. Real benchmark with sensor data shows when lazy mode wins โ and when it doesn't.
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PySpark vs Dask vs Polars: 1TB Cloud Cost Breakdown
Compare PySpark, Dask, and Polars cloud costs at 1TB scale. Real AWS/GCP benchmarks reveal which framework saves you the most money.
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DoWhy Internals: Building a Causal Inference Engine from Scratch
DoWhy's graph algorithms solve identification before touching data. Build a causal engine from scratch to understand why 90% of 'causal' ML is just regression.
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Stop Learning Pandas First: SQL Is the Better Starting Point
Discover why SQL beats Pandas as your first data skill. Compare learning curves, job demand, and the practical path to data analysis mastery.
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Polars vs Pandas: When Pandas Wins on Real Data
Polars vs Pandas comparison reveals surprising performance gaps on real datasets. Learn when each library wins and why speed isn't everything.
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Your First Data Analysis Project: CSV to Insights Guide
Learn data analysis fundamentals with a hands-on CSV project. Master Pandas, visualization, and insights extraction in this beginner-friendly guide.
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lifelines vs scikit-survival: Cox Model Speed on 5K Patients
Compare Cox model performance: lifelines vs scikit-survival on 5K patients. Speed tests reveal surprising winner for survival analysis workflows.
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IQR vs Isolation Forest vs DBSCAN: 47% False Positive Gap
Compare IQR, Isolation Forest, and DBSCAN for anomaly detection. Discover why false positive rates differ by 47% and which method fits your data.