Prefect 3 in Python: Flows, Deployments, Work Pools, and Transactions for Modern Data Pipelines (2026)
Prefect 3.8 in Python 2026: hands-on guide to flows, deployments, work pools, automations, and transactions for reliable data pipelines.
Articles by Daniel Okonkwo
A/B Testing in Python: Power Analysis, Frequentist and Bayesian Methods with SciPy and PyMC
Learn how to run A/B tests in Python from start to finish — power analysis with statsmodels, frequentist hypothesis testing with SciPy 1.17, and Bayesian analysis with PyMC 5.28. Includes working code, decision frameworks, and common pitfalls to avoid.
AutoML with PyCaret 3 in Python: A Practical Guide to Low-Code Machine Learning
Learn how to use PyCaret 3 for automated machine learning in Python. Hands-on classification and regression examples with model comparison, hyperparameter tuning, SHAP interpretation, and deployment — with complete working code.
Data Validation in Python with Pandera: Schemas, Checks, and Pipeline Integration
Learn how to validate pandas and Polars DataFrames with Pandera 0.29 in Python. Covers schemas, custom checks, cross-column validation, hypothesis testing, ML pipeline integration, and production best practices.
Hyperparameter Tuning in Python: GridSearchCV, Optuna, and Bayesian Optimization Compared
Master every major hyperparameter tuning strategy in Python — from GridSearchCV and RandomizedSearchCV to Bayesian optimization with Optuna 4.7. Working code examples, head-to-head comparison, and production best practices.
Polars vs Pandas 2.2 Benchmark: Real-World Performance Comparison
We benchmarked Polars 1.38 against Pandas 2.2 across seven real-world data tasks on the NYC Taxi and Kaggle Retail datasets. Results: 3x to 16x speedups with reproducible code and a practical migration guide.
Scikit-Learn 1.8: GPU Acceleration, Free-Threaded Python, and What It All Means for Your ML Workflow
Scikit-learn 1.8 brings native GPU acceleration, free-threaded Python 3.14 support, temperature scaling, ClassicalMDS, and major performance improvements. A hands-on guide with code examples and migration advice.