PinnedPeng QianinTowards Data ScienceScikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib code·8 min read·Mar 21, 2024--2--2
PinnedPeng QianinTowards Data ScienceCombining Multiprocessing and Asyncio in Python for Performance BoostsUsing a real-world example to demonstrate a map-reduce program·7 min read·May 4, 2023--4--4
PinnedPeng QianinTowards Data ScienceIntroducing Python’s Parse: The Ultimate Alternative to Regular ExpressionsUse best practices and real-world examples to demonstrate the powerful parse library·7 min read·Jun 19, 2023--3--3
Peng QianinTowards Data ScienceVisualizing What Batch Normalization Is and Its AdvantagesOptimizing your neural network training with batch normalization·5 min read·Feb 3, 2024--1--1
Peng QianinTowards Data ScienceEnsuring Correct Use of Transformers in Scikit-learn PipelineEffective data processing in machine learning projects·11 min read·Dec 20, 2023----
Peng QianinTowards Data ScienceHow to Optimize Multidimensional Numpy Array Operations with NumexprA real-world case study of performance optimization in Numpy·5 min read·Oct 22, 2023--2--2
Peng QianinTowards Data ScienceExploring Numexpr: A Powerful Engine Behind PandasEnhancing your data analysis performance with Python’s Numexpr and Pandas’ eval/query functions·10 min read·Sep 22, 2023--1--1
Peng QianinTowards Data ScienceSeaborn 0.12: An Insightful Guide to the Objects Interface and Declarative GraphicsStreamlining your data visualization journey with Python’s popular library·14 min read·Aug 24, 2023--2--2
Peng QianinTowards Data ScienceEfficient k-Nearest Neighbors (k-NN) Solutions with NumPyLeveraging NumPy’s broadcasting, fancy Indexing, and sorting for performance computing·9 min read·Jul 20, 2023--1--1
Peng QianinTowards Data SciencePython Lists Vs. NumPy Arrays: A Deep Dive into Memory Layout and Performance BenefitsExploring allocation differences and efficiency gains·9 min read·Jul 14, 2023--3--3