Articles

Insights, tutorials, and research in AI, data science, wavelet signal processing, and modeling.
From fundamentals to advanced applications.

AI, Data Science, wavelet signal processing, and Modeling

UV Project Setup Guide

🚀 UV Project Setup Guide A Clear Path from Any Python Project to Reproducible Environments 🌟 Why This Guide Matters In modern Python development, the biggest challenge is not writing code —it is...

Load Dataset From URL

A Clean and Reproducible Way to Load Datasets from URLs in Python Building a reusable data loader for remote data sources Introduction In modern data science workflows, datasets are rarely stored...

Top UIs for Markdown Writing

Top Open-Source UIs for Markdown Writing with Local Ollama (2026 Edition) From Chat Interfaces to Full Writing Workstations for Private, Local LLM Workflows Running Ollama locally unlocks a powerful...

Pyspark Errors on Windows

HADOOP_HOME is unset, pyspark.pandas won't import, and that index warning — all solved in one place, This article displays the methods how to solve these errors...

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Series of Wavelet Transform Books

The series of Wavelet Transform in Practice:  From Theory to Production-Ready Python Application presents a comprehensive exploration of wavelet theory, computational methods, and real-world applications. Across five volumes, the series guides readers from the mathematical foundations of multiscale analysis to advanced wavelet techniques and domain-specific applications in scientific, environmental, financial, and digital systems. Each volume combines clear conceptual explanations with practical Python implementations to support reproducible and interpretable data analysis.

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New books are currently in preparation at Deepsim Press.

Our upcoming publications will continue to explore topics in data science, artificial intelligence, and mathematical modeling, with a focus on rigorous methods and practical applications.


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