Top 20 Python libraries for data science
A refreshed 2026 view of twenty Python libraries that matter most across data wrangling, statistics, machine learning, NLP, experimentation, and production work.
2018-06-07 · 12 min
Insights
Engineering Blog
Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
Top 20 R Libraries for Data Science [Infographic]
A refreshed 2026 view of the R packages that matter most for wrangling, visualization, modeling, reproducible pipelines, and delivery.
2018-05-11 · 8 min
Top 7 Data Science Use Cases in Finance
A practical overview of how financial firms use data science for risk, fraud, forecasting, personalization, and operational intelligence.
2018-04-30 · 7 min
Hadoop 3: Comparison with Hadoop 2 and Spark
A modern comparison of Hadoop 3, Hadoop 2, and Apache Spark, including what changed in Hadoop 3 and how to choose the right platform in 2026.
2018-04-19 · 9 min
Chatbot APIs and Platforms Compared
A practical comparison of chatbot APIs and platforms, covering orchestration, retrieval, NLU, integrations, governance, and modern assistant architecture.
2018-04-06 · 10 min
Data Science in Healthcare: 7 High-Value Applications
A practical guide to data science in healthcare, including seven high-value applications across imaging, clinical risk, operations, patient engagement, and drug discovery.
2018-03-23 · 9 min
Data Science in Banking: 9 Analytics and AI Use Cases
A practical guide to data science in banking, covering analytics and AI use cases such as fraud detection, credit risk, AML, churn prediction, customer intelligence, and operations.
2018-03-16 · 9 min
Bitcoin price forecasting with deep learning algorithms
A 2026-safe look at what deep learning can and cannot do for Bitcoin forecasting, with a more realistic framing for model design and evaluation.
2018-02-26 · 10 min
Top 10 Technology Trends
A 2026 refresh of the old 2018 trend list, focused on which themes actually endured and what still matters for AI, data, and platform teams.
2018-02-08 · 11 min
BI Tools Comparison: 6 Data Visualization and Analytics Platforms
A practical BI tools comparison covering six widely used business intelligence, dashboarding, and data visualization platforms, with guidance on fit, tradeoffs, and operating model.
2018-01-19 · 11 min
Scala Libraries for Data Science: 15 Tools That Still Matter
A modern guide to Scala libraries for data science, streaming, analytics, and JVM-native machine learning that still matter in real production systems.
2018-01-10 · 12 min
Python Libraries for Data Science: 15 Tools That Still Matter
A modern guide to the Python libraries for data science that still matter most across analytics, machine learning, visualization, and production data work.
2017-05-05 · 12 min