Data analysis Blogs

1/29/2026 • EN

Steve Losh

Steve Losh is a software engineer and Lisp enthusiast who writes about Common Lisp, functional programming, and game development. His blog covers practical programming techniques, symbolic computation, macros, and building small projects and emulators.

Steve Losh Common Lisp functional programming

Steve Losh

62

1/29/2026 • EN

Alex Gaynor

Alex Gaynor is a software resilience engineer focused on building reliable, secure systems across government, industry, and open source. He writes about software security, serialization, benchmarks, and the economics of open-source infrastructure.

Alex Gaynor software resilience system reliability

Alex Gaynor

202

1/28/2026 • EN

Craig Kerstiens

Craig Kerstiens is a product leader at Crunchy Data, specializing in managed Postgres services, distributed databases, and performance optimization. He curates Postgres Weekly, speaks at conferences, and helps enterprises scale and optimize their Postgres deployments.

Craig Kerstiens Postgres expert Crunchy Data

Craig Kerstiens

164

1/28/2026 • EN

Haki Benita

Haki Benita is a software developer and technical lead specializing in databases, web development, software design, and performance tuning. He shares insights through interviews, trainings, and talks, and occasionally offers consultancy and contract work.

Haki Benita software developer technical lead

Haki Benita

59

1/28/2026 • EN

Mara Averick

Mara Averick is a data enthusiast and R programmer who shares insights, tutorials, and tips on data analysis, visualization, and reproducible workflows. She creates and explores tools in the R ecosystem, including packages like {datapasta}, and enjoys making data more accessible and visually engaging.

R data visualization reprex

Mara Averick

31

1/28/2026 • EN

kieran healy

Kieran Healy is a Professor of Sociology at Duke University, specializing in social networks, data visualization, and sociological theory. He is the author of several books, including The Ordinal Society and Data Visualization.

Sociology data visualization social networks

kieran healy

11

1/28/2026 • EN

Mark Litwintschik

Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.

Big Data AI GIS

Mark Litwintschik

100

1/28/2026 • EN

Cedric Scherer

Cédric is an independent data visualization specialist and ecologist who helps organizations communicate insights through engaging visualizations and reproducible data products. He combines analytical expertise, programming, and design to create interactive graphics, reports, and web applications.

data visualization ggplot2 reproducible workflows

Cedric Scherer

16

1/28/2026 • EN

Jakub Nowosad

Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.

geocomputation spatial analysis environmental modeling

Jakub Nowosad

43

1/28/2026 • EN

Garrick Aden-Buie

Garrick Aden-Buie is a Software Engineer for Shiny at Posit (formerly RStudio), building tools with R, Shiny, and R Markdown to support data science workflows. He is also an educator and former data scientist with experience in health analytics and smart home research.

Shiny R development data science tools

Garrick Aden-Buie

19

1/28/2026 • EN

Christophe Dervieux

Christophe Dervieux is a software engineer at RStudio (Posit) working on the R Markdown ecosystem, including rmarkdown, knitr, blogdown, and bookdown. He shares tips and experiences with R, reproducible reporting, and open-source contributions.

R Markdown reproducible reporting open source R

Christophe Dervieux

7

1/28/2026 • EN

Andrew Heiss

Andrew Heiss is a researcher and educator focused on data visualization, causal inference, and applied statistics using R and Bayesian methods. He writes extensively about reproducible research, GIS, and analytical workflows, and teaches data science and social science methods.

data visualization causal inference R programming

Andrew Heiss

55

1/28/2026 • EN

Yihui Xie

Yihui Xie is a statistician and software developer best known for his work on R Markdown, knitr, and tools for reproducible research. He blogs about R, web technologies, publishing workflows, and practical programming techniques.

r programming reproducible research r markdown

Yihui Xie

14

1/27/2026 • EN

James Le

James Le leads Developer Experience at Twelve Labs, building foundation models for video understanding and advancing production ML and data infrastructure. A former ML advocate and data science journalist, he also hosts Datacast and writes Data Notes on industry, research, and careers in AI.

machine learning engineering video ai developer experience

James Le

17

1/26/2026 • EN

Emir U

SEO Short Description (2–3 lines): Emir U. is a research-focused software engineer applying mathematics, statistics, and computer science to real-world problems, with 18+ years in software and 7+ years in commercial research. A PhD candidate in astronomy with a background in applied maths and philosophy, he writes about machine learning, logic, and statistical modeling.

data science research applied statistics machine learning methods

Emir U

25

1/25/2026 • EN

Young Kenyan

Musings of a Young Kenyan is a personal tech blog sharing hands-on projects, programming tutorials, and reflections on data science and software development. It features practical guides, automation experiments, and thoughtful takes on technology and problem-solving.

Software Development Python Automation Bots

Young Kenyan

32

1/25/2026 • EN

Neal Lathia

Neal Lathia is a machine learning practitioner and writer exploring how AI is built, evaluated, and adopted in the real world. His blog focuses on AI progress, responsible deployment, and the human impact of machine learning systems.

Artificial Intelligence Machine Learning AI Evaluation

Neal Lathia

11

1/25/2026 • EN

Ben Recht

Ben Recht is a researcher and writer exploring the history, theory, and practice of decision-making by humans and machines. On arg min, he covers optimization, machine learning, cybernetics, and occasional reflections on music and culture.

Machine Learning Optimization Decision Making

Ben Recht

26

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/24/2026 • EN

Michelle Barker

Michelle Barker is a front-end developer and writer behind CSS { In Real Life }, a blog dedicated to modern CSS and real-world web development. She shares honest, practical insights on evolving CSS features, front-end techniques, and the web community.

css front-end development web design

Michelle Barker

227