Data Science Blogs

2/7/2026 • EN

Will Kurt

Will Kurt is a data scientist and author writing about probability and statistics through his blog Count Bayesie. He explores Bayesian and frequentist methods with an intuitive, insight-driven approach, making complex ideas in probability accessible and engaging.

probability statistics bayesian analysis

Will Kurt

18

2/5/2026 • EN

Michael Toth

Michael Toth is a consulting data scientist and writer known for clear, practical guides to data visualization in R. His work focuses on ggplot, effective graph design, and helping data scientists communicate insights with impact.

Data Science R Programming Data Visualization

Michael Toth

20

2/4/2026 • EN

Neil Lawrence

Neil Lawrence is a researcher and thought leader writing about machine learning, artificial intelligence, and decision-making under uncertainty. His work explores the societal, ethical, and technical implications of AI, data science, and policy over the past decade.

artificial intelligence machine learning data science

Neil Lawrence

7

2/3/2026 • EN

Brendan O’Connor

Brendan O’Connor is a researcher and data scientist writing about programming languages, data analysis, and machine learning. His work bridges Python, R, and Java, with thoughtful essays on software tools, research workflows, and empirical data exploration.

data science machine learning programming languages

Brendan O’Connor

6

2/3/2026 • EN

Adit Deshpande

Adit Deshpande writes about deep learning, machine learning research, and AI concepts with a strong focus on clarity and intuition. His blog breaks down influential papers, neural networks, and real-world ML applications for beginners and practitioners alike.

deep learning machine learning neural networks

Adit Deshpande

10

2/2/2026 • EN

Shreya Shankar

Shreya Shankar is a PhD researcher sharing insights on AI, machine learning, HCI, and data science. Her work explores LLM applications, AI evaluation, and practical ML engineering challenges, reaching a wide audience across blogs and social media.

AI research machine learning LLM applications

Shreya Shankar

17

2/2/2026 • EN

Oscar Baruffa

Oscar Baruffa is a Senior Analytics Manager and data professional helping organisations improve data maturity and build systems from scratch. With a background spanning engineering, strategy, and analytics, he also supports professionals transitioning into data-driven careers.

data analytics analytics manager data maturity

Oscar Baruffa

8

2/2/2026 • EN

Joel Grus

Joel Grus is a software engineer and writer exploring data science, Python, and modern AI systems. His blog blends practical coding experiments, agent-based AI projects, and thoughtful reflections on technology, learning, and life.

python data science artificial intelligence

Joel Grus

25

2/2/2026 • EN

Jake VanderPlas

Jake VanderPlas is an astronomer and open-source leader, serving as Director of Open Software at the University of Washington’s eScience Institute. He writes and builds widely used Python tools for data science, machine learning, and scientific computing.

python data science machine learning

Jake VanderPlas

66

2/1/2026 • EN

Edwin Thoen

Edwin Thoen’s blog explores practical insights in data science, machine learning, and R programming. He writes about reproducible workflows, model management, data analysis, and strategies to avoid overengineering and improve project outcomes.

data science machine learning r programming

Edwin Thoen

9

2/1/2026 • EN

Tom Mock

Tom Mock’s blog focuses on R programming, data visualization, and reproducible research. He shares practical tutorials for RMarkdown, Quarto, tidyverse, and creative data presentation techniques.

r programming data visualization rmarkdown

Tom Mock

20

2/1/2026 • EN

Benjamin Smith

Benjamin Smith’s blog RObservations focuses on R programming, data analysis, and statistical computing. He shares tutorials, package development insights, and practical examples for data visualization, social network analysis, and reproducible research.

r programming data analysis r packages

Benjamin Smith

6

2/1/2026 • EN

Randy Zwitch

Randy Zwitch is a software engineer specializing in Python and data engineering. His blog features detailed tutorials on building and optimizing Python tools like PyArrow with GPU/CUDA support, Docker workflows, and high-performance data processing.

python pyarrow cuda

Randy Zwitch

96

1/31/2026 • EN

Kevin Markham i

Kevin Markham is a data scientist, educator, and writer focused on practical machine learning, Python, and AI literacy. He’s best known for clear explanations of scikit-learn, pandas, and modern AI trends, helping practitioners stay effective without hype or overengineering.

Machine Learning Python AI

Kevin Markham i

12

1/31/2026 • EN

Zoe Locke

Zoe Locke writes about the R programming ecosystem, covering package development, testing, data manipulation, and tips for R users at all levels. Her posts include practical advice, tutorials, and insights for R developers and data scientists.

R programming R packages data science

Zoe Locke

18

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

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

Tal Galili

Tal Galili is an R developer and data scientist passionate about the R community. He is the creator and maintainer of popular R packages such as installr and heatmaply, and frequently shares tutorials, insights, and updates about R, data visualization, and statistical computing.

R data visualization heatmaply

Tal Galili

10

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

8

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

42

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

12

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

24

1/25/2026 • EN

Susan Shu Chang

Susan Shu Chang’s blog focuses on machine learning careers, productivity, and leadership. Drawing from her experience as a principal data scientist and O’Reilly author, she shares practical advice on succeeding in ML interviews, career design, and managing high-impact work.

Machine Learning Data Science Careers ML Interviews

Susan Shu Chang

8

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

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

19

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

1/23/2026 • EN

Ferenc Huszár

Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.

machine learning research LLM theory AI reasoning

Ferenc Huszár

15

1/23/2026 • EN

Stern Semasuka

Stern Semasuka is a data scientist at WestJet who writes beginner-friendly guides on machine learning, data analysis, and programming. His blog simplifies complex ML concepts using practical projects and the Feynman Technique.

machine learning data science beginner tutorials

Stern Semasuka

10

1/22/2026 • EN

Eugene Yan

Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.

AI machine learning recommendation systems

Eugene Yan

185

1/21/2026 • EN

Yoel Zeldes

Yoel Zeldes is an algorithm engineer at AI21 Labs with a background in computer science from Hebrew University. He specializes in machine learning, NLP, computer vision, and distributed computing, focusing on data-driven solutions and clean, elegant code.

Machine Learning NLP Computer Vision

Yoel Zeldes

27

1/21/2026 • EN

Jessie Frazelle

Jessie Frazelle is a technologist and author specializing in hardware, software, and data center technologies. She writes about chip design, mechanical CAD, energy systems, 3D printing, and security in computing.

Hardware Chip Design Data Centers

Jessie Frazelle

67

1/13/2026 • EN

Simon Waight

Simon Waight is a software developer and technical blogger who writes about Microsoft developer events, GitHub Copilot, AI applications, and modern web development with practical insights for developers.

microsoft ignite github copilot software development

Simon Waight

186

1/12/2026 • EN

Tomas Petricek

Tomas Petricek is an assistant professor at Charles University in Prague and a partner at fsharpWorks, specializing in programming systems, functional programming, and the history and philosophy of computing.

functional programming programming systems philosophy of computing

Tomas Petricek

20

1/12/2026 • EN

Ned Bellavance

Ned Bellavance — Veteran IT professional and founder of Ned in the Cloud, creating courses, podcasts, and technical content on cloud and infrastructure.

Cloud Computing DevOps IT Training

Ned Bellavance

203

1/7/2026 • EN

Jacob Tomlinson

Jacob Tomlinson writes about Python, open-source development, GitHub Actions, automation, and best practices for software maintenance.

Python Open-Source GitHub Actions

Jacob Tomlinson

151

1/7/2026 • EN

John Blischak

John Blischak is a software developer and data scientist who writes about R programming, bioinformatics, and open-source tools for data analysis and visualization.

R Programming Bioinformatics Open Source

John Blischak

12

1/2/2026 • EN

Kevin Avignon

Kevin Avignon is a software engineer and writer embracing the focused generalist mindset, sharing thoughtful insights on engineering, developer productivity, performance, system design, and the human side of building software through in-depth articles and essays.

Software Engineering Developer Productivity Generalist Mindset

Kevin Avignon

34

11/8/2025 • EN

Piotr Migdał

Piotr Migdał – Blog of a Data Explorer and Visual Storyteller This is the personal blog of Dr. Piotr Migdał, a technologist and visual storyteller with a strong background in quantum physics, deep learning, and data visualization. He is a founding engineer at Quesma, where he uses AI to turn complex datasets into clear visual insights through ggplot2 charts and Grafana dashboards. His posts combine technology, creativity, and personal reflection. You will find articles about machine learning, interactive data visualization, and projects that bridge science and art. Beyond his technical work, Piotr writes about dance, mindfulness, and the human side of creativity. This blog is a great read for developers, data scientists, and anyone interested in how technology and art can come together to explain the world in a meaningful way.

deep learning quantum computing

Piotr Migdał

39

11/7/2025 • EN

Yasoob Khalid

Yasoob Khalid is a developer and writer best known for the free, open-source book Intermediate Python and his project-driven follow-up, Practical Python Projects. His articles and books have reached 5+ million readers across 189+ countries, and his blog remains a go-to place for clear, practical Python insights. By day, Yasoob works on Azure Cloud Networking at Microsoft, and by night he continues to publish tutorials, notes, and experiments that demystify real-world Python for learners at every level. He’s also the author behind the long-running Python Tips site and newsletter, where he focuses on approachable explanations and hands-on examples.

python

Yasoob Khalid

188

11/3/2025 • EN

Matt Layman

mattlayman.com is a blog by Matt Layman, a software engineer who focuses on building complex web applications, primarily using Django. He shares his expertise through regular live streams on YouTube, where he teaches others how to build advanced SaaS projects. Matt is also deeply involved in the tech community in Frederick, Maryland, where he founded Python Frederick and has helped organize local tech events. Currently, Matt is a Senior Staff Software Engineer at Included Health, working to enhance the patient experience through technology. His blog offers insights into web development, community involvement, and his career journey.

django python

Matt Layman

418

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