Statistics 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

19

2/4/2026 • EN

Hilary Parker

Hilary Parker is a data scientist focused on the intersection of data science and product, with experience at Stitch Fix, Etsy, and the Biden 2020 campaign. She co-hosts the popular Not So Standard Deviations podcast and writes about reproducibility, statistics, and real-world data work.

Data Science Statistics R Programming

Hilary Parker

5

2/3/2026 • EN

Noam Ross

Noam Ross is a research software engineer and data scientist writing about open-source software, reproducible research, and the ethics of technology. His blog explores tooling choices, CI/CD workflows, and the social impact of software in scientific work.

open source research software reproducible science

Noam Ross

36

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

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

Allie Coleman

Allie Coleman writes about real-world software engineering through practical stories and experiments, with a strong focus on Ruby on Rails, performance, observability, and modern tools like ChatGPT. Her posts blend hands-on problem solving with thoughtful takes on product and engineering practices.

ruby on rails software engineering performance

Allie Coleman

10

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

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

Russ Cox

Russ Cox writes deep, authoritative essays on Go, compilers, floating-point algorithms, and software correctness. His work explores performance, debugging techniques, supply chain security, and the mathematical foundations behind reliable systems.

go programming compilers floating point algorithms

Russ Cox

24

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

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

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

1/26/2026 • 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

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

Andis Ariet

Andis Arietta is a data scientist and evolutionary ecologist researching how land management and climate change shape eco-evolutionary dynamics. With a background in genomics, statistics, and machine learning, he bridges science, conservation, and data-driven decision making.

Data Science Evolutionary Ecology Machine Learning

Andis Ariet

7