Data analysis Blogs

2/7/2026 • EN

Andrew Healey

Andrew Healey writes about programming languages, compiler design, systems programming, and performance optimization. His blog covers building interpreters, compilers, sandboxes, games, and creative developer tooling, often with a focus on speed and efficiency.

Programming Languages Compilers & Interpreters Systems Programming

Andrew Healey

124

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

2/5/2026 • 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

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

2/4/2026 • EN

James Bach

James Bach is a leading voice in software testing, known for Rapid Software Testing and sharp critiques of Agile, automation, and AI in testing. He writes about quality, ethics, test strategy, and taking testing seriously as a professional discipline.

software testing rapid software testing quality assurance

James Bach

9

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

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

2/2/2026 • 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

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

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

Tomaž Kaštrun

Tomaž Kaštrun is a BI and data developer specializing in T-SQL, SQL Server, and data analytics. With 15+ years of experience, he shares expertise in query optimization, machine learning with R, data mining, and business intelligence development.

t-sql sql server data analytics

Tomaž Kaštrun

9

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

2/1/2026 • EN

Ramiro Gómez

Ramiro Gómez shares practical Python and data science tutorials, focusing on pandas, data visualization, and programming insights. His blog provides hands-on guides for analyzing, visualizing, and understanding complex datasets.

python pandas data science

Ramiro Gómez

8

2/1/2026 • EN

Paul's Weblog

Paul’s Weblog is a personal, tech-adjacent blog mixing software engineering insights, weeknotes, developer tips, and thoughtful cultural commentary. Short, witty posts covering tools, events, and reflections from life in tech.

software engineering developer blog tech culture

Paul's Weblog

114

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

1/31/2026 • EN

Ben Balter

Ben Balter writes about technology leadership, open source, and modern collaboration at scale. His essays blend engineering mindset with management, community building, remote work, and transparent communication—shaped by years of experience at GitHub and in public-sector tech.

open source technology leadership developer collaboration

Ben Balter

176

1/29/2026 • EN

Daniel Miessler

Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.

Daniel Miessler cybersecurity artificial intelligence

Daniel Miessler

95