A guide to useful RStudio shortcuts, settings, and tips to improve productivity and code readability for R programming.
Announces the addition of 6 new R programming books to the Big Book of R collection, covering statistics, machine learning, and data science.
Explains the history and differences between IPython, Jupyter Notebook, JupyterLab, and related terms in the Python data science ecosystem.
A guide explaining the benefits of conda virtual environments and six essential commands to create, activate, and manage them for Python projects.
![Big Book of R at 400 [New milestone!]](https://alldevblogs.blob.core.windows.net/thumbs/article-12e01710b8e8-full-a2e2e955.webp)
The Big Book of R, a curated collection of free R programming books, celebrates a milestone of over 400 entries and requests community support for hosting costs.
Explains the differences between conda, Anaconda, and Miniconda, focusing on their roles as Python distributions and package/environment managers for data science.
Yihui Xie announces his departure from RStudio/Posit after 10+ years, discusses the layoff, and outlines the future maintenance of key R packages.
Interview with Emanuel Zgraggen, CEO of Einblick, on his career journey and building a visual computing platform for accessible data analysis.
A data science tutorial using a confusion matrix to calculate the real probability of having a disease after a positive diagnostic test result.
Interview with Itai Bar Sinai, co-founder of Mona Labs, discussing AI monitoring, product-oriented data science, and the Israeli ML community.
Analysis of Hacker News job posts shows the Data Scientist role declining while ML Engineer roles rise, indicating a shift in the data job market.
Author shares how following curiosity in writing and tech led to writing a machine learning book, promotions, and career growth.
Interview with Chetan Sharma, CEO of Eppo, discussing A/B testing, statistics engineering, and building a modern experimentation platform.
Announcement of an upcoming O'Reilly book titled 'Python Polars: The Definitive Guide', a comprehensive guide to the Polars DataFrame library.
Explores using Prolog for symbolic reasoning in data science, integrating it with Python for tasks like piecewise regression analysis.
An introduction to the #30DayChartChallenge, a community data visualization event with daily prompts for April, including its origins and format.
Archive of a cohort-based online course teaching developers and researchers how to use the command line for automation and data science tasks.
A retrospective on forming a research team in 2022 to apply machine learning to challenges in health and social sciences, including data management and validation.
Explores the intersection of multiple imputation and probabilistic record linkage, proposing a method to sample link sets for robust statistical analysis.
Author announces closing his data science training company after seven years and shares his new role as a Senior Machine Learning Engineer.
