Hi all, this week’s blog post is about regular expressions. If you’ve been wondering how data scientists manipulate text quickly or you find yourself needing to find information in text and the thing you’re looking for follows a pattern, maybe you can benefit from learning more about regular expressions.
https://sdjmchattie.github.io/posts/2025/03/22/introduction-to-regular-expressions/
#blog #regex #regularexpressions #productivity #textmanipulation
Discovered a neat new tool last week: https://github.com/wr7/refold
It's similar to `fmt` and `fold` except that it automatically handles prefixes. Vim/Neovim `gq` can do this out of the box but fails (for me at least) when multiple prefixes are present, such as a Markdown block-quote inside Rust comments. E.g.
```
// > Some quoted text
// > to reflow.
```
`refold` handles this.
#Rust #RustLang #TextProcessing #TextManipulation #TextEditor
Effortlessly concatenate strings in R using base R, stringr, stringi, and glue.
Explore techniques to create employee summaries from name, job title, and salary data.
Each method has unique strengths - experiment to find the best fit for your projects.
Simplify string manipulation tasks and elevate your R skills.
#R #RStats #RProgramming #Programming #Coding #stringr #stringi #glue #TextManipulation #strings
Post: https://www.spsanderson.com/steveondata/posts/2024-08-13/
Effortlessly concatenate strings in R using base R, stringr, stringi, and glue.
Explore techniques to create employee summaries from name, job title, and salary data.
Each method has unique strengths - experiment to find the best fit for your projects.
Simplify string manipulation tasks and elevate your R skills.
#R #RStats #RProgramming #Programming #Coding #stringr #stringi #glue #TextManipulation #strings
Post: https://www.spsanderson.com/steveondata/posts/2024-08-13/
Counting characters in a string is easy in R with three approaches: base R's `gregexpr()`, `stringr`'s `str_count()`, and `stringi`'s `stri_count_fixed()`.
Base R provides a straightforward method, while `stringr` integrates well with tidyverse, and `stringi` excels in performance for large datasets.
Each method suits different needs. Try these out in your R projects to streamline text processing! 🚀
#RStats #DataScience #TextManipulation #R #Programming
Post: https://www.spsanderson.com/steveondata/posts/2024-08-09/
Counting characters in a string is easy in R with three approaches: base R's `gregexpr()`, `stringr`'s `str_count()`, and `stringi`'s `stri_count_fixed()`.
Base R provides a straightforward method, while `stringr` integrates well with tidyverse, and `stringi` excels in performance for large datasets.
Each method suits different needs. Try these out in your R projects to streamline text processing! 🚀
#RStats #DataScience #TextManipulation #R #Programming
Post: https://www.spsanderson.com/steveondata/posts/2024-08-09/
I tend to follow the logic of `awk` better than the one of `sed` (not being a `vi` enthusiast), but it is good to see when one might be better than the other:
https://www.linuxjournal.com/content/text-manipulation-linux-awk-vs-sed
Delve into the essential methods of the String class in Java, perfect for manipulating and mastering text in your coding projects. From basics like length() and charAt() to advanced operations like indexOf() and substring(), enhance your Java skills with us.
Blog - https://www.cogentuniversity.com/post/methods-of-strings-class-in-java
#JavaBasics #StringClass #CodingTips #LearnJava #JavaProgramming #CodeNewbies #DeveloperCommunity #TechSkills #Programming101 #JavaDevelopers #TextManipulation #SoftwareDevelopment
📝 "Automating sentences with R"
👤 Cara Thompson (@cararthompson)
🔗 https://www.cararthompson.com/posts/2022-09-09-automating-sentences-with-r
