I'm excited to introduce a new content series! Each week:
Monday: Introduction to one of my packages.
Tuesday: Exploration of a specific R.
Wednesday: Integration of VBA and R.
Thursday: Practical examples.
Friday: Insights and snippets from my book, "Extending Excel with Python and R"
It's so weird. The most part of my life I was a Full Stack Web Developer. HTML, CSS, JS, PHP, MySQL and so on. But I was always more happy on the frontend side. Especially CSS.
I work with Laravel for 6 years now and to see how easy and streamlined work can be really pulled me to the backend side.
I'm so hyped when I start the work on something while I'm creating the backend. And then I have to implement the frontend and I just have no motivation anymore.
I hope this is just a phase as I really enjoy to have full control over everything. The thing is: I love to optimize frontend stuff. But I don't really like to create it from scratch anymore.
Any european competiton to OpenAI is welcome , good to see Mistral coming with a new model for programming, Codestral. https://mistral.ai/news/codestral/
The TidyDensity package now includes new functions to calculate the Akaike Information Criterion (AIC) for various distributions, streamlining model quality assessment. Use functions like util_negative_binomial_aic() to automate AIC calculations, ensuring precise model evaluation.
To be completely fair, thread safety and atomics are advanced topics.
Several humans I have interviewed for engineering positions would also have a lot of trouble answering these questions. I couldn't write this code on a whiteboard without looking at the Rust library docs.
The main problem here is that the model is making up poor excuses to justify Arc<AtomicUsize>, showing poor reasoning skills.
Larger models like #GPT4 should do better with my #Rust#coding questions (haven't tried yet).
📊 Enhance Your Excel Skills with R! 📊 I wrote an R function using RDCOMClient to count sheets in an Excel workbook.
This tool automates Excel tasks, boosting productivity. Learn more techniques like this in my new book co-authored with David Kun: "Extending Excel with Python and R." Discover practical tips to enhance your data analysis skills. Get your copy here: https://packt.link/oTyZJ
Easily retrieve and analyze CMS metadata with customizable searches using .title, .keyword, and .modified_date. Choose data versions ("current", "archive", "all") and filter by media type ("all", "csv", "API", "other"). It returns a tidy tibble with essential metadata.
»Prusti is an automated program verifier for Rust, based on the Viper infrastructure. It leverages Rust's strong type guarantees to simplify the specification and verification of Rust programs.«
Do any of you know this and use it or are there "better" or even integrated tools for this, if such a thing is needed at all?
Trying to work on my couch for the day. See how it goes.
I usually have two 4K monitors attached to the MacBook and have the MacBook open to use the additional space. But I usually have to manage a dev team. On Friday it’s usually much quieter and I can focus on my dev stuff.
If I work on private projects I do it often from the couch so I know it's doable in theory.
I always have the option to switch to my desk so I guess it's fine.
But the goal is to find a good workflow to only work on one screen from time to time to be more flexible with where I work. For example: I never worked in a café and would like to try this one day.
Learn how to handle rows in R containing specific strings using base R's grep() and dplyr's filter() with str_detect(). Select or drop rows efficiently and enhance your data manipulation skills. Give it a try with your datasets for better data cleaning and organization.