So many wonderful ⚡ Lightning Talks from this year’s Nextcloud Conference – now available!
New frameworks and languages, app updates, improved integrations, deployment tips or funding your own app development, there is something for everyone. #NextcloudConf#LightningTalk#opensourceCommunity
So many wonderful ⚡ Lightning Talks from this year’s Nextcloud Conference – now available to view to your heart’s content!
🤖 From new frameworks and bots,
👩🏽💻 why contributing to open source is amazing,
🚀 updates on many apps and integrations,
🕵️ many lessons learned, and much more!
So many wonderful ⚡Lightning Talks from this year’s Nextcloud Conference – now available to view to your heart’s content!
🤖 From new frameworks and bots,
👩🏽💻 why contributing to open source is amazing,
🚀 updates on many apps and integrations,
🕵️ many lessons learned, and much more!
Today we #celebrate the 30th birthday of #debian, one of the largest and most important cornerstones of the #OpenSourceCommunity. With its revolutionary package management system and unwavering commitment to free software, the many Debian developers have now shaped the Linux universe for over three decades. We at TUXEDO also ultimately build our TUXEDO OS on the foundation of Debian. For this we would like to thank you very much and wish you the best for the next 30 years!
📣 🔍 Unveiling the Magic of read.delim() in R - Your Ticket to Effortless Data Import!
👋 Greetings, fellow data enthusiasts! Today, I'm thrilled to take you on an exciting journey into the world of data analysis with R. Our spotlight shines on a remarkable function called read.delim().
✨ What is unlist()?
The unlist() function in R is like a magician that takes complex nested lists or vectors and transforms them into a simple atomic vector. It's a game-changer when dealing with intricate data structures, allowing you to flatten them with ease.
As data-driven professionals, understanding the "cumulative mean" can revolutionize our statistical analysis. 📈 This insightful measure unveils the evolving average value of a dataset over time, making it perfect for time-series analysis, trend spotting, and smoothing noisy data.
Let's unlock the true potential of your data together! Read the blog post, try the cov() function, and let's embark on an exciting journey of discovery. 💡
file_path <- "data.csv"
if (file.exists(file_path)) {
print("The file exists!")
} else {
print("The file does not exist.")
}
In this example, we check if the file named "data.csv" exists. Depending on the outcome, it will print either "The file exists!" or "The file does not exist."
Are you an R programmer looking for a powerful tool to compare objects for exact equality? Look no further! Say hello to the incredible identical() function in R. 🤝🔍
In my latest blog post, I dive into the world of identical() and uncover its syntax and superpowers in a simple and engaging way. The function allows you to determine if two objects are exactly identical.
🔬📊 Mastering Data Grouping with R's ave() Function 📊🔬
Are you tired of manually calculating statistics for different groups in your data analysis projects? Look no further! R's ave() function is here to revolutionize your data grouping experience. 🚀
If you're a newcomer to open source, FOSSY is going to be a great first conference to attend.
FOSSY talk tracks include open source gaming, containers, ARM, open source communities, DEI in open source, and universities and educators using open source. Lots of things for everyone:
Do you want to take a random sample of your data in R?
Here are some examples of how you can use sample():
✔ Generate a random permutation of the elements of a vector.
✔ Select a random subset of a dataset.
✔ Generate a random sample of data for testing purposes.
✔ Create a bootstrap sample.
Standing on the shoulder of giants such as Jeffrey Osier-Mixon and Nicholas Dechesne, I am proud to be chosen as the new Community Manager for @yoctoproject Thank you everybody for your support and trust!