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Based on our record, Pandas seems to be a lot more popular than R Lang. While we know about 198 links to Pandas, we've tracked only 5 mentions of R Lang. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / 27 days ago
This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: over 1 year ago
Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / almost 2 years ago
We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / almost 2 years ago
Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: almost 2 years ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 16 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 9 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
NumPy - NumPy is the fundamental package for scientific computing with Python
Perl - Highly capable, feature-rich programming language with over 26 years of development
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
D (Programming Language) - D is a language with C-like syntax and static typing.
OpenCV - OpenCV is the world's biggest computer vision library