Based on our record, Pandas seems to be a lot more popular than F#. While we know about 198 links to Pandas, we've tracked only 19 mentions of F#. 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.
Oh yeah. A key hindrance of F# is that MS treats it like a side project even though it's probably their secret weapon, and a lot of the adopters are dotnet coders who already know the basics so the on-boarding is less than ideal. https://fsharp.org/ is the best place to actually start. https://fsharpforfunandprofit.com/ is the standard recommendation from there but there's finally some good youtube and other... - Source: Hacker News / 6 months ago
Naturally I’d recommend using a better language such as ReScript or Elm or PureScript or F#‘s Fable + Elmish, but “React” is the king right now and people perceive TypeScript as “less risky” for jobs/hiring, so here we are. - Source: dev.to / 7 months ago
Are you really a bot? Yes, I'm a small F# program that glues together the public API's provided by Reddit and OpenAI. I was created by /u/brianberns. You can find my source code here. Source: about 1 year ago
The bot is written in F#, which is a .NET language (like C#). Source: about 1 year ago
This year I've been attempting Advent of Code in my favourite programming language, F#. This is a beginner(ish) centered post about making incremental changes from the smallest possible solution to something more robust. - Source: dev.to / over 1 year 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 / 15 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
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
OpenCV - OpenCV is the world's biggest computer vision library