Based on our record, Pandas seems to be a lot more popular than SpeedCrunch. While we know about 198 links to Pandas, we've tracked only 6 mentions of SpeedCrunch. 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.
As well as of https://speedcrunch.org/. Source: about 2 years ago
I would love to see Speedcrunch to become KDE's first choice as a calculator app:. Source: over 2 years ago
Hello, if you are looking for a good scientific calculator you could give a chance to speedcrunch. Source: over 2 years ago
SpeedCrunch - The best and only calculator you'll need, completely stripped down of unnecessary UI clutter. - Source: dev.to / about 3 years ago
I personally really like using speedcrunch[1] as a desktop calculator, and it’s cross platform. It’s not doing pretty print though. Otherwise it’s wolfram alpha[2], but that needs internet. I never type calculations in any search engines, but that’s way too slow compared to speedcrunch. Maybe I feel similarly to chalk using a web view compared to how electron apps are seen by some. Displaying inaccuracies is neat!... - Source: Hacker News / about 3 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 / 12 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 / 6 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
Qalculate! - Qalculate! is a multiplatform multi-purpose desktop calculator.
NumPy - NumPy is the fundamental package for scientific computing with Python
Numi App - Numi is a beautiful text calculator for Mac.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Soulver - Soulver is a software application that functions as a calculator that allows you type a continuous stream of information rather than having to input data into multiple cells.
OpenCV - OpenCV is the world's biggest computer vision library