Based on our record, Pandas should be more popular than Augur. It has been mentiond 198 times since March 2021. 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.
People have brought new markets such as virtual lands and more to the limelight. Some of them include Kirin's learn-to-earn project, in which you can answer quizzes and tests to earn crypto assets, Aavegotchi and YOLOrekt's bid to earn. They are distinct, but they both perform the same B2E function. In Aavegotchi, the Aavegotchi B2E auction modifies at least one of the four personality traits of an Aavegotchi:... Source: over 1 year ago
Yes “handicappers” come up with the odds/spread for sports and some off the wall stuff. “Prediction markets” is a big thing in crypto. And yes you can create your own “outcome” for an event that people can bet on. If you wanna check out the most popular prediction market and see all the crazy things people are betting on here’s Augur https://augur.net/. Source: almost 2 years ago
It's not exactly new? There were several general betting market in crypto, but they never got much popularity. https://augur.net/ https://polymarket.com/. - Source: Hacker News / almost 2 years ago
Example of web 3 platforms are Steemit, Diaspora, Augur, Opensea, Everledger among many others while examples of Web 2 platforms are Facebook, Twitter, Binance, Upwork. - Source: dev.to / about 2 years ago
Https://augur.net (bets on real world events). Source: over 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 / 13 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 / 7 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
TellApart - TellApart helps companies turn individual customer preferences into sales by predicting which items customers are most interested in
NumPy - NumPy is the fundamental package for scientific computing with Python
TradeX - TradeX is an exchange to bet on the predicted outcome of an upcoming event, like the number of covid cases, inflation rate, or the next president.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Predicto - Make predictions on the Blockchain
OpenCV - OpenCV is the world's biggest computer vision library