Based on our record, Pandas seems to be a lot more popular than Bubbles. While we know about 197 links to Pandas, we've tracked only 1 mention of Bubbles. 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.
Bubbles | Remote (US timezones) | Senior Full-stack Engineer | Full-time | https://usebubbles.com Bubbles is enabling the world to work asynchronously by building the next generation communication platform. Rather than being stuck in Zoom all day and having to work around other people's schedules, Bubbles enables you to work on your own time and at your own pace while still having the context you need to discuss... - Source: Hacker News / over 2 years 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 / 1 day 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 / about 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 / 4 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
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
Loom - Loom is a screen recording extension for Chrome that gives people the ability to create and share media. Create your own videos using your camera, screen view, and audio. Read more about Loom.
NumPy - NumPy is the fundamental package for scientific computing with Python
recordit.co - Make a short video capture of your desktop as a gif.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
RecordScreen.io - Record screen right from browser. No installation required.
OpenCV - OpenCV is the world's biggest computer vision library