Based on our record, NumPy seems to be a lot more popular than UserVoice. While we know about 112 links to NumPy, we've tracked only 8 mentions of UserVoice. 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.
I have sent them some user stories, complete with storyboard images. I am not a beta participant though. I suggested that it would be helpful if they rolled out something like UserVoice's Feedback Manager, so there is transparency to what's in the request queue and where we users can formally vote on the value of a given feature suggestion. Source: over 1 year ago
- Collecting customer's feature requests: This is a tough one, I am using https://uservoice.com/ but I don't like it that much. I am searching for a self-hosted alternative to https://canny.io/. - Source: Hacker News / over 2 years ago
I think that RM should consider a solution such as UserVoice which will let the user community vote on what critical bug fixes or new features we feel are most important. Not only can a user upvote a feature request or critical fix, but they can also add comments to help substantiate their vote. Source: over 2 years ago
Six months later, UserVoice wanted to sign in with Courier and mentioned we lacked some functionalities they wanted. Specifically, they wanted to put two blocks next to each other in the notification designer. So, the sales and product team reached out to me, and I went, “Oh yeah, I hacked that together; it was cool but with a few bugs.”. - Source: dev.to / over 2 years ago
Would having a proper Customer Feedback platform using something like Canny or UserVoice be useful? Source: almost 3 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 23 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 28 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 30 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.
OpenCV - OpenCV is the world's biggest computer vision library
UseResponse - Open-source, self-hosted customer feedback software, live chat and helpdesk system that you can install on your server. Organize documentation using knowledge base and get feedback from social networks with centralized system
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.