NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
CodeTogether
CodeShare.io
Visual Studio Live Share
Teletype for Atom
Dabblet
Codeply
Liveweave
Floobits
CodeTogether is the perfect blend of functionality and simplicity, designed by a team of remote developers that rely on collaborative development. Whether you are on an Agile team that uses pair programming as part of your regular software development flow or you just like to live share your code in the occasional troubleshooting session, CodeTogether is the best tool for pair programming, mob programming, code review, and more! If you’ve been using screen sharing or an online code editor for collaborative coding, you’ll be amazed at the difference! Seeing is believing—watch our linked videos to see CodeTogether in action.
CodeTogetherBased on our record, NumPy seems to be a lot more popular than CodeTogether. While we know about 122 links to NumPy, we've tracked only 4 mentions of CodeTogether. 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.
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 11 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 12 months ago
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward. - Source: dev.to / about 1 year ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
Looking for collaboration and advanced features? Most decent ones cost money ... Start with replit.com, also look at codeanywhere.com, and also codetogether.com (requires download, free+paid plans). Source: over 4 years ago
Are you using the right tools? Screen sharing isn't great for longer sessions, and you need a code focused tool like Live Share, or one we make - CodeTogether, especially if you need to work across IDEs. Source: over 5 years ago
Just addressing the pair programming aspect of this - if you were doing this remotely, you could use something like codetogether.com Each of you would have your own machines and screens, but be looking at the same piece of code (if you want) or investigate / code in different areas of the project too. Source: over 5 years ago
If any of you are looking for a pair/mob programming solution that works across IDEs, do try codetogether.com. Host in IntelliJ, join from VS Code or Eclipse if you want. We just added the support for writeable shared terminals. Video covering all the features is here: https://youtu.be/OgCWc3hTBc0. Source: over 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CodeShare.io - Realtime code sharing for developers
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Visual Studio Live Share - Real-time collaborative development
OpenCV - OpenCV is the world's biggest computer vision library
Teletype for Atom - Collaborate in real time in Atom