
Android Studio
Xcode
Microsoft Visual Studio
IntelliJ IDEA
VS Code
Sublime Text
PyCharm
Netbeans
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Android StudioAndroid Studio is recommended for anyone developing Android applications, including individual developers, development teams, students, and educators. It is also well-suited for those who want to leverage Google's developer tools and services in their Android projects.
Based on our record, Android Studio should be more popular than Deepnote. It has been mentiond 178 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.
They've always offered a bundle of the command line tools separately to Android Studio: https://developer.android.com/studio#:~:text=Command%20line%20tools%20only. - Source: Hacker News / 3 months ago
Android SDK + NDK โ the easiest way is to install Android Studio, which bundles both. Make sure NDK is installed (Android Studio > Settings > SDK Manager > SDK Tools > NDK). - Source: dev.to / 4 months ago
In order to run games we need a virtual machine, Android Studio both developed by Google, goes on hand in hand with Flutter. It provides the ability to create emulators for multiple devices in order to simulate how an application runs on its intended environment with the luxury of being able to edit and run your changes in real time. - Source: dev.to / 5 months ago
Following this Kotlin coroutine codelab, you'll find where to download Android Studio. You'll also find the related github for Kotlin coroutine. Then, by opening the coroutines-codelab folder through Android Studio, you might encounter the following Error. - Source: dev.to / about 5 years ago
IntelliJ IDEA or Android Studio (both are essentially the same). - Source: dev.to / 8 months ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Xcode - Xcode is Appleโs powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.