CodeRunner
Atom
Visual Studio Code
Sublime Text
SlickEdit
BBEdit
Light Table
Vim
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
CodeRunnerBased on our record, Jupyter seems to be a lot more popular than CodeRunner. While we know about 204 links to Jupyter, we've tracked only 4 mentions of CodeRunner. 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.
Https://coderunnerapp.com is a good lightweight alternative if you want to try out snippets of Swift code. Source: over 2 years ago
BTW, if you're just start learning C++, get CodeRunner. Xcode is for project development, not a good learning tool. Source: over 2 years ago
I'm going to presage this by saying that if what you want from an IDE is that you can open a tab, tap in some C++, add some breakpoints if necessary and hit run, and if you're willing to spend $20, then I highly recommend CodeRunner. You can also set it up to invoke whatever you want to invoke for building, allowing you to use it as a full project-management IDE, but I usually don't bother with that. But it's... Source: almost 3 years ago
Mine is simple, probably wont win but I made this my username cause I like code, conuidentley coderunner is a program editor for macOS. Source: about 3 years ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 11 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 6 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / about 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / about 2 months ago
They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 2 months ago
Atom - At GitHub, we’re building the text editor we’ve always wanted: hackable to the core, but approachable on the first day without ever touching a config file. We can’t wait to see what you build with it.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
