Based on our record, Jupyter seems to be a lot more popular than bpython. While we know about 205 links to Jupyter, we've tracked only 7 mentions of bpython. 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.
Yeah, also it's worth to mention bpython. Source: almost 2 years ago
Yeah, mostly I lack time to catch up with Jonathan Slenders works, and have stronger backward compatibility requirements. b=But ptpython and pyipython are both great. I should also look into Rich and Textual https://bpython-interpreter.org/ is also another alternative python shell, and of course https://xon.sh. - Source: Hacker News / over 2 years ago
Python comes with IDLE as /usr/bin/idle but it doesn't have a corresponding .desktop file that would let it appear in the application menu. Otherwise, /usr/bin/python has an interactive mode and bpython is a wrapper around that interactive mode that has like syntax highlighting, indenting, undo, etc. Source: over 2 years ago
Someone posted bpython which I'm pretty ecstatic about but always good to know options. Source: almost 3 years ago
Someone else posted this - bpython - which is what I was looking for. Source: almost 3 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 8 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 18 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 / 13 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 / 2 months ago
iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.
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.
IDLE - Default IDE which come installed with the Python programming language.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
ptpython - a better Python REPL
Google BigQuery - A fully managed data warehouse for large-scale data analytics.