Jupyter is an IPython notebook that allows you to combine code, text and visualizations in one document while PyCharm is a featureful IDE for Python ...
Both PyCharm and Jupyter have their own set of advantages. In short, Jupyter is the more suitable option when you have quick data processing and visualization tasks at hand. In other words, Jupyter can be great as a rapid prototyping and visualization tool. On the other hand, PyCharm is more suited for complex data processing.
The Jupyter notebook works linearly and allows you to pass around scripts or analytic workflows to your coworkers but a full-fledged IDE like Pycharm gives ...
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive ...
15.07.2020 · The Jupyter notebook can support various languages that are popular in data science such as Python, Julia, Scala, R, etc. Pycharm is an IDE developed …
Both PyCharm and Jupyter have their advantages in data science. Jupyter is more suitable as a prototyping tool for prototyping models and doing a quick ...
09.07.2019 · Jupyter can be classified as a tool in the "Data Science Notebooks" category, while PyCharm is grouped under "Integrated Development Environment". "In-line code execution using blocks" is the top reason why over 3 developers like Jupyter, while over 93 developers mention "Smart auto-completion" as the leading cause for choosing PyCharm.