Smaply is a cloud-based customer experience platform that allows businesses to create personas, journey maps and stakeholder maps and share them with team members. Professionals can utilize the drag-and-drop functionality to add images, texts or video files in journey maps and export them in various formats including PDF, PowerPoint, Excel and PNG.
Using Smaply's collaborative platform, enterprises can grant-role based access to specific employees, invite user comments on maps and share live links with several recipients. It enables managers to create individual personas for clients by uploading images and adding important highlights relevant to the customer's journey. Additionally, it comes with an administrative dashboard, which helps users view ongoing projects and retrieve the details of specific stakeholders via search functionality.
Pricing is available on monthly and annual subscriptions. Support is extended via phone, email and other online measures.
Based on our record, Jupyter seems to be more popular. It has been mentiond 205 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.
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 / 12 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 23 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 / 18 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 / 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
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