Master Vim VS Datapane

• Efficiency
  Vim allows users to perform text editing using keyboard shortcuts, which can significantly speed up the editing process once the shortcuts are mastered.
• Lightweight
  Vim is a highly efficient text editor that requires minimal system resources, making it suitable for use on older hardware and in low-resource environments.
• Customizability
  Vim offers extensive customization options through its scripting language and plugins, allowing users to tailor the editor to fit their specific needs.
• Versatility
  Vim can be used for a wide range of tasks beyond simple text editing, such as coding and prose writing, due to its powerful features and plugins.
• System Integration
  Vim is available on most Unix-based systems, including macOS and Linux, and can be accessed and used in terminal environments, which integrates well with command-line workflows.

Possible disadvantages

• Steep Learning Curve
  Vim's extensive set of commands and mode-based editing requires time and practice to master, which can be challenging for new users.
• Minimal User Interface
  Vim's interface is minimal and non-intuitive by modern standards, potentially making it difficult for users accustomed to graphical user interfaces.
• Limited New User Documentation
  While there is ample documentation available for Vim, the initial introduction for new users can be overwhelming, and they may find it difficult to locate beginner-friendly resources.
• Dependency on Keyboard
  Vim relies heavily on keyboard shortcuts, which can be difficult for users who prefer or need to use a mouse or other input methods.
• Customization Overhead
  While Vim is highly customizable, setting it up with the desired configuration and plugins can be time-consuming and may require ongoing maintenance.

• Easy Report Generation
  Datapane simplifies the process of creating and sharing interactive reports using Python, allowing users to convert Python scripts and Jupyter notebooks into dynamic reports easily.
• Integration with Python
  Datapane integrates seamlessly with Python, which is beneficial for data scientists and analysts who already utilize Python in their data pipelines and analyses.
• Interactive Elements
  Reports can include interactive elements such as plots, tables, and controls, providing a more engaging way to present complex data insights.
• Deployment Options
  Datapane offers multiple deployment options, including a cloud service for easy sharing and collaboration, as well as the ability to host on-premises or on private infrastructure.
• Privacy and Security
  Users concerned about data privacy and security can choose to deploy Datapane on their infrastructure, maintaining control over their data.

Possible disadvantages

• Learning Curve
  Users not familiar with Python or scripting may find it challenging to get started with Datapane, as it requires coding knowledge for report creation.
• Limited to Python
  Organizations not using Python heavily in their workflows may find Datapane less adaptable, as it primarily targets Python users.
• Cost Considerations
  Depending on the chosen deployment and scale, there might be cost implications, particularly for the cloud-hosted version of Datapane.
• Feature Limitations
  Some advanced customization or feature requirements might exceed the capabilities of Datapane, necessitating the use of additional tools or services.

MASTER VIM with this interactive course (vim.so review)

Datapane Quick Overview

• Hacking: Local File Inclusion

  But, just because you use Linux on your server and are good at the shell commands, does not mean your web app is secure. Sure you may know how to use vim, but neither that will stop a hacker. - Source: dev.to / almost 5 years ago

• Linux Tips For Beginners

  But, vim can be quite difficult to learn because the keybindings are unusual. You can use vimtutor or vim.is to learn quickly. - Source: dev.to / almost 5 years ago

• Vim like tools

  It is keyboard driven and has quite a hard learning curve (learn vim). Because it's been designed decades ago, some things makes less sense today. To give you an example, you can use both the keys h,j,k,l and the arrow keys to move the... - Source: dev.to / almost 5 years ago

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• How do you guys share R/Python based analyses to business stakeholders?

  PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution... Source: about 4 years ago

• how do i convince data scientists to actually use my power bi dashboards?

  If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: over 4 years ago

• Ask HN: Who is hiring? (April 2022)

  Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for... - Source: Hacker News / over 4 years ago

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