iPad Pro VS Python Poetry

• Performance
  The iPad Pro is powered by the M2 chip, which offers outstanding performance for both everyday tasks and demanding applications.
• Display
  The Liquid Retina XDR display on the 12.9-inch model offers incredible brightness and contrast, making it ideal for creative work and media consumption.
• Apple Pencil Compatibility
  Supports the second-generation Apple Pencil, which offers low latency and high precision for drawing, note-taking, and other tasks.
• Design
  The iPad Pro features a sleek and lightweight design, making it highly portable while retaining a premium build quality.
• Storage Options
  Offers a range of storage options from 128GB to 2TB, catering to different user needs.
• 5G Connectivity
  The latest models offer 5G connectivity, providing faster internet speeds for both working remotely and consuming media.
• Accessory Ecosystem
  Compatible with a wide range of accessories including the Magic Keyboard, offering a laptop-like experience with a built-in trackpad.

Possible disadvantages

• Price
  The iPad Pro is one of the most expensive tablets on the market, especially when adding accessories like the Apple Pencil and Magic Keyboard.
• No Traditional Laptop Software
  Even with its high performance, the iPad Pro runs iPadOS, which means it doesn’t have access to some traditional desktop applications available on macOS.
• Port Limitation
  Only features a USB-C port (or Thunderbolt on newer models), which may require adapters or hubs for connectivity with multiple devices.
• Limited Multitasking
  iPadOS has improved its multitasking capabilities, but it's still not as robust as a full desktop operating system, potentially limiting productivity for some users.
• Battery Life
  While the battery life is decent, heavy usage, especially with demanding applications or 5G, can drain the battery quickly.

• Dependency Management
  Python Poetry provides a robust system for managing project dependencies, making it easy to specify, install, and update packages.
• Simplified Configuration
  It uses a clear and concise `pyproject.toml` file for configuration, which simplifies the setup process compared to other tools.
• Environment Isolation
  Automatically manages virtual environments, ensuring that dependencies are isolated and do not interfere with each other.
• Consistent Builds
  Poetry can lock dependencies to exact versions, ensuring consistent and repeatable builds across different environments.
• Publishing Tools
  Includes built-in tools for publishing packages to PyPI, making the distribution process straightforward and streamlined.

Possible disadvantages

• Learning Curve
  Requires users to learn new commands and techniques, which can be a barrier for those familiar with other tools like pip and virtualenv.
• Performance
  Dependency resolution and installation processes can sometimes be slower compared to tools like pip, especially for large projects.
• Compatibility
  May have compatibility issues with certain packages or tools that expect a different environment or dependency management system.
• Community Support
  While growing, the community and ecosystem around Poetry are not as large or mature as those around more established tools.
• Limited IDE Integration
  Integration with some Integrated Development Environments (IDEs) might not be as seamless as for more widely used tools, potentially impacting productivity.

No analysis of iPad Pro yet.

2020 iPad Pro Review: It's... A Computer?!

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My Poetry is BAD

Tracking iPad Pro since Mar 2021.

• The lazy developer's code quality

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• Build, Manage, and Ship Python Projects the Easy Way using Poetry

  Poetry solves this problem by giving you one clean workflow for managing Python projects from start to finish. - Source: dev.to / 11 months ago

• How I stopped worrying and loved Makefiles

  I love Python for it's simplicity... At least when it comes to coding, because when you start managing dependencies, it's getting tricky. What do you use: raw dependencies.txt or rather Poetry or Pipenv? Do you use system Python or maybe... - Source: dev.to / about 1 year ago

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