pathogen.vim VS Julia

• Ease of Use
  Pathogen.vim simplifies the management of Vim plugins by allowing users to easily install, update, and remove plugins without altering Vim's core files. It requires minimal configuration.
• Directory Structure
  It promotes a cleaner directory structure where each plugin resides in its own directory under .vim/bundle, making it easier to locate and manage individual plugins.
• Compatibility
  Being widely adopted and time-tested, pathogen.vim is compatible with a wide range of plugins. This ensures that users can confidently use popular Vim plugins alongside it.
• No Impact on Startup Time
  Pathogen.vim is lightweight, which means it doesn't significantly affect Vim's startup time, preserving Vim's reputation for speed and efficiency.

Possible disadvantages

• Limited Features
  Compared to modern plugin managers like vim-plug or Vundle, pathogen.vim offers limited features, lacking built-in update mechanisms for plugins or other advanced functionalities.
• Manual Management of Dependencies
  Pathogen.vim requires users to manually manage plugin dependencies and updates, which can become cumbersome when dealing with a large number of plugins.
• Exclusivity of Git for Installation
  Pathogen.vim relies heavily on Git for plugin installation, which might be a limitation for users who prefer or require alternative installation methods.

• High Performance
  Julia uses Just-In-Time (JIT) compilation which allows it to run at speeds close to those of statically compiled languages like C and Fortran.
• Ease of Use
  Julia’s syntax is simple and intuitive, similar to that of Python, making it accessible for newcomers and convenient for rapid development.
• Strong Support for Mathematical Computing
  Designed with numerical and scientific computing in mind, Julia includes powerful mathematical functions and supports arbitrary precision arithmetic.
• Multiple Dispatch
  Julia's multiple dispatch feature allows functions to be defined across many combinations of argument types which can lead to more flexible and extensible code.
• Rich Ecosystem
  Julia has a growing ecosystem of libraries and tools, supported by an active community, catering to a wide range of applications including data science, machine learning, and more.
• Interoperability
  Julia can easily call C and Fortran libraries directly without the need for wrappers, and it can also interact with Python, R, and MATLAB code.
• First-Class Support for Parallelism
  Julia natively supports parallel and distributed computing, enabling efficient handling of large-scale computations.

Possible disadvantages

• Immature Ecosystem
  Despite rapid growth, Julia's ecosystem is still not as mature or extensive as those of older, more established languages like Python or R.
• Long Compilation Time
  The JIT compilation can lead to longer initial startup times for scripts, which might be a drawback for users accustomed to instantaneous execution.
• Breaking Changes
  The language is still evolving, and updates sometimes include breaking changes that can disrupt existing codebases.
• Limited Learning Resources
  Compared to other popular languages, there are fewer tutorials, books, and community resources for learning Julia.
• Smaller Community
  While growing, the Julia community is smaller compared to well-established languages, which might limit the availability of peer support and community-driven development.
• Package Management Issues
  Users sometimes experience difficulties with package management and dependency issues, especially when using older packages or packages with many dependencies.
• Less Enterprise Adoption
  Julia has not been widely adopted in the enterprise sector, which can affect its perceived stability and support for mission-critical applications.

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• Any Suggestions Apart from vscode for Terraform ?

  The person who mentored me the most when I was getting started with Terraform used VIM with pathogen but honestly this isn't a great idea unless you're really invested in a VIM workflow. Source: over 3 years ago

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  I am a bit confused. What has this anything to do with your original question? vim-pathogen is for Vim editor itself, not for PyCharm. I don't know much about MacOS, so not sure how to help. Did you try the installation steps at... Source: almost 4 years ago

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