Main idea for Csq dev #44
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I have a preference for C++, but I find its code complexity to be a drawback. On the other hand, I really appreciate Python's simplicity, even though it's not the fastest language. Julia, while both fast and easy to use, is primarily focused on scientific computing, which makes its syntax seem a bit unconventional to me. I believe that for scientific computing tasks, Julia is an excellent choice. For scientific computing tasks, we could develop specialized modules and libraries that enhance Csq's capabilities. By doing so, we would aim to strike a balance between ease of use and performance, making Csq a versatile tool for a wide range of applications. |
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Then scientific computing shall be our Target field isn't it? |
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As we have developed many features in our language, To popular Csq we shall have a concrete field in which Csq excels like
You can propose any idea.
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