Computation on Windows Arm64 Computers

Microsoft and other manufacturers had been releasing more arm64-based laptops and tablets. However, it is still quite inconvenient to set those computers for scientific computation in Python, R, etc. Overall, it is not recommended to use an arm64 Windows computer for data science works. Here are a few possible solutions. General Solution In general, we can use it as a Linux computer with WSL2. However, not all computational platforms/environments are available on Linux systems like Ubuntu. [Read More]

Computational Environment on Mac OS

Set up Python on Mac OS Mamba forge package The best solution so far is to use MiniForge release. The Mamba Forge combination is the most efficient one. Download and run the Shell (.sh) installation file in Mac terminal. Use mamba init zsh to initialize Python for the terminal. zsh is the default shell for Mac OS. If a different shell is used, just change the parameter in mamba init. [Read More]

node.js management

Managing node.js Today most JavaScript libraries are developed, tested, and deployed or distributed via node.js framework. Many libraries stopped providing the regular js file for web developments. Instead, they are using modules, similar to Python. For legacy systems, a separate JS file is still needed and it is necessary to use node.js and npm to get the js file. This might be the only way to get the lasted version for some JS libraries. [Read More]