SDKMan VS pyenv

Alternatively, you can use sdkman. A great tool to install your Software Development Kit. The downside is that it only works on *nix systems. So for Widnows users, you will have to use WSL or Cygwin as the official page suggests. It is really simple to use sdkman. after a successful installation, just type those commands into your *nix shell:

To run the example, you must install the Auth0 CLI and create an Auth0 account. If you don't have an Auth0 account, sign up for free. I recommend using SDKMAN! to install Java 17+ and HTTPie for making HTTP requests.

Another option for installing Java is SDKMAN!, a versatile tool that’s easy to install and helps you manage multiple versions of Java.

Java 17

Java 17 or higher. You can use SDKMAN! to install Java if you don't have it already.

Ktor, a powerful web framework built with Kotlin, offers a lightweight and flexible solution for building web applications. In this article, we will guide you through the process of creating a Ktor project manually using Gradle and SDKMAN!. By following the steps below, you'll have a basic Ktor project up and running in no time.

If you have any tips/advice then I'm all ears. I've already modified the dnf.conf with fastmirror and max_parallel_downloads I'm currently not using sdkman because this is my personal machine, so I don't mind always using the latest version OpenJDK. If I ever do need to switch between versions then I'll switch over to sdkman instead.

For handling your JDK: I highly recommend purging your system of all JDKs/JRMs - get rid of it all - and download SDK (if you're using Windows, you'll need to do this through WSL). This tool manages software development kits very well; switching between JDKs is super straightforward: sdk use .

I use sdkman to install java related stuff. Check it out. No root needed.

For more information visit: pyenv repository

Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.

Python version manager pyenv

First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.

Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.

When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.