My current machine is slow enough to make me crazy. But, I’m not using it anymore. At least with my current Windows machine.
So you can use whatever you want with the help of Anaconda Navigator, which is a GUI (graphical user interface) that makes things easy.Įverything is there for you, and you can install extra libraries and tools with a single click.
Then, if you type ‘ python ‘ in your terminal or command prompt, it will show the details of Python installed in your machine, and you will see ‘ Anaconda’ somewhere there.Īnaconda has all the tools and python libraries inside its stomach. That will make Anaconda your default Python. Note that while installing Anaconda, it will ask whether you want to “Add to path” or not. If you have a good high-speed machine with enough space, you can click here and download the Anaconda software and install it on your machine. The best software available for doing machine learning with Python is Anaconda. After that, you need to download one more software, either anaconda or miniconda. You can click here and download Python and install it on your machine. Nevertheless, I think you can use the same setup in those types of machines as well.įirst of all, you need to install Python. If you are using Linux or Mac, I honestly don’t know how effective this tutorial will be for you. So as of now, I can only tell you the environment setup for the Windows machine. In this article, I will try to talk to you through the setup that I use to code in Python for machine learning purposes. The installation instructions below assume that you have already set up bash on macOS or Linux systems or, if you are on a Windows machine, installed the Windows Subsystem for Linux (WSL).Let’s see how we can easily set up the best environment for implementing machine learning with minimum space and not losing efficiency. Instead, an environment manager enables you to configure independent environments, i.e. a set of programs (each also with a defined version) in which one tool or combination of tools works. It is often difficult to have one universal install in which all of your tools will work predictably at the same time. Unfortunately, some programs might, at the same time, conflict with other programs or only work with specific version numbers.
One of the difficulties when working with software tools is that these often have dependencies, i.e. need other programs to properly function (which might themselves need other programs and so on). These apps are downloaded as so-called packages.Ĭonda acts as an environment manager. Conda itself fulfills two functions:Ĭonda is a package manager, i.e. think of it as an App Store where you can get apps for your command-line interface (CLI). Miniconda is a minimal installer for Conda, Python, their dependencies and a small collection of packages.
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