![]() ![]() As a result, you don't need to worry about the installation.Ĭheck your Python version by typing the Python -version command in terminal. ![]() Most probably, Linux distributions have already installed Python. We will see the installation guide for both Linux and Windows. Therefore, let's see how to install it on your PC. We need to install Python to start coding in it. Additionally, we will cover the following sections in this tutorial. Therefore, let's install Python on your PC. Now, it's your turn to feel that excitement. Why not? I had the same feeling when I was about to start it. Anaconda Python already ships with IDLE, and here's how to create a shortcut.Eager to get started with the Python. One thing: in LING 1330/2330, we will be focusing on interpretive shell interface via IDLE rather than Jupyter Notebook you probably have been using. That works too! Make sure to update it to the latest 3.X version. That way, you can make sure you are working in the exactly same setup with the rest of the class, which just might save you some headache stemming from a configuration unique to your machine. If you previously installed an earlier version of Python 3 (say, 3.6.1 or something), then you should either update it or simply un-install it and then install the newest version of Python 3. Already have Python 3 but older version.If you already have a working version of Python on your laptop, you might be wondering if it is OK to keep it or you should re-install. Don't forget to take care of some IMPORTANT configuration issues.Go ahead and try it out! Video tutorial here.If everything goes fine, you should see an IDLE shortcut in your START menu.Double-click the downloaded file and proceed with installation.Alternatively, if you start from the release page such as, you should scroll all the way to the bottom and choose "Windows installer (64-bit)".This downloads the 64-bit version of the latest Python release (3.9.6 as of August 2021). ![]() Click "Downloads", then download the latest version from there: ![]()
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