You can also specify your whitespace and wrapping preferences, change font settings, the tab size, adjust the scroll speed, etc. In the 'Settings View', you can change the theme - the way Atom looks, you can choose a color scheme that makes the code easier for you to read at a glance. Linux: Edit > Preferences menu item in the menu bar > Search for settings-view:open in the Command Palette Windows: File > Settings menu item in the menu bar > Search for settings-view:open in the Command Palette MacOS: Atom > Preferences menu item in the menu bar > Search for settings-view: openin the Command Palette You can go to the 'Settings View', that gives you a number of settings and preferences you can modify. This is the welcome page and gives you a good starting point on how to get started with the editor. When you launch Atom for the first time, you will get this screen: Source: Atom Basics Once you have Atom installed on your system, let's get busy. The download button should be specific to your platform, and the download package should be easily installable. At the top of the page you should see a download button as shown here: To get started with Atom and get in on your system, head over to their official website. However, in this tutorial, we shall focus more on Atom for Python. And these two languages are not the only supported languages, Atom's default packages can apply syntax highlighting for the following programming languages and file formats: C, C++, C#, COBOL, CSS, CoffeeScript, Go, HTML, Java, JavaScript, JSON, Perl, PHP, Ruby, Scala, SQL and many others as well ( Atom). It is as welcoming to a newbie as it is for an experienced developer.īut what makes Atom so great for data science is that it allows you to work with R and Python in a consistent manner. Atom enables users to install third-party packages and themes to customize the features and looks of the editor, so you can set it up according to your preferences and with ease ( Atom). Its developers call it a "hackable text editor for the 21st Century" ( Atom 1.0). What and why Atom?Ītom is a free and open-source text and source code editor developed by GitHub ( Atom – A Hackable Text and Source Code Editor for Linux). So if you want to be productive, IDEs and code editors are the way to go! They can handle code graciously - providing code auto-completion, syntax highlighting, resource management, debugging tools, etc. They are coding tools that allow you to write, test, and also debug your code in an easier way. Using an IDE or a good code editor can make coding easier and fun. However, doing this for large programming projects can be pretty frustrating - especially if you aren't used to the command line interpreter applications. Why do you need an IDE or a code editor? You can always push commands on a terminal and execute your programs, whether R or Python. You shall see why Atom is cool and the IDE right for you. In this tutorial, you shall learn about Atom - a free and open-source text and source code editor for macOS, Linux, and Microsoft Windows. So then what? What IDE or code editor should you use? However, Jupyter Notebook is not the best option for deploying real-world projects. The tutorial also introduces you to Jupyter Notebook that lets you create and share documents which contain live code, equations, visualizations as well as text and can be used with both Python and R. The tutorial guides you through RStudio, an integrated development environment (IDE) which is excellent for working with R. Once you've got the environment set, you can start coding. DataCamp has you covered: check out the Setup Data Science Environment tutorial that walks you through the steps to do just this. But wait, code where?įirst thing first, you will need to download and setup R and Python on your machine. Getting started with data science? Can't decide what language is best for you: R, Python or both? Well, the best solution is to jump right into it and get your hands dirty with code.
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