Your employer decides to invest in data analytics. The command line is well suited for this purpose because commands are easily automated and replicated. Most of the time this data is acquired, processed and displayed in the same way. Part of a data scientist’s role is to make sure certain information is available regularly, often daily. Command Line Skills Help With Building Repeatable Data Processes
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This is also supported by the most recent Python Developers Survey conducted by Python Software Foundation. It also ranked high on the most-loved technologies list (53.7%), and lower on the most-dreaded technologies list (46%).Īnd while StackOverflow’s survey covers software developers and engineers of all sorts, the command line is of particular relevance for data scientists because Bash/Shell correlates heavily with Data Science technologies like Python, IPython/Jupyter, TensorFlow and PyTorch. It was also associated with higher salaries than either Python or R, according to the survey. the family of Linux command language interpreters) is the sixth most used language overall, ranking ahead of Python and R. Bash Skills Are Popular, and Pay HandsomelyĪccording to 2020’s Stack Overflow’s Developer Survey, bash/shell (i.e. Here are a few reasons why you should be learning bash and using the command line: 1. And while Dataquest makes learning the command line very straightforward, you might be wondering: why should I bother? Making the switch from graphical user interfaces (GUIs) to a command-line interface can feel overwhelming. It’s a command language that allows us to work with files on our computers in a way that’s far more efficient and powerful than using a GUI (graphical user interface). You’ll also see it called the terminal, the command line, or the shell. In short, Bash is the Unix command-line interface (CLI). But it’s not just a skill for software devs - learning bash can be valuable for anyone who works with data. Command Line)īash - the command-line language for Unix-based operating systems - allows you to control your computer like a developer.
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