• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar

Python and R Tips

Learn Data Science with Python and R

  • Home
  • Python
  • Pandas
    • Pandas 101
  • tidyverse
    • tidyverse 101
  • R
  • Linux
  • Conferences
  • Python Books
  • About
    • Privacy Policy
You are here: Home / Basic Linux Commands / linux command type / How to Find Where Linux/Mac OS X Commands Are Physically Located?

How to Find Where Linux/Mac OS X Commands Are Physically Located?

April 25, 2012 by cmdlinetips



If you are a beginner it is a good thing to learn about the director/file structures of Linux/Mac OS. It is even better to start learning where the actually commands are located in your machine. You may roughly know that the commands are in some “bin” directory, but not the exact location.

The command “type” can help you to find the exact location of all your favorite commands. Here are a few examples.

>type ls
ls is /bin/ls

The command ls is located at /bin/ls.

To know where whoami is located

type whoami
whoami is /usr/bin/whoami

The command “type” is really versatile. it can find almost anything that you use on the terminal. If you want to know where python is located

>type python
python is /Library/Frameworks/Python.framework/Versions/2.7/bin/python

To fins where “latex” is located

type latex
latex is /usr/texbin/latex

Isn’t that cool?

Share this:

  • Click to share on Facebook (Opens in new window) Facebook
  • Click to share on X (Opens in new window) X

Related posts:

Default ThumbnailTwo Most Useful Commands, If You Live On The Linux/MacOS Terminal Default ThumbnailBasic Linux/Mac OS X Commands that Help You to Get Started Default ThumbnailTen Linux Commands on “tar” and “gzip” You Need to Know Default ThumbnailGreat Web Tool to Learn Linux Commands

Filed Under: linux command type, Linux Tips Tagged With: Find Command Location, Linux Command type

Primary Sidebar

Subscribe to Python and R Tips and Learn Data Science

Learn Pandas in Python and Tidyverse in R

Tags

Altair Basic NumPy Book Review Data Science Data Science Books Data Science Resources Data Science Roundup Data Visualization Dimensionality Reduction Dropbox Dropbox Free Space Dropbox Tips Emacs Emacs Tips ggplot2 Linux Commands Linux Tips Mac Os X Tips Maximum Likelihood Estimation in R MLE in R NumPy Pandas Pandas 101 Pandas Dataframe Pandas Data Frame pandas groupby() Pandas select columns Pandas select_dtypes Python Python 3 Python Boxplot Python Tips R rstats R Tips Seaborn Seaborn Boxplot Seaborn Catplot Shell Scripting Sparse Matrix in Python tidy evaluation tidyverse tidyverse 101 Vim Vim Tips

RSS RSS

  • How to convert row names to a column in Pandas
  • How to resize an image with PyTorch
  • Fashion-MNIST data from PyTorch
  • Pandas case_when() with multiple examples
  • An Introduction to Statistical Learning: with Applications in Python Is Here
  • 10 Tips to customize ggplot2 title text
  • 8 Plot types with Matplotlib in Python
  • PCA on S&P 500 Stock Return Data
  • Linear Regression with Matrix Decomposition Methods
  • Numpy’s random choice() function

Copyright © 2025 · Lifestyle Pro on Genesis Framework · WordPress · Log in

Go to mobile version