Mastering Terminal Commands and Jupyter Notebook Shortcuts: Your Complete Handbook

mastering-terminal-commands-and-jupyter-notebook-shortcuts:-your-complete-handbook

Most developers, relies on graphical user interfaces (GUIs) for their computing needs. GUIs offer a user-friendly way to interact with machines.
However, it’s worth noting that there exists a highly capable alternative: the command-line interface (CLI). By issuing text-based commands, a CLI empowers users with greater control and flexibility over their computers, providing a powerful means of interaction.

In this article, we will delve into the world of common terminal commands that can significantly enhance your efficiency and productivity, whether you’re an engineer or a data scientist. These commands are key to unlocking the full potential of your computer.

Common Terminal Commands:

1. Navigating the File System:

  • ls: List files and directories in the current directory.
ls 
  • cd : Change directory.
cd Documents
  • pwd: Print the current working directory.
pwd
  • mkdir : Create a new directory.
mkdir mynewapp
  • rm : Remove a file or directory.
rm file.txt
  • cp : Copy files or directories.
cp file.txt /backup/

  • mv : Move or rename files or directories.
mv file.txt newfile.txt

2). Managing Files:

  • touch : Create a new empty file.
touch newfile.txt

cat : Display the contents of a file.

cat file.txt
  • nano or vim : Open a text editor to edit a file.
nano file.txt
  • head : Display the first few lines of a file.
head file.txt 
  • tail : Display the last few lines of a file.
tail file.txt

3). Searching and Finding:

  • grep : Search for a pattern in a file.
grep "pattern" file.txt
  • find -name : Find files by name in a directory.
find /path/to/directory -name "file.txt"

4). System Information:

  • top: Display a dynamic view of system processes.
top
  • df -h: Show disk space usage.
df -h
  • free -h: Display free and used memory.
free -h

5). Package Management (Linux):

  • apt-get install : Install a package (Debian/Ubuntu).
sudo apt-get install package-name
  • yum install : Install a package (Red Hat/CentOS).
sudo yum install package-name

6). Network and Connectivity:

  • ping : Send ICMP echo requests to a host.
ping google.com

ifconfig or ip addr: Show network interface information.

ifconfig
  • ssh @: Connect to a remote server using SSH.
ssh username@hostname

Anaconda Jupyter Notebook Shortcut Keys:

1. Command Mode Shortcuts (Press Esc to enter command mode):

  • A: Insert a new cell above the current cell.
  • B: Insert a new cell below the current cell.
  • D, D (Press D twice): Delete the current cell.
  • M: Change the cell type to Markdown.
  • Y: Change the cell type to Code.
  • Shift + Enter: Run the current cell and move to the next one.
  • Ctrl + Enter: Run the current cell and stay on it.
  • Up Arrow or K: Select the cell above the current cell.
  • Down Arrow or J: Select the cell below the current cell.

2. Edit Mode Shortcuts (Press Enter to enter edit mode):

  • Shift + Tab: Show docstring and function signature help.
  • Tab: Code completion or indentation.
  • Ctrl + /: Comment/uncomment selected lines.
  • Ctrl + Shift + -: Split the current cell at the cursor position.

3. Other Useful Shortcuts:

  • Esc, H: Show keyboard shortcuts help.
  • Esc, I, I (Press I twice): Interrupt the kernel.
  • Esc, 0, 0 (Press 0 twice): Restart the kernel.
  • Esc, L: Toggle line numbers in code cells.
  • Esc, O: Toggle cell output.

In summary, mastering these essential terminal commands and Anaconda Jupyter Notebook shortcuts empowers users, whether engineers or data scientists, with the tools to navigate and efficiently perform a wide array of tasks. By embracing the command-line interface and harnessing the power of these commands, you can significantly enhance your efficiency and productivity, ultimately unlocking the full potential of your computer. Whether you’re managing files, searching for information, or monitoring system processes, these skills are invaluable in today’s technology-driven world, enabling you to work with greater control and flexibility while making the most of your computing experience.

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