Add Linux snippets documentation for data science tools

Author: imohitmayank

docs/data_science_tools/linux_snippets.md

@@ -0,0 +1,142 @@
+# Linux snippets
+
+A collection of useful Linux (and macOS) command-line snippets for data science workflows. All commands are compatible with zsh and bash shells.
+
+## List files by size (descending)
+```sh  linenums="1"
+ls -lhS
+```
+
+## Find files larger than 100MB
+```sh  linenums="1"
+find . -type f -size +100M
+```
+
+## Count lines in all CSV files in a directory
+```sh  linenums="1"
+wc -l *.csv
+```
+
+## Show top 10 memory-consuming processes
+```sh  linenums="1"
+ps aux --sort=-%mem | head -n 11
+```
+
+## Search for a pattern in all Python files
+```sh  linenums="1"
+grep -rnw . -e 'pattern' --include=*.py
+```
+
+## Replace text in multiple files (in-place)
+```sh  linenums="1"
+sed -i '' 's/oldtext/newtext/g' *.txt
+```
+
+## Download a file from the internet
+```sh  linenums="1"
+curl -O https://example.com/file.csv
+```
+
+## Extract a tar.gz archive
+```sh  linenums="1"
+tar -xzvf archive.tar.gz
+```
+
+## Monitor disk usage in current directory
+```sh  linenums="1"
+du -sh *
+```
+
+## Show GPU usage (NVIDIA)
+```sh  linenums="1"
+nvidia-smi
+```
+
+Sample output:
+
+```sh linenums="1"
+Wed Jun 11 12:18:15 2025       
++---------------------------------------------------------------------------------------+
+| NVIDIA-SMI 535.183.01             Driver Version: 535.183.01   CUDA Version: 12.2     |
+|-----------------------------------------+----------------------+----------------------+
+| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
+|                                         |                      |               MIG M. |
+|=========================================+======================+======================|
+|   0  NVIDIA H100 PCIe               Off | 00000000:00:08.0 Off |                    0 |
+| N/A   37C    P0             117W / 350W |  27085MiB / 81559MiB |     51%      Default |
+|                                         |                      |             Disabled |
++-----------------------------------------+----------------------+----------------------+
+|   1  NVIDIA H100 PCIe               Off | 00000000:00:09.0 Off |                    0 |
+| N/A   38C    P0              53W / 350W |      3MiB / 81559MiB |      0%      Default |
+|                                         |                      |             Disabled |
++-----------------------------------------+----------------------+----------------------+
+                                                                                         
++---------------------------------------------------------------------------------------+
+| Processes:                                                                            |
+|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
+|        ID   ID                                                             Usage      |
+|=======================================================================================|
+|    0   N/A  N/A    213705      C   /usr/bin/python3                          27076MiB |
++---------------------------------------------------------------------------------------+
+```
+
+## Check Python package versions in environment
+```sh  linenums="1"
+pip freeze
+```
+
+## Create a virtual environment (Python 3)
+```sh  linenums="1"
+python3 -m venv venv
+source venv/bin/activate
+```
+
+## Kill a process by name
+```sh  linenums="1"
+pkill -f process_name
+```
+
+## Count unique values in a CSV column
+```sh  linenums="1"
+cut -d, -f2 file.csv | sort | uniq -c | sort -nr
+```
+
+## Preview a CSV file (first 5 rows)
+```sh  linenums="1"
+head -n 5 file.csv
+```
+
+## Check open ports
+```sh  linenums="1"
+lsof -i -P -n | grep LISTEN
+```
+
+## Download all images from a webpage
+```sh  linenums="1"
+wget -nd -r -P ./images -A jpg,jpeg,png,gif http://example.com
+```
+
+## Show the 10 largest files in a directory tree
+```sh  linenums="1"
+find . -type f -exec du -h {} + | sort -rh | head -n 10
+```
+
+## Remove all files except .csv in a directory
+```sh  linenums="1"
+find . ! -name '*.csv' -type f -delete
+```
+
+## Split a large CSV into smaller files (1000 lines each)
+```sh  linenums="1"
+split -l 1000 bigfile.csv smallfile_
+```
+
+## Find the 10 largest directories in the current directory
+```sh  linenums="1"
+du -h --max-depth=1 | sort -hr | head -n 10
+```
+
+---
+
+Feel free to copy, modify, and combine these snippets for your data science projects!

docs/machine_learning/ML_snippets.md

@@ -1,7 +1,7 @@
 Machine Learning / Deep Learning Snippets
 ========================
 
-Sharing some of the most widely used and arguably not *so famous* Machine Learning snippets :wink:
+Sharing some of the most widely used and arguably not *so famous* Machine Learning snippets 😉
 
 ## Feature importance
 

mkdocs.yml

@@ -128,6 +128,7 @@ nav:
   - 'Data Science Tools':
       -  'data_science_tools/introduction.md'
       -  'data_science_tools/python_snippets.md'
+      -  'data_science_tools/linux_snippets.md'
       -  'data_science_tools/version_control.md'
       -  'data_science_tools/compute_and_ai_services.md'
       -  'data_science_tools/scraping_websites.md'