Session and Environment Control

Verify the active Python interpreter version:

python3 --version

Manage persistent terminal sessions using GNU Screen:

# List active sessions
screen -list
# Initialize a named session for background tasks
screen -S model_training
# Reattach to a detached session
screen -r model_training

To detach without terminating processes, press Ctrl+A followed by D.

Terminate unresponsive processes forcefully:

kill -SIGKILL <PID>

Modify shell environment variables and apply changes immediately:

vim ~/.bashrc
# Press 'i' to insert, 'Esc' to exit insert mode, then type ':wq' to save and quit
source ~/.bashrc

Package and Dependancy Management

Handle Python libraries via pip:

pip3 --version
python3 -m pip install --upgrade pip
pip3 install pandas==2.0.3 --index-url https://pypi.org/simple/
pip3 cache purge

Manage environments and packages via Conda:

conda --version
conda update -n base conda
conda install scikit-learn
conda clean -a

Hardware and Resource Monitoring

Inspect NVIDIA GPU utilization, memory allocation, and thermal status:

nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv

Retrieve operating system release details:

cat /etc/os-release
lsb_release -d

Analyze storage allocation and block devices:

df -hT
lsblk -o NAME,SIZE,ROTA,FSTYPE
du -sh /opt/workspace/datasets/

Monitor CPU architecture, load, and memory consumption:

vmstat 2 5
top -d 2
getconf LONG_BIT
free -h
lscpu | grep -E "^CPU\(|Model name"
awk '/MemTotal|MemAvailable|SwapTotal/ {printf "%-15s %6.2f GB\n", $1, $2/1024/1024}' /proc/meminfo

File System and Directory Operations

Extract archives and manipulate directories:

unzip archive_data.zip
mkdir -p experiments/run_04
cp -r src/ backups/src_latest/
mv deprecated_script.py archived_script.py
rm -i temporary_log.txt
rm -rf /tmp/ml_cache/

Network connectivity verification and file metadata inspection:

ping -c 4 1.1.1.1
touch pipeline_runner.sh
file weights_v2.bin
history | grep "train"

Advanced Search and Archive Handling

Locate files based on name patterns or size thresholds:

find /data -type f -name "*.csv"
find /var/log -type f -size +50M
ls -la | grep "\.json$"

Search file contents efficiently across directories:

find . -type f -name "*.py" -exec grep -l "import tensorflow" {} +
grep -n "RuntimeError" app.log system.log

Compress, inspect, and extract tarball archives:

tar -czvf project_backup.tar.gz /opt/workspace/src/
tar -tzvf project_backup.tar.gz
tar -xzvf project_backup.tar.gz -C /restore/destination/