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--- examples [2025/03/31 22:00] – nshegunov
+++ examples [2025/03/31 22:28] (current) – nshegunov
@@ Line 1: / Line 1: @@
-=== PyTorch Example: ===
+====MPI4PI====
+TOD
+----
+==== PyTorch====
 Consider the following simple python test script( "pytorch_test.py"):
@@ Line 46: / Line 50: @@
 </code>
+----
+====Pandas====
+Consider the following simple python test script( “pandas_test.py”):
+<code python>
+import pandas as pd
+import numpy as np
+# Create a simple DataFrame
+data = {
+    'A': [1, 2, 3, 4],
+    'B': [5, 6, 7, 8],
+    'C': [9, 10, 11, 12]
+}
+df = pd.DataFrame(data)
+print("Original DataFrame:")
+print(df)
+# Test basic operations
+print("\nSum of each column:")
+print(df.sum())
+print("\nMean of each column:")
+print(df.mean())
+# Adding a new column
+df['D'] = df['A'] + df['B']
+print("\nDataFrame after adding new column D (A + B):")
+print(df)
+# Filtering rows
+filtered_df = df[df['A'] > 2]
+print("\nFiltered DataFrame (A > 2):")
+print(filtered_df)
+# Check if NaN values exist
+print("\nCheck for NaN values:")
+print(df.isna().sum())
+</code>
+You can use the following snatch script to run it:
+<code bash>
+#!/bin/bash
+#SBATCH --job-name=pytorch_test
+#SBATCH --output=pytorch_test.out
+#SBATCH --error=pytorch_test.err
+#SBATCH --time=00:10:00
+#SBATCH --partition=a40
+#SBATCH --gres=gpu:1
+#SBATCH --mem=4G
+#SBATCH --cpus-per-task=2
+# Load necessary modules (modify based on your system)
+module load python/3.13.1-llvm
+module load python/3.13/pandas/2.2.3
+# Activate your virtual environment if needed
+# source ~/your_env/bin/activate
+# Run the PyTorch script
+python3.13 pandas_test.py
+</code>
+----
+====Other popular====
+TOD