Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
total_rows = sum(1 for row in open(file_path, 'r')) - 1 # excluding header # Create chunks for each process chunks = [{'start': start, 'size': chunk_size} for start in range(0, total_rows, chunk_size)] num_processes = 5 process_chunks = [chunks[i::num_processes] for i in range(num_processes)] #