Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
memory all at once, chunking allows you to process the file in parts, thus mitigating memory constraints. import pandas as pd chunk_size = 1000 # Number of rows per chunk chunks = [] for chunk in pd.read_csv('df.csv', chunksize=chunk_size): chunks.append(chunk) final_result = pd.concat(chunks)