Read Large Datasets with Python

Learn how to read large datasets with Python.

Data comes in so many forms (mainly; images, text, and audio) in this data-driven age, we need to read data for our every next project. In this article, I will take you through 4 ways to read datasets with Python programming language.

How to Read Large Datasets with Python?

When you need to read large datasets which size is larger than RAM, your system will run out of RAM while reading such amount of data which can also lead to a shutdown of your system or system crash.

Also, Read – 100+ Machine Learning Projects Solved and Explained.

Data Scientists often use Python Pandas to work with tables. While Pandas is great for small to medium size datasets, larger ones are problematic.

Below are the 4 best ways to read large datasets using the Python programming language.

Pandas

Pandas is an Open Source library which is used to provide high performance and easy to use data structures and various data analysis tools for the Python programming language. Let’s see how to use Pandas to read large datasets with Python:

import pandas as pd
train1 = pd.read_csv("train.csv")

Dask

Dask is a flexible library in Python for parallel computing. It is made up of dynamic task planning and various Big Data tools. Let’s see how to use Dask to read large datasets:

import dask.dataframe as dd
train2 = dd.read_csv("train.csv").compute()

Datatable

Datatable is a python library for working with tabular data. It supports out of heavy and large datasets, data processing, and flexible APIs. Let’s see how to use Datatable to read large datasets:

import datatable as dt
train3 = dt.fread("train.csv")

Rapids

The RAPIDS is a data science framework which includes a collection of Python libraries for running end-to-end data science pipelines entirely on the GPU. Let’s see how to use it to read large datasets:

import cudf
train4 = cudf.read_csv("train.csv")

This is how we can use these 4 libraries for reading large and heavy datasets. I hope you liked this article on how to read large datasets with Python programming language. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal

I am a programmer from India, and I am here to guide you with Data Science, Machine Learning, Python, and C++ for free. I hope you will learn a lot in your journey towards Coding, Machine Learning and Artificial Intelligence with me.

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