Using NumPy to import flat files

In this exercise, you're now going to load the MNIST digit recognition dataset using the numpy function loadtxt() and see just how easy it can be:

The first argument will be the filename.
The second will be the delimiter which, in this case, is a comma.

The MNIST dataset is a collection of handwritten digits from 0 to 9, frequently used in the field of machine learning. It serves as a benchmark for evaluating algorithm performance in recognizing and classifying these numbers.

Fill in the arguments of np.loadtxt() by passing file and a comma ',' for the delimiter.
Fill in the argument of print() to print the type of the object digits. Use the function type().
Execute the rest of the code to visualize one of the rows of the data.

script.py

IPython Shell

Introduction and flat files

Importing data from other file types

Working with relational databases in Python

Exercise

Exercise

Using NumPy to import flat files

Instructions

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