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Building a Machine Learning Pipeline from Scratch

Managing Dependencies

Understand the importance of managing software dependencies when building ML pipelines. Learn how to list required libraries with specific versions, create requirements files, and use package managers like pip to ensure your code runs consistently on other machines.

We'll cover the following...

The need for dependency management

When we write code for others to use, it’s important that we package it appropriately and provide them with everything they would need to install and run the program. Consider the following code:

Python 3.8
for i in range(10):
    print(i)

This code may be given to anyone as it is because everything used here is either a standard Python language feature or part of the Python standard library. However, consider the following code:

Python 3.8
import numpy as np
for i in np.arange(10):
    print(i)

Can we give this to another developer and ...