Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

GrokkingDataScientist.tar.gz

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Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. 

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Grokking Data Science

# 3. Array Indexing: Accessing Single Elements

If we want to get and set the values of individual elements in the array, we need to be able to access single elements, correct? Accessing single elements is called indexing arrays.

Indexing in NumPy is similar to Python's standard list indexing. In a *1D* array, we can access the *ith* value by specifying the index of the element we need in **square brackets**. One important thing to remember here is that indexing in Python starts at zero.

Observe the inputs and outputs *(indicated by "**#>**" as start marker)* for the examples given below.

>**Note**: *When running the code, if you want to view the output in the console, you can add print statements if they are already not there, like at the end of this first code widget. I have omitted them to remove noise from the code so that you can fully focus on the important bits.*

Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

NumPy Basics - Array Indexing and Slicing

3. Array Indexing: Accessing Single Elements