Get started with the basics of analytics in Python, the language of choice for data science.

Python Data Analysis and Visualization

Get started with the basics of analytics in Python, the language of choice for data science using Python data structures,  descriptive statistics, and much more.

Data Analysis and Visualization

## Numpy
Create a function which takes that `numpy` 1-D array as input and returns the following (in the same order as listed):

* __Max__ - Maximum value in the array 
* __Std__ - Measure of variation between the elements of an array
* __Sum__ - Value obtained as a result of adding all the elements of an array
* __Dot product__ - Inner product of the vectors

Try to implement the function below. Feel free to view the solution, after giving it a few shots. Good Luck!

# Numpy
Create a function which takes that `numpy` 1-D array as input and returns the following (in the same order as listed):

* __Max__ - Maximum value in the array 
* __Std__ - Measure of variation between the elements of an array
* __Sum__ - Value obtained as a result of adding all the elements of an array
* __Dot product__ - Inner product of the vectors

Try to implement the function below. Feel free to view the solution, after giving it a few shots. Good Luck!

This lesson provides a few exercises to test your understanding of the Python basics for analytics.

What is Analytics

Python Basics for Analytics

Describing Data

Cleaning Data

Visualizing Data

Exercise: Using Numpy and Scipy

Numpy #