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Python visual guides, step-by-step tutorials
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Default parameters using Lists in Python
Published: Mon Sep 30 20192-minute read (300 words)
Beginner
 Python allows you to provide default values for your functions. Using lists or objects can result in some puzzling behavior. Let's explore how we can set default values for list arguments. Default parameters using Lists in Python
Simple data statistics with Pandas
Published: Sat Sep 07 20195-minute read (600 words)
Beginner
 Pandas provides rich summary statistics on your dataset without any heavy lifting. Meaningful stats can be generated by leveraging group by and aggregation. Simple data statistics with Pandas
Using filter to simplify Python
Published: Wed Sep 04 20196-minute read (700 words)
Beginner
 Python's filter function replaces a common pattern of loop + if statement combination. The built-in function, filter, allows you to simplify the overhead of looping syntax and improves readability. Using filter to simplify Python
When to use Numpy
Published: Fri Aug 23 20196-minute read (700 words)
Beginner
 When should I start using Python's Numpy library and what types of benefits can I expect? We will explore 3 reasons why it might be time to move over now based on your audience, built-in matrix/vector algorithms, and your application's performance. When to use Numpy
Exploring matplotlib styling and plot colors
Published: Mon Aug 12 20196-minute read (800 words)
Beginner
 The default matplotlib style isn't for everyone. Checkout all the built-in styles that are available and how easy it is to make your plots a bit better for print or presentation. Exploring matplotlib styling and plot colors
Slicing Python Built-in Lists and Numpy Arrays
Published: Thu Aug 08 201910-minute read (1200 words)
Beginner
 Access values from Python lists using slicing. Slicing is simply just selecting a subset of the data. Learn how to handle 2D and 3D with row and column slices. Slicing Python Built-in Lists and Numpy Arrays
How fast are list comprehensions
Published: Thu Aug 01 20196-minute read (800 words)
Intermediate
 List comprehension, map + lambda, or should you use for-loops? Which has better performance and are there times when we should use one over another? How fast are list comprehensions
Python Web Scraping Introduction
Updated: Mon Jul 08 201910-minute read (1200 words)
Advanced
 Web Scraping using Python to start grabbing website data. Simple tutorial to explore the Women's World Cup 2019 results. Python Web Scraping Introduction
How to install Python Notebooks
Published: Thu Jul 04 20194-minute read (350 words)
Beginner
 Start plotting Python charts with a single download! Step-by-step Python installation guide with images for every setting. Wrap up with a quick charting tutorial to see results. How to install Python Notebooks


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