pandas Tricks: Course Overview
In this lesson you’ll get an overview about the topics covered in this course. This include:
- Configure Options and Settings at Interpreter Startup
- Make Toy Data Structures With pandas’ Testing Module
- Take Advantage of Accessor Methods
- Create a DatetimeIndex from Component Columns
- Use Categorical Data to Save Time and Space
- Introspect Groupby Objects via Iteration
- Mapping Trick for Membership Binning
- Understand How pandas Uses Boolean Operators
- Load Data from the Clipboard
- Write pandas Objects Directly to Compressed Format
00:00 Welcome to the Real Python guide to Pandas: Tips and Features You May Not Know.
00:06 Pandas is a fantastic library for data analytics and processing. There’s more functionality packed into it than can ever be covered in a single series, so these videos will focus on 10 different lesser-known tricks that can help clean up your code or make it run faster.
00:23 This will assume that you have a basic understanding of the core features of Pandas and is aimed at more intermediate usage.
00:30 First, you’ll learn how to configure options and settings at the interpreter startup. Then, you’ll see how to make toy data structures with Pandas’ testing module.
00:41
Next, you’ll see how to take advantage of accessor methods, followed by how to create a DatetimeIndex
from component columns. After that, you’ll see how to use categorical data to save time and space.
00:54
Then you’ll introspect groupby
objects via iteration. You’ll see a mapping trick for membership binning,
01:02 and then you’ll learn how Pandas uses Boolean operators. Next, you’ll learn how to load data from the clipboard. And finally, you’ll see how to write Pandas objects directly to compressed formats.
01:14 Feel free to hop around from video to video. While some of the videos use the same dataset, the concepts covered are relatively independent of each other.
01:22 That’s enough talking for now. It’s time to get to the first trick, configuring options and settings at the interpreter startup.
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