Pandas Tricks

Idiomatic Pandas: Tricks & Features You May Not Know

Joe Tatusko

Joe Tatusko 11 Lessons 47m
data-science intermediate

Pandas is a foundational library for analytics, data processing, and data science. It’s a huge project with tons of optionality and depth.

In this course you’ll see how to use some lesser-used but idiomatic Pandas capabilities that lend your code better readability, versatility, and speed.

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Pandas Tricks & Features You May Not Know

11 Lessons 47m

1. Pandas Tricks: Course Overview 01:29

2. Configure Options and Settings at Interpreter Startup 07:11

3. Make Toy Data Structures With Pandas' Testing Module 03:07

4. Take Advantage of Accessor Methods 05:51

5. Create a DatetimeIndex from Component Columns 04:14

6. Use Categorical data to Save Time and Space 05:39

7. Introspect Groupby Objects via Iteration 05:35

8. Mapping Trick for Membership Binning 04:10

9. How Pandas Uses Boolean Operators 05:54

10. Load Data From the Clipboard 02:16

11. Write Pandas Objects Directly to Compressed Formats 02:29

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About Joe Tatusko

Joe Tatusko Joe Tatusko

Joe is a manufacturing engineer turned Pythonista with interests in data wrangling and visualization.

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Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

Tappan Moore

Tappan
Florian Dahlitz

Florian
Dan Bader

Dan
Brad Solomon

Brad
Geir Arne Hjelle

Geir Arne
Joanna Jablonski

Joanna
James Mertz

James

Participant Comments

Pygator on Nov. 28, 2019

Finally finished, I had forgotten about this course, but more videos from you on Core Pandas datastructures would be nice. Great tips. Also, you sound like the lead actor in Boyhood; I recently watched that movie.

senatoduro8 on July 17, 2019

I love the clipboard trick. It’s my favorite so far and it allow me to copy data from the “supporting material” page and get working with without having to save it first as file because it’s a throw away file anyway.

Thanks for the tutorial

andrewcheryl on April 12, 2019

Awesome course - full of really useful tips. Thankyou !

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