MetaSnake Products/2023-12-04-Pandas-Polars-DuckDB

  • $400

Beyond Pandas 1: Pandas 2, Polars, & DuckDB

  • Course
  • 12 Lessons

Master Advanced Data Manipulation & Analysis Techniques Across Three Powerful Libraries.

Dec 4, 6, 8 3pm EST-4:30pm (Noon-1:30pm PST)

Take Your Data Skills to the Next Level

Compare Three Powerful Libraries

Dive deep into advanced Pandas techniques and explore the emerging powerhouses: Polars and DuckDB.

Spend time writing code in all three libraries to get a feel for them and understand their pros and cons.

Three Libraries

Explore and Contrast these Powerful Libraries

Polars

Master the Expressions

Pandas 2

New Types and Speed

DuckDB

CTEs & Pivots

About the Instructor

Matt Harrison

Matt Harrison emerges as a paragon of knowledge and erudition. Hailing from the venerable corridors of Stanford's Computer Science institution, Sir Matt embarked upon his Python odyssey in the auspicious year of 2000.

He is the distinguished scribe behind revered tomes such as "Effective Pandas", "Effective XGBoost", "Machine Learning Pocket Reference", and "Illustrated Guide to Learning Python 3."

His contributions extend beyond the realm of the quill. He has bestowed his sagacious insights upon the eminent establishments of Netflix and NASA and graced the academic cloisters of Stanford and BYU with his learned discourses. His pedagogical approach, a harmonious blend of scholarly theory and empirical wisdom, has illuminated the path for countless aspirants.

In this course, you shall partake of Matt's vast reservoir of knowledge, delving deep into the intricacies of Pandas, Polars, and DuckDB. Embark upon this grand sojourn with Sir Matt and elevate your scholarly pursuits to unparalleled echelons!

Testimonials for Matt's Pandas Work

To start with machine learning, one of the most important skills you should build:
• Learning how to manipulate data
"Effective Pandas" is probably the best book on the market.

This will single handily give you everything you need! 

@svpino

One of the best investments that you can make when becoming a data scientist is to become a Pandas expert, and there is no better book than Harrison’s to help you get there.

Lak Lakshmanan

Website

I am immensely grateful for discovering "Effective Pandas" by 🐍 Matt Harrison. This book has profoundly transformed my data science journey.

Andrés García

Website

Frequently asked questions

You’ve got questions. We’ve got answers.

Who is this course for?

This course is tailored for data enthusiasts, ranging from beginners curious about data manipulation to seasoned professionals seeking advanced techniques in Pandas, Polars, and DuckDB.

Are there any prerequisites for the course?

A basic understanding of Python is recommended. Familiarity with data manipulation libraries like Pandas would be beneficial but is not mandatory.

Is there a certification upon course completion?

Yes, upon completing the course, you will receive a certificate to acknowledge your proficiency.

Do I need any specific software or tools for this course?

You'll need a computer with access to the internet. I will enable you to run the labs with no installation on your part.

If you want to run the materials on your own, you should have access to Jupyter and knowledge of installing Python libraries.

What is the refund policy?

We offer a 30-day money-back guarantee. If you're unsatisfied for any reason, you can request a full refund within this period.

Can I get reimbursed by my company?

Yes. I encourage it. The email template is available here.

Can my team enroll?

Of course. If you prefer to learn this material with your own data, reach out, and let's create a course that addresses your unique needs.

I can't make one of the sessions. Is this recorded?

Yes, it will be recorded.

Money-Back Guarantee

Our Promise to You

If, for any reason, you find that the course does not meet your expectations or you feel it's not the right fit for you, we offer a no-questions-asked money-back guarantee within 30 days of purchase.

  • $400

Beyond Pandas 1

We will meet for 3 classes. One for Pandas 2, Polars, and DuckDB.