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Intro to NumPy: Python’s Most Powerful DS Library

SAT Score Range

•

4 sessions

•

+4

This series ended on July 19, 2025. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

Ready to take your Python skills to the next level? In this beginner-friendly session, we’ll dive into NumPy, the powerful Python library that makes working with numbers and data fast and easy. You’ll learn how to use NumPy arrays, do quick math, and understand why it's a favorite for data scientists, engineers, and machine learning pros. No prior experience with NumPy required—just basic Python knowledge (like variables and lists). We’ll wrap up each session with a fun Kahoot quiz to test your skills!

Tutored by

Nathan J 🇺🇸

Senior Tutor

View Profile

Hello, I am Nathan J, and I'm a computer science tutor here at schoolhouse! I love the world of coding, and I think it has very strong potential. I genuinely do believe if you use coding to your advantage, you can create anything your creativity desires!

Schedule

✋ ATTENDANCE POLICY

Please try not to miss any sessions as each one builds off of the previous. If you can't absolutely come, please make sure to message me!

SESSION 1

15

Jul

SESSION 1

Other Topics

Other Topics

Tue 2:30 AM - 3:30 AM UTCJul 15, 2:30 AM - 3:30 AM UTC

By the end of the session, students should understand what NumPy is, why it’s used, and where it's used in real life, without feeling overwhelmed by code. I want to spark yall's interest and give you guys a mental model of what NumPy really is able to do! Althought just an interactive lesson for the first session, next time will be more learning based with Kahoots!
SESSION 2

16

Jul

SESSION 2

Computer Science

Computer Science

Wed 2:00 AM - 3:00 AM UTCJul 16, 2:00 AM - 3:00 AM UTC

By the end of the session, students should understand what NumPy is, why it’s used, and where it's used in real life, without feeling overwhelmed by code. I want to spark yall's interest and give you guys a mental model of what NumPy really is able to do! Althought just an interactive lesson for the first session, next time will be more learning based with Kahoots!
SESSION 3

17

Jul

SESSION 3

Computer Science

Computer Science

Thu 1:00 PM - 2:00 PM UTCJul 17, 1:00 PM - 2:00 PM UTC

TBD
SESSION 4

19

Jul

SESSION 4

Computer Science

Computer Science

Sat 1:00 PM - 2:00 PM UTCJul 19, 1:00 PM - 2:00 PM UTC

TBD

Public Discussion

Please log in to see discussion on this series.

Jul 15 - Jul 19

1 week

60 mins

/ session

SCHEDULE

Tuesday, Jul 15

2:30AM

Wednesday, Jul 16

2:00AM

Thursday, Jul 17

1:00PM

Saturday, Jul 19

1:00PM